pytorch0.41をcaffe2と個別にインストールしてからPyTorchをインポートすると、以下のようなエラーが吐き出される。
1 | libshm.so: undefined symbol: _ZTI24THRefcountedMapAllocator |
このエラーを解消するにはpytorchとcaffe2を同時にインストールする必要がある。
スポンサーリンク
pytorchをgit cloneする。¶
先ず、pytorchをgit cloneで任意のディレクトリにクローンする(ここでは割愛)。その後にpytorchディレクトリに入る。
cd /root/pytorch
/root/pytorch
既にpytorchディレクトリが存在する場合は、gitを最新版に更新する。
!git pull
remote: Counting objects: 49, done. remote: Compressing objects: 100% (7/7), done. remote: Total 49 (delta 36), reused 38 (delta 35), pack-reused 7 Unpacking objects: 100% (49/49), done. From https://github.com/pytorch/pytorch facb293aa..329d901a9 master -> origin/master + 42f5923d3...ed7ae9a02 suo/mutable -> origin/suo/mutable (forced update) Updating facb293aa..329d901a9 Fast-forward .../include/nomnigraph/Representations/NeuralNet.h | 2 + caffe2/opt/converter.cc | 81 +++++++++- caffe2/opt/converter_nomigraph_test.cc | 50 ++++++ caffe2/opt/optimize_ideep.cc | 96 +++++++----- caffe2/python/ideep/convfusion_op_test.py | 169 +++++++++++++++++++++ test/test_torch.py | 8 +- torch/csrc/utils/tensor_numpy.cpp | 5 + 7 files changed, 370 insertions(+), 41 deletions(-)
!git submodule update --init --recursive
スポンサーリンク
PyTorchとCaffe2の同時インストール¶
!FULL_CAFFE2=1 python setup.py install
Building wheel torch-0.5.0a0+329d901
running install
running build_deps
+ USE_CUDA=0
+ USE_ROCM=0
+ USE_NNPACK=0
+ USE_MKLDNN=0
+ USE_GLOO_IBVERBS=0
+ USE_DISTRIBUTED_MW=0
+ FULL_CAFFE2=0
+ [[ 9 -gt 0 ]]
+ case "$1" in
+ USE_CUDA=1
+ shift
+ [[ 8 -gt 0 ]]
+ case "$1" in
+ USE_NNPACK=1
+ shift
+ [[ 7 -gt 0 ]]
+ case "$1" in
+ FULL_CAFFE2=1
+ shift
+ [[ 6 -gt 0 ]]
+ case "$1" in
+ break
+ CMAKE_INSTALL='make install'
+ BUILD_SHARED_LIBS=ON
+ USER_CFLAGS=
+ USER_LDFLAGS=
+ [[ -n '' ]]
+ [[ -n '' ]]
+ [[ -n '' ]]
++ uname
+ '[' Linux == Darwin ']'
++ dirname tools/build_pytorch_libs.sh
+ cd tools/..
+++ pwd
++ printf '%q\n' /root/pytorch
+ PWD=/root/pytorch
+ BASE_DIR=/root/pytorch
+ TORCH_LIB_DIR=/root/pytorch/torch/lib
+ INSTALL_DIR=/root/pytorch/torch/lib/tmp_install
+ THIRD_PARTY_DIR=/root/pytorch/third_party
+ CMAKE_VERSION=cmake
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN"'
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1'
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib" '
+ LD_POSTFIX=.so
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ [[ 0 -eq 1 ]]
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN'
+ CPP_FLAGS=' -std=c++11 '
+ GLOO_FLAGS=
+ THD_FLAGS=
+ NCCL_ROOT_DIR=/usr/
+ [[ 1 -eq 1 ]]
+ GLOO_FLAGS='-DUSE_CUDA=1 -DNCCL_ROOT_DIR=/usr/'
+ [[ 0 -eq 1 ]]
+ [[ 0 -eq 1 ]]
+ CWRAP_FILES='/root/pytorch/torch/lib/ATen/Declarations.cwrap;/root/pytorch/torch/lib/THNN/generic/THNN.h;/root/pytorch/torch/lib/THCUNN/generic/THCUNN.h;/root/pytorch/torch/lib/ATen/nn.yaml'
+ CUDA_NVCC_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1'
+ [[ -z '' ]]
+ CUDA_DEVICE_DEBUG=0
+ '[' -z 12 ']'
+ BUILD_TYPE=Release
+ [[ -n '' ]]
+ [[ -n '' ]]
+ echo 'Building in Release mode'
Building in Release mode
+ mkdir -p torch/lib/tmp_install
+ for arg in "$@"
+ [[ caffe2 == \n\c\c\l ]]
+ [[ caffe2 == \g\l\o\o ]]
+ [[ caffe2 == \c\a\f\f\e\2 ]]
+ pushd /root/pytorch
~/pytorch ~/pytorch
+ build_caffe2
+ [[ -z '' ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS=()
+ [[ -n '' ]]
+ [[ -n /root/.pyenv/versions/py370/lib/python3.7/site-packages ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH")
+ mkdir -p build
+ pushd build
~/pytorch/build ~/pytorch ~/pytorch
+ cmake .. -DBUILDING_WITH_TORCH_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DBUILD_CAFFE2=1 -DBUILD_TORCH=ON -DBUILD_ATEN=ON -DBUILD_PYTHON=1 -DBUILD_BINARY=OFF -DBUILD_SHARED_LIBS=ON -DONNX_NAMESPACE=onnx_torch -DUSE_CUDA=1 -DCAFFE2_STATIC_LINK_CUDA= -DUSE_ROCM=0 -DUSE_NNPACK=1 -DCUDNN_INCLUDE_DIR=/usr/include/ -DCUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu/ -DCUDNN_LIBRARY=/usr/lib/x86_64-linux-gnu/libcudnn.so.7 -DUSE_MKLDNN=0 -DMKLDNN_INCLUDE_DIR= -DMKLDNN_LIB_DIR= -DMKLDNN_LIBRARY= -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch/lib/tmp_install -DCMAKE_EXPORT_COMPILE_COMMANDS=1 -DCMAKE_C_FLAGS= -DCMAKE_CXX_FLAGS= '-DCMAKE_EXE_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' '-DCMAKE_SHARED_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' -DCMAKE_PREFIX_PATH=/root/.pyenv/versions/py370/lib/python3.7/site-packages
-- Does not need to define long separately.
-- std::exception_ptr is supported.
-- NUMA is available
-- Current compiler supports avx2 extention. Will build perfkernels.
-- Building using own protobuf under third_party per request.
-- Use custom protobuf build.
-- Caffe2 protobuf include directory: $<BUILD_INTERFACE:/root/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
-- The BLAS backend of choice:Eigen
-- Brace yourself, we are building NNPACK
-- The ASM compiler identification is GNU
-- Found assembler: /usr/bin/gcc-6
-- Found PythonInterp: /root/.pyenv/versions/3.7.0/bin/python (found version "3.7")
-- Caffe2: Found gflags with new-style gflags target.
-- Caffe2: Found glog with new-style glog target.
-- Found lmdb (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/liblmdb.so)
-- Found LevelDB (include: /usr/local/include, library: /usr/lib/x86_64-linux-gnu/libleveldb.so)
-- Found Snappy (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libsnappy.so)
-- Found Numa (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libnuma.so)
-- Found CUDA: /usr/local/cuda-9.2 (found suitable exact version "9.2")
-- OpenCV found (/root/usr/local/opencv/share/OpenCV)
-- Found system Eigen at /usr/local/include/eigen3
Python 3.7.0b3
-- Found PythonInterp: /root/.pyenv/versions/3.7.0/bin/python (found suitable version "3.7", minimum required is "2.7")
-- NumPy ver. 1.15.0 found (include: /root/.pyenv/versions/3.7.0/lib/python3.7/site-packages/numpy-1.15.0-py3.7-linux-x86_64.egg/numpy/core/include)
-- Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR)
-- Found CUDA: /usr/local/cuda-9.2 (found suitable version "9.2", minimum required is "7.0")
-- Caffe2: CUDA detected: 9.2
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.2/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.2
-- Caffe2: Header version is: 9.2
-- Found CUDNN: /usr/include/
-- Found cuDNN: v7.2.1 (include: /usr/include/, library: /usr/lib/x86_64-linux-gnu/libcudnn.so.7)
-- Autodetected CUDA architecture(s): 6.1
-- Added CUDA NVCC flags for: -gencode;arch=compute_61,code=sm_61
-- Determining NCCL version from the header file: /usr/include/nccl.h
-- NCCL_MAJOR_VERSION: 2
-- Found NCCL (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libnccl.so)
-- Could NOT find CUB (missing: CUB_INCLUDE_DIR)
-- Could NOT find Gloo (missing: Gloo_INCLUDE_DIR Gloo_LIBRARY)
-- CUDA detected: 9.2
-- Found libcuda: /usr/lib/x86_64-linux-gnu/libcuda.so
-- Found libnvrtc: /usr/local/cuda-9.2/lib64/libnvrtc.so
-- Determining NCCL version from the header file: /usr/include/nccl.h
-- NCCL_MAJOR_VERSION: 2
-- Found NCCL (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libnccl.so)
-- Performing Test SUPPORT_GLIBCXX_USE_C99
-- Performing Test SUPPORT_GLIBCXX_USE_C99 - Success
-- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor
-- Removing -DNDEBUG from compile flags
-- Found OpenMP_C: -fopenmp (found version "4.5")
-- Found OpenMP_CXX: -fopenmp (found version "4.5")
-- Found OpenMP: TRUE (found version "4.5")
-- Compiling with OpenMP support
-- MAGMA not found. Compiling without MAGMA support
-- Could not find hardware support for NEON on this machine.
-- No OMAP3 processor on this machine.
-- No OMAP4 processor on this machine.
-- Performing Test COMPILER_WORKS
-- Performing Test COMPILER_WORKS - Success
-- Looking for cpuid.h
-- Looking for cpuid.h - found
-- Performing Test HAVE_GCC_GET_CPUID
-- Performing Test HAVE_GCC_GET_CPUID - Success
-- Performing Test NO_GCC_EBX_FPIC_BUG
-- Performing Test NO_GCC_EBX_FPIC_BUG - Success
-- Performing Test C_HAS_SSE1_1
-- Performing Test C_HAS_SSE1_1 - Success
-- Performing Test C_HAS_SSE2_1
-- Performing Test C_HAS_SSE2_1 - Success
-- Performing Test C_HAS_SSE3_1
-- Performing Test C_HAS_SSE3_1 - Failed
-- Performing Test C_HAS_SSE3_2
-- Performing Test C_HAS_SSE3_2 - Success
-- Performing Test C_HAS_SSE4_1_1
-- Performing Test C_HAS_SSE4_1_1 - Failed
-- Performing Test C_HAS_SSE4_1_2
-- Performing Test C_HAS_SSE4_1_2 - Success
-- Performing Test C_HAS_SSE4_2_1
-- Performing Test C_HAS_SSE4_2_1 - Failed
-- Performing Test C_HAS_SSE4_2_2
-- Performing Test C_HAS_SSE4_2_2 - Success
-- Performing Test C_HAS_AVX_1
-- Performing Test C_HAS_AVX_1 - Failed
-- Performing Test C_HAS_AVX_2
-- Performing Test C_HAS_AVX_2 - Success
-- Performing Test C_HAS_AVX2_1
-- Performing Test C_HAS_AVX2_1 - Failed
-- Performing Test C_HAS_AVX2_2
-- Performing Test C_HAS_AVX2_2 - Success
-- Performing Test CXX_HAS_SSE1_1
-- Performing Test CXX_HAS_SSE1_1 - Success
-- Performing Test CXX_HAS_SSE2_1
-- Performing Test CXX_HAS_SSE2_1 - Success
-- Performing Test CXX_HAS_SSE3_1
-- Performing Test CXX_HAS_SSE3_1 - Failed
-- Performing Test CXX_HAS_SSE3_2
-- Performing Test CXX_HAS_SSE3_2 - Success
-- Performing Test CXX_HAS_SSE4_1_1
-- Performing Test CXX_HAS_SSE4_1_1 - Failed
-- Performing Test CXX_HAS_SSE4_1_2
-- Performing Test CXX_HAS_SSE4_1_2 - Success
-- Performing Test CXX_HAS_SSE4_2_1
-- Performing Test CXX_HAS_SSE4_2_1 - Failed
-- Performing Test CXX_HAS_SSE4_2_2
-- Performing Test CXX_HAS_SSE4_2_2 - Success
-- Performing Test CXX_HAS_AVX_1
-- Performing Test CXX_HAS_AVX_1 - Failed
-- Performing Test CXX_HAS_AVX_2
-- Performing Test CXX_HAS_AVX_2 - Success
-- Performing Test CXX_HAS_AVX2_1
-- Performing Test CXX_HAS_AVX2_1 - Failed
-- Performing Test CXX_HAS_AVX2_2
-- Performing Test CXX_HAS_AVX2_2 - Success
-- SSE2 Found
-- SSE3 Found
-- AVX Found
-- AVX2 Found
-- Performing Test HAS_C11_ATOMICS
-- Performing Test HAS_C11_ATOMICS - Failed
-- Performing Test HAS_MSC_ATOMICS
-- Performing Test HAS_MSC_ATOMICS - Failed
-- Performing Test HAS_GCC_ATOMICS
-- Performing Test HAS_GCC_ATOMICS - Success
-- Atomics: using GCC intrinsics
-- Looking for sys/types.h
-- Looking for sys/types.h - found
-- Looking for stdint.h
-- Looking for stdint.h - found
-- Looking for stddef.h
-- Looking for stddef.h - found
-- Check size of void*
-- Check size of void* - done
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
-- Library mkl_intel_lp64: /opt/intel/mkl/lib/intel64/libmkl_intel_lp64.so
-- Library mkl_gnu_thread: /opt/intel/mkl/lib/intel64/libmkl_gnu_thread.so
-- Library mkl_core: /opt/intel/mkl/lib/intel64/libmkl_core.so
-- Found OpenMP_C: -fopenmp (found version "4.5")
-- Found OpenMP_CXX: -fopenmp (found version "4.5")
-- Library gomp: -fopenmp
-- Library pthread: /usr/lib/x86_64-linux-gnu/libpthread.so
-- Library m: /usr/lib/x86_64-linux-gnu/libm.so
-- Library dl: /usr/lib/x86_64-linux-gnu/libdl.so
-- Looking for cblas_sgemm
-- Looking for cblas_sgemm - found
-- MKL library found
-- Performing Test BLAS_F2C_DOUBLE_WORKS
-- Performing Test BLAS_F2C_DOUBLE_WORKS - Failed
-- Performing Test BLAS_F2C_FLOAT_WORKS
-- Performing Test BLAS_F2C_FLOAT_WORKS - Success
-- Performing Test BLAS_USE_CBLAS_DOT
-- Performing Test BLAS_USE_CBLAS_DOT - Success
-- Found a library with BLAS API (mkl).
-- Found a library with LAPACK API. (mkl)
-- Found CUDA: /usr/local/cuda-9.2 (found suitable version "9.2", minimum required is "5.5")
-- Could NOT find MKLDNN (missing: MKLDNN_INCLUDE_DIR MKLDNN_LIBRARY)
-- MKLDNN not found. Compiling without MKLDNN support
-- Looking for clock_gettime in rt
-- Looking for clock_gettime in rt - found
-- Looking for mmap
-- Looking for mmap - found
-- Looking for shm_open
-- Looking for shm_open - found
-- Looking for shm_unlink
-- Looking for shm_unlink - found
-- Looking for malloc_usable_size
-- Looking for malloc_usable_size - found
-- Performing Test C_HAS_THREAD
-- Performing Test C_HAS_THREAD - Success
-- GCC 6.4.0: Adding gcc and gcc_s libs to link line
-- Using python found in /root/.pyenv/versions/py370/bin/python
-- Check size of long double
-- Check size of long double - done
-- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE
-- Performing Test COMPILER_SUPPORTS_LONG_DOUBLE - Success
-- Performing Test COMPILER_SUPPORTS_FLOAT128
-- Performing Test COMPILER_SUPPORTS_FLOAT128 - Success
-- Performing Test COMPILER_SUPPORTS_SSE2
-- Performing Test COMPILER_SUPPORTS_SSE2 - Success
-- Performing Test COMPILER_SUPPORTS_SSE4
-- Performing Test COMPILER_SUPPORTS_SSE4 - Success
-- Performing Test COMPILER_SUPPORTS_AVX
-- Performing Test COMPILER_SUPPORTS_AVX - Success
-- Performing Test COMPILER_SUPPORTS_FMA4
-- Performing Test COMPILER_SUPPORTS_FMA4 - Success
-- Performing Test COMPILER_SUPPORTS_AVX2
-- Performing Test COMPILER_SUPPORTS_AVX2 - Success
-- Performing Test COMPILER_SUPPORTS_SVE
-- Performing Test COMPILER_SUPPORTS_SVE - Failed
-- Performing Test COMPILER_SUPPORTS_AVX512F
-- Performing Test COMPILER_SUPPORTS_AVX512F - Failed
-- Found OpenMP_C: -fopenmp (found version "4.5")
-- Found OpenMP_CXX: -fopenmp (found version "4.5")
-- Performing Test COMPILER_SUPPORTS_OPENMP
-- Performing Test COMPILER_SUPPORTS_OPENMP - Success
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES
-- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Success
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH
-- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Success
-- Configuring build for SLEEF-v3.2
Target system: Linux-4.15.0-30-generic
Target processor: x86_64
Host system: Linux-4.15.0-30-generic
Host processor: x86_64
Detected C compiler: GNU @ /usr/bin/gcc-6
-- Using option `-Wall -Wno-unused -Wno-attributes -Wno-unused-result -Wno-psabi -ffp-contract=off -fno-math-errno -fno-trapping-math` to compile libsleef
-- Building shared libs : OFF
-- MPFR : /usr/lib/x86_64-linux-gnu/libmpfr.so
-- MPFR header file in /usr/include
-- GMP : /usr/lib/x86_64-linux-gnu/libgmp.so
-- RUNNING_ON_TRAVIS : 0
-- COMPILER_SUPPORTS_OPENMP : 1
-- Using python found in /root/.pyenv/versions/py370/bin/python
-- Include NCCL operators
-- Excluding ideep operators as we are not using ideep
-- Including image processing operators
-- Excluding video processing operators due to no opencv
-- Excluding mkl operators as we are not using mkl
-- MPI operators skipped due to no MPI support
-- Include Observer library
-- Using lib/python3.7/site-packages as python relative installation path
-- Automatically generating missing __init__.py files.
-- A previous caffe2 cmake run already created the __init__.py files.
CMake Warning at CMakeLists.txt:347 (message):
Generated cmake files are only fully tested if one builds with system glog,
gflags, and protobuf. Other settings may generate files that are not well
tested.
--
-- ******** Summary ********
-- General:
-- CMake version : 3.10.2
-- CMake command : /usr/bin/cmake
-- Git version : v0.1.11-9816-g329d901a9
-- System : Linux
-- C++ compiler : /usr/bin/g++-6
-- C++ compiler version : 6.4.0
-- BLAS : Eigen
-- CXX flags : -msse3 -msse4.1 -msse4.2 --std=c++11 -fvisibility-inlines-hidden -rdynamic -DONNX_NAMESPACE=onnx_torch -fopenmp -O2 -fPIC -Wno-narrowing -Wall -Wextra -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow
-- Build type : Release
-- Compile definitions : USE_GCC_ATOMICS=1;TH_BLAS_MKL;HAVE_MMAP=1;_FILE_OFFSET_BITS=64;HAVE_SHM_OPEN=1;HAVE_SHM_UNLINK=1;HAVE_MALLOC_USABLE_SIZE=1
-- CMAKE_PREFIX_PATH : /root/.pyenv/versions/py370/lib/python3.7/site-packages
-- CMAKE_INSTALL_PREFIX : /root/pytorch/torch/lib/tmp_install
--
-- BUILD_CAFFE2 : 1
-- BUILD_ATEN : ON
-- BUILD_BINARY : OFF
-- BUILD_CUSTOM_PROTOBUF : ON
-- Link local protobuf : ON
-- BUILD_DOCS : OFF
-- BUILD_PYTHON : 1
-- Python version : 3.7
-- Python executable : /root/.pyenv/versions/3.7.0/bin/python
-- Pythonlibs version : 3.7.0
-- Python library : /root/.pyenv/versions/3.7.0/lib/libpython3.7m.so
-- Python includes : /root/.pyenv/versions/3.7.0/include/python3.7m
-- Python site-packages: lib/python3.7/site-packages
-- BUILD_SHARED_LIBS : ON
-- BUILD_TEST : OFF
-- USE_ASAN : OFF
-- USE_ATEN : OFF
-- USE_CUDA : 1
-- CUDA static link :
-- USE_CUDNN : ON
-- CUDA version : 9.2
-- cuDNN version : 7.2.1
-- CUDA root directory : /usr/local/cuda-9.2
-- CUDA library : /usr/lib/x86_64-linux-gnu/libcuda.so
-- cudart library : /usr/local/cuda-9.2/lib64/libcudart_static.a;-pthread;dl;/usr/lib/x86_64-linux-gnu/librt.so
-- cublas library : /usr/local/cuda-9.2/lib64/libcublas.so;/usr/local/cuda-9.2/lib64/libcublas_device.a
-- cufft library : /usr/local/cuda-9.2/lib64/libcufft.so
-- curand library : /usr/local/cuda-9.2/lib64/libcurand.so
-- cuDNN library : /usr/lib/x86_64-linux-gnu/libcudnn.so.7
-- nvrtc : /usr/local/cuda-9.2/lib64/libnvrtc.so
-- CUDA include path : /usr/local/cuda-9.2/include
-- NVCC executable : /usr/local/cuda-9.2/bin/nvcc
-- CUDA host compiler : /usr/bin/gcc-6
-- USE_TENSORRT : OFF
-- USE_ROCM : OFF
-- USE_EIGEN_FOR_BLAS : ON
-- USE_FFMPEG : OFF
-- USE_GFLAGS : ON
-- USE_GLOG : ON
-- USE_GLOO : ON
-- USE_GLOO_IBVERBS : OFF
-- USE_LEVELDB : ON
-- LevelDB version : 1.20
-- Snappy version : ..
-- USE_LITE_PROTO : OFF
-- USE_LMDB : ON
-- LMDB version : 0.9.21
-- USE_METAL : OFF
-- USE_MKL :
-- USE_MOBILE_OPENGL : OFF
-- USE_MPI : OFF
-- USE_NCCL : ON
-- USE_SYSTEM_NCCL : OFF
-- USE_NERVANA_GPU : OFF
-- USE_NNPACK : 1
-- USE_OBSERVERS : ON
-- USE_OPENCL : OFF
-- USE_OPENCV : ON
-- OpenCV version : 3.4.2
-- USE_OPENMP : OFF
-- USE_PROF : OFF
-- USE_REDIS : OFF
-- USE_ROCKSDB : OFF
-- USE_ZMQ : OFF
-- USE_DISTRIBUTED : OFF
-- Public Dependencies : Threads::Threads;gflags;glog::glog
-- Private Dependencies : nnpack;cpuinfo;/usr/lib/x86_64-linux-gnu/liblmdb.so;/usr/lib/x86_64-linux-gnu/libleveldb.so;/usr/lib/x86_64-linux-gnu/libsnappy.so;/usr/lib/x86_64-linux-gnu/libnuma.so;opencv_core;opencv_highgui;opencv_imgproc;opencv_imgcodecs;opencv_videoio;opencv_video;gloo;aten_op_header_gen;onnxifi_loader;rt;gcc_s;gcc;dl
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:
CUDNN_LIB_DIR
-- Build files have been written to: /root/pytorch/build
+ make install -j12
Scanning dependencies of target pthreadpool
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[ 0%] Built target clog
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[ 0%] Generating ../aten/src/ATen/CPUByteType.cpp, ../aten/src/ATen/CPUByteType.h, ../aten/src/ATen/CPUCharType.cpp, ../aten/src/ATen/CPUCharType.h, ../aten/src/ATen/CPUCopy.cpp, ../aten/src/ATen/CPUDoubleType.cpp, ../aten/src/ATen/CPUDoubleType.h, ../aten/src/ATen/CPUFloatType.cpp, ../aten/src/ATen/CPUFloatType.h, ../aten/src/ATen/CPUGenerator.h, ../aten/src/ATen/CPUHalfType.cpp, ../aten/src/ATen/CPUHalfType.h, ../aten/src/ATen/CPUIntType.cpp, ../aten/src/ATen/CPUIntType.h, ../aten/src/ATen/CPULongType.cpp, ../aten/src/ATen/CPULongType.h, ../aten/src/ATen/CPUShortType.cpp, ../aten/src/ATen/CPUShortType.h, ../aten/src/ATen/Declarations.yaml, ../aten/src/ATen/Functions.h, ../aten/src/ATen/NativeFunctions.h, ../aten/src/ATen/SparseCPUByteType.cpp, ../aten/src/ATen/SparseCPUByteType.h, ../aten/src/ATen/SparseCPUCharType.cpp, ../aten/src/ATen/SparseCPUCharType.h, ../aten/src/ATen/SparseCPUDoubleType.cpp, ../aten/src/ATen/SparseCPUDoubleType.h, ../aten/src/ATen/SparseCPUFloatType.cpp, ../aten/src/ATen/SparseCPUFloatType.h, ../aten/src/ATen/SparseCPUIntType.cpp, ../aten/src/ATen/SparseCPUIntType.h, ../aten/src/ATen/SparseCPULongType.cpp, ../aten/src/ATen/SparseCPULongType.h, ../aten/src/ATen/SparseCPUShortType.cpp, ../aten/src/ATen/SparseCPUShortType.h, ../aten/src/ATen/Tensor.h, ../aten/src/ATen/TensorMethods.h, ../aten/src/ATen/Type.cpp, ../aten/src/ATen/Type.h, ../aten/src/ATen/CUDAByteType.cpp, ../aten/src/ATen/CUDAByteType.h, ../aten/src/ATen/CUDACharType.cpp, ../aten/src/ATen/CUDACharType.h, ../aten/src/ATen/CUDACopy.cpp, ../aten/src/ATen/CUDADoubleType.cpp, ../aten/src/ATen/CUDADoubleType.h, ../aten/src/ATen/CUDAFloatType.cpp, ../aten/src/ATen/CUDAFloatType.h, ../aten/src/ATen/CUDAGenerator.h, ../aten/src/ATen/CUDAHalfType.cpp, ../aten/src/ATen/CUDAHalfType.h, ../aten/src/ATen/CUDAIntType.cpp, ../aten/src/ATen/CUDAIntType.h, ../aten/src/ATen/CUDALongType.cpp, ../aten/src/ATen/CUDALongType.h, ../aten/src/ATen/CUDAShortType.cpp, ../aten/src/ATen/CUDAShortType.h, ../aten/src/ATen/RegisterCUDA.cpp, ../aten/src/ATen/RegisterCUDA.h, ../aten/src/ATen/SparseCUDAByteType.cpp, ../aten/src/ATen/SparseCUDAByteType.h, ../aten/src/ATen/SparseCUDACharType.cpp, ../aten/src/ATen/SparseCUDACharType.h, ../aten/src/ATen/SparseCUDADoubleType.cpp, ../aten/src/ATen/SparseCUDADoubleType.h, ../aten/src/ATen/SparseCUDAFloatType.cpp, ../aten/src/ATen/SparseCUDAFloatType.h, ../aten/src/ATen/SparseCUDAIntType.cpp, ../aten/src/ATen/SparseCUDAIntType.h, ../aten/src/ATen/SparseCUDALongType.cpp, ../aten/src/ATen/SparseCUDALongType.h, ../aten/src/ATen/SparseCUDAShortType.cpp, ../aten/src/ATen/SparseCUDAShortType.h
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[ 2%] Generating ../aten/src/ATen/CPUByteType.cpp, ../aten/src/ATen/CPUByteType.h, ../aten/src/ATen/CPUCharType.cpp, ../aten/src/ATen/CPUCharType.h, ../aten/src/ATen/CPUCopy.cpp, ../aten/src/ATen/CPUDoubleType.cpp, ../aten/src/ATen/CPUDoubleType.h, ../aten/src/ATen/CPUFloatType.cpp, ../aten/src/ATen/CPUFloatType.h, ../aten/src/ATen/CPUGenerator.h, ../aten/src/ATen/CPUHalfType.cpp, ../aten/src/ATen/CPUHalfType.h, ../aten/src/ATen/CPUIntType.cpp, ../aten/src/ATen/CPUIntType.h, ../aten/src/ATen/CPULongType.cpp, ../aten/src/ATen/CPULongType.h, ../aten/src/ATen/CPUShortType.cpp, ../aten/src/ATen/CPUShortType.h, ../aten/src/ATen/Declarations.yaml, ../aten/src/ATen/Functions.h, ../aten/src/ATen/NativeFunctions.h, ../aten/src/ATen/SparseCPUByteType.cpp, ../aten/src/ATen/SparseCPUByteType.h, ../aten/src/ATen/SparseCPUCharType.cpp, ../aten/src/ATen/SparseCPUCharType.h, ../aten/src/ATen/SparseCPUDoubleType.cpp, ../aten/src/ATen/SparseCPUDoubleType.h, ../aten/src/ATen/SparseCPUFloatType.cpp, ../aten/src/ATen/SparseCPUFloatType.h, ../aten/src/ATen/SparseCPUIntType.cpp, ../aten/src/ATen/SparseCPUIntType.h, ../aten/src/ATen/SparseCPULongType.cpp, ../aten/src/ATen/SparseCPULongType.h, ../aten/src/ATen/SparseCPUShortType.cpp, ../aten/src/ATen/SparseCPUShortType.h, ../aten/src/ATen/Tensor.h, ../aten/src/ATen/TensorMethods.h, ../aten/src/ATen/Type.cpp, ../aten/src/ATen/Type.h, ../aten/src/ATen/CUDAByteType.cpp, ../aten/src/ATen/CUDAByteType.h, ../aten/src/ATen/CUDACharType.cpp, ../aten/src/ATen/CUDACharType.h, ../aten/src/ATen/CUDACopy.cpp, ../aten/src/ATen/CUDADoubleType.cpp, ../aten/src/ATen/CUDADoubleType.h, ../aten/src/ATen/CUDAFloatType.cpp, ../aten/src/ATen/CUDAFloatType.h, ../aten/src/ATen/CUDAGenerator.h, ../aten/src/ATen/CUDAHalfType.cpp, ../aten/src/ATen/CUDAHalfType.h, ../aten/src/ATen/CUDAIntType.cpp, ../aten/src/ATen/CUDAIntType.h, ../aten/src/ATen/CUDALongType.cpp, ../aten/src/ATen/CUDALongType.h, ../aten/src/ATen/CUDAShortType.cpp, ../aten/src/ATen/CUDAShortType.h, ../aten/src/ATen/RegisterCUDA.cpp, ../aten/src/ATen/RegisterCUDA.h, ../aten/src/ATen/SparseCUDAByteType.cpp, ../aten/src/ATen/SparseCUDAByteType.h, ../aten/src/ATen/SparseCUDACharType.cpp, ../aten/src/ATen/SparseCUDACharType.h, ../aten/src/ATen/SparseCUDADoubleType.cpp, ../aten/src/ATen/SparseCUDADoubleType.h, ../aten/src/ATen/SparseCUDAFloatType.cpp, ../aten/src/ATen/SparseCUDAFloatType.h, ../aten/src/ATen/SparseCUDAIntType.cpp, ../aten/src/ATen/SparseCUDAIntType.h, ../aten/src/ATen/SparseCUDALongType.cpp, ../aten/src/ATen/SparseCUDALongType.h, ../aten/src/ATen/SparseCUDAShortType.cpp, ../aten/src/ATen/SparseCUDAShortType.h
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/root/pytorch/third_party/gloo/gloo/cuda_private.h: In destructor ‘gloo::CudaDeviceGuard::~CudaDeviceGuard()’:
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaSetDevice(previous_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In destructor ‘gloo::CudaStream::~CudaStream()’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:78:413: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaEventSynchronize(event_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:78:413: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu:79:409: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaEventDestroy(event_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:79:409: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu:82:411: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaStreamDestroy(stream_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:82:411: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda_private.h: In destructor ‘gloo::CudaDeviceGuard::~CudaDeviceGuard()’:
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaSetDevice(previous_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda_private.cu: In instantiation of ‘gloo::CudaMemory<T>::~CudaMemory() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:113:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(ptr_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = signed char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:292:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = signed char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:292:64: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = unsigned char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:293:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = unsigned char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:293:66: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:294:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda_private.cu: In instantiation of ‘gloo::CudaMemory<T>::~CudaMemory() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:114:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:294:63: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = long int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:295:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = long int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:295:64: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = long unsigned int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:296:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = long unsigned int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:296:66: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:297:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:297:60: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:298:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:298:58: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
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/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = double]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:299:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
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/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = double]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:299:59: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
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/root/pytorch/third_party/gloo/gloo/cuda_private.h: In destructor ‘gloo::CudaDeviceGuard::~CudaDeviceGuard()’:
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaSetDevice(previous_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: note: in C++11 destructors default to noexcept
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Writing /root/pytorch/build/third_party/onnx/onnx/onnx-operators_onnx_torch.proto
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Writing /root/pytorch/build/third_party/onnx/onnx/onnx-operators.pb.h
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Scanning dependencies of target Caffe2_PROTO
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/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = signed char]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:340:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaEventDestroy(ncclEvents[i]));
^
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
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/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = unsigned char]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:341:16: required from here
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/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = int]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:342:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
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Scanning dependencies of target onnx_proto
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = long int]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:343:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = long unsigned int]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:344:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:345:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:346:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu: In instantiation of ‘gloo::nccl::NCCLExecution<T>::~NCCLExecution() [with T = double]’:
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:347:16: required from here
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/nccl/nccl.cu:93:428: note: in C++11 destructors default to noexcept
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In file included from /root/pytorch/aten/src/ATen/core/typeid.h:22:0,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.cpp:1:
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<std::is_integral<_Tp2>::value, bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:85:53: warning: use of old-style cast [-Wold-style-cast]
return f > limit::max() || (f < 0 && -(uint64_t)f > limit::max());
^
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<(! std::is_integral<_Tp2>::value), bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:95:49: warning: use of old-style cast [-Wold-style-cast]
if (limit::has_infinity && std::isinf((double)f)) {
^
In file included from /root/pytorch/aten/src/ATen/core/Half.h:125:0,
from /root/pytorch/aten/src/ATen/core/typeid.h:22,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.cpp:1:
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:65:18: warning: use of old-style cast [-Wold-style-cast]
return -(float)a;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:91:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:94:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:97:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:100:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:104:21: warning: use of old-style cast [-Wold-style-cast]
return a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:107:21: warning: use of old-style cast [-Wold-style-cast]
return a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:110:21: warning: use of old-style cast [-Wold-style-cast]
return a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:113:21: warning: use of old-style cast [-Wold-style-cast]
return a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator+=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:117:22: warning: use of old-style cast [-Wold-style-cast]
return a += (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator-=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:120:22: warning: use of old-style cast [-Wold-style-cast]
return a -= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator*=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:123:22: warning: use of old-style cast [-Wold-style-cast]
return a *= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator/=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:126:22: warning: use of old-style cast [-Wold-style-cast]
return a /= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:132:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:135:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:138:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:141:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:145:22: warning: use of old-style cast [-Wold-style-cast]
return a + (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:148:22: warning: use of old-style cast [-Wold-style-cast]
return a - (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:151:22: warning: use of old-style cast [-Wold-style-cast]
return a * (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:154:22: warning: use of old-style cast [-Wold-style-cast]
return a / (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:160:20: warning: use of old-style cast [-Wold-style-cast]
return a + (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:163:20: warning: use of old-style cast [-Wold-style-cast]
return a - (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:166:20: warning: use of old-style cast [-Wold-style-cast]
return a * (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:169:20: warning: use of old-style cast [-Wold-style-cast]
return a / (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:173:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:176:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:179:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:182:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a / b;
^
In file included from /root/pytorch/caffe2/core/typeid.h:7:0,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.cpp:1:
/root/pytorch/aten/src/ATen/core/typeid.h: At global scope:
/root/pytorch/aten/src/ATen/core/typeid.h:460:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(0, uint8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:461:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(1, int8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:462:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(2, int16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:463:33: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(3, int);
^
/root/pytorch/aten/src/ATen/core/typeid.h:464:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(4, int64_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:465:38: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(5, at::Half);
^
/root/pytorch/aten/src/ATen/core/typeid.h:466:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(6, float);
^
/root/pytorch/aten/src/ATen/core/typeid.h:467:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(7, double);
^
/root/pytorch/aten/src/ATen/core/typeid.h:470:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(9, Tensor);
^
/root/pytorch/aten/src/ATen/core/typeid.h:471:42: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(10, std::string);
^
/root/pytorch/aten/src/ATen/core/typeid.h:472:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(11, bool);
^
/root/pytorch/aten/src/ATen/core/typeid.h:473:39: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(12, uint16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:474:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(13, char);
^
/root/pytorch/aten/src/ATen/core/typeid.h:475:58: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(14, std::unique_ptr<std::mutex>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:476:65: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(15, std::unique_ptr<std::atomic<bool>>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:477:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(16, std::vector<int32_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:478:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(17, std::vector<int64_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:479:57: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(18, std::vector<unsigned long>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:480:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(19, bool*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:481:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(20, char*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:482:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(21, int*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:489:62: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(24, _CaffeHighestPreallocatedTypeId);
^
In file included from /root/pytorch/caffe2/core/dispatch/OpSchema.h:4:0,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.cpp:1:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:41: warning: redundant redeclaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’ in same scope [-Wredundant-decls]
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/build/caffe2/proto/caffe2.pb.h:85:41: note: previous declaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
[ 25%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/defs.cc.o
[ 25%] Linking CXX static library ../../../lib/libnomnigraph.a
[ 25%] Built target nomnigraph
[ 25%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/rnn/old.cc.o
Scanning dependencies of target Caffe2_perfkernels_avx2
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
[ 25%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/schema.cc.o
[ 25%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/common_avx2.cc.o
[ 25%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/DispatchKey.cpp.o
In file included from /root/pytorch/aten/src/ATen/core/typeid.h:22:0,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.cpp:1:
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<std::is_integral<_Tp2>::value, bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:85:53: warning: use of old-style cast [-Wold-style-cast]
return f > limit::max() || (f < 0 && -(uint64_t)f > limit::max());
^
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<(! std::is_integral<_Tp2>::value), bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:95:49: warning: use of old-style cast [-Wold-style-cast]
if (limit::has_infinity && std::isinf((double)f)) {
^
In file included from /root/pytorch/aten/src/ATen/core/Half.h:125:0,
from /root/pytorch/aten/src/ATen/core/typeid.h:22,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.cpp:1:
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:65:18: warning: use of old-style cast [-Wold-style-cast]
return -(float)a;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:91:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:94:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:97:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:100:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:104:21: warning: use of old-style cast [-Wold-style-cast]
return a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:107:21: warning: use of old-style cast [-Wold-style-cast]
return a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:110:21: warning: use of old-style cast [-Wold-style-cast]
return a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:113:21: warning: use of old-style cast [-Wold-style-cast]
return a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator+=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:117:22: warning: use of old-style cast [-Wold-style-cast]
return a += (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator-=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:120:22: warning: use of old-style cast [-Wold-style-cast]
return a -= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator*=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:123:22: warning: use of old-style cast [-Wold-style-cast]
return a *= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator/=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:126:22: warning: use of old-style cast [-Wold-style-cast]
return a /= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:132:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:135:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:138:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:141:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:145:22: warning: use of old-style cast [-Wold-style-cast]
return a + (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:148:22: warning: use of old-style cast [-Wold-style-cast]
return a - (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:151:22: warning: use of old-style cast [-Wold-style-cast]
return a * (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:154:22: warning: use of old-style cast [-Wold-style-cast]
return a / (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:160:20: warning: use of old-style cast [-Wold-style-cast]
return a + (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:163:20: warning: use of old-style cast [-Wold-style-cast]
return a - (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:166:20: warning: use of old-style cast [-Wold-style-cast]
return a * (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:169:20: warning: use of old-style cast [-Wold-style-cast]
return a / (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:173:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:176:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:179:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:182:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a / b;
^
In file included from /root/pytorch/caffe2/core/typeid.h:7:0,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.cpp:1:
/root/pytorch/aten/src/ATen/core/typeid.h: At global scope:
/root/pytorch/aten/src/ATen/core/typeid.h:460:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(0, uint8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:461:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(1, int8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:462:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(2, int16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:463:33: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(3, int);
^
/root/pytorch/aten/src/ATen/core/typeid.h:464:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(4, int64_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:465:38: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(5, at::Half);
^
/root/pytorch/aten/src/ATen/core/typeid.h:466:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(6, float);
^
/root/pytorch/aten/src/ATen/core/typeid.h:467:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(7, double);
^
/root/pytorch/aten/src/ATen/core/typeid.h:470:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(9, Tensor);
^
/root/pytorch/aten/src/ATen/core/typeid.h:471:42: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(10, std::string);
^
/root/pytorch/aten/src/ATen/core/typeid.h:472:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(11, bool);
^
/root/pytorch/aten/src/ATen/core/typeid.h:473:39: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(12, uint16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:474:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(13, char);
^
/root/pytorch/aten/src/ATen/core/typeid.h:475:58: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(14, std::unique_ptr<std::mutex>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:476:65: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(15, std::unique_ptr<std::atomic<bool>>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:477:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(16, std::vector<int32_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:478:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(17, std::vector<int64_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:479:57: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(18, std::vector<unsigned long>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:480:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(19, bool*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:481:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(20, char*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:482:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(21, int*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:489:62: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(24, _CaffeHighestPreallocatedTypeId);
^
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
Skipping data_ptr Because of Ret: void* (void*)
Skipping multinomial Because of Arg: Generator * (Generator*)
Skipping normal Because of Arg: Generator * (Generator*)
Skipping normal Because of Arg: Generator * (Generator*)
Skipping normal Because of Arg: Generator * (Generator*)
Skipping _th_bernoulli Because of Arg: Generator * (Generator*)
Skipping tensor Because of Arg: Storage & (Storage)
Skipping tensor Because of Arg: Storage & (Storage)
Skipping prelu_backward Because of Arg: std::array<bool,2> (std::array<bool,2>)
Skipping rrelu_with_noise Because of Arg: Generator * (Generator*)
Skipping rrelu_with_noise_forward Because of Arg: Generator * (Generator*)
Skipping thnn_batch_norm_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping thnn_conv_transpose2d_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping thnn_conv_transpose3d_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping thnn_conv2d_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping thnn_conv_depthwise2d_backward Because of Arg: std::array<bool,2> (std::array<bool,2>)
Skipping thnn_conv3d_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping thnn_conv_dilated2d_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping thnn_conv_dilated3d_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping _cudnn_rnn_backward Because of Arg: std::array<bool,4> (std::array<bool,4>)
Skipping _cudnn_init_dropout_state Because of Arg: const Type & (Type)
Skipping _fused_dropout Because of Arg: Generator * (Generator *)
Skipping arange because it is a factory method
Skipping bartlett_window because it is a factory method
Skipping bernoulli Because of Arg: Generator * (Generator *)
Skipping bernoulli Because of Arg: Generator * (Generator *)
Skipping blackman_window because it is a factory method
Skipping _convolution_double_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping cudnn_convolution_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping cudnn_convolution_transpose_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping cumsum Because of Arg: ScalarType (ScalarType)
Skipping cumprod Because of Arg: ScalarType (ScalarType)
Skipping einsum Because of Arg: std::string (std::string)
Skipping empty because it is a factory method
Skipping empty_like because it is a factory method
Skipping eye because it is a factory method
Skipping full because it is a factory method
Skipping full_like because it is a factory method
Skipping hann_window because it is a factory method
Skipping hamming_window because it is a factory method
Skipping _cufft_set_plan_cache_max_size Because of Ret: void (void)
Skipping _cufft_clear_plan_cache Because of Ret: void (void)
Skipping linspace because it is a factory method
Skipping logspace because it is a factory method
Skipping mean Because of Arg: ScalarType (ScalarType)
Skipping mean Because of Arg: ScalarType (ScalarType)
Skipping mean Because of Arg: ScalarType (ScalarType)
Skipping mkldnn_convolution_backward Because of Arg: std::array<bool,3> (std::array<bool,3>)
Skipping ones because it is a factory method
Skipping ones_like because it is a factory method
Skipping rand because it is a factory method
Skipping rand_like because it is a factory method
Skipping randint because it is a factory method
Skipping randint_like because it is a factory method
Skipping randn because it is a factory method
Skipping randn_like because it is a factory method
Skipping randperm because it is a factory method
Skipping range because it is a factory method
Skipping rrelu Because of Arg: Generator * (Generator *)
Skipping sum Because of Arg: ScalarType (ScalarType)
Skipping sum Because of Arg: ScalarType (ScalarType)
Skipping sum Because of Arg: ScalarType (ScalarType)
Skipping prod Because of Arg: ScalarType (ScalarType)
Skipping prod Because of Arg: ScalarType (ScalarType)
Skipping prod Because of Arg: ScalarType (ScalarType)
Skipping zeros because it is a factory method
Skipping zeros_like because it is a factory method
Skipping _standard_gamma Because of Arg: Generator * (Generator *)
Skipping poisson Because of Arg: Generator * (Generator *)
Skipping native_tensor Because of Arg: const Type & (Type)
Skipping native_tensor Because of Arg: const Type & (Type)
Skipping tensor Because of Arg: const Type & (Type)
Skipping tensor Because of Arg: const Type & (Type)
Skipping _sparse_mask Because of Arg: SparseTensorRef (SparseTensorRef)
[ 25%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/embedding_lookup_avx2.cc.o
[ 25%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/DispatchTable.cpp.o
[ 25%] Built target __aten_op_header_gen
[ 25%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/defs.cc.o
[ 25%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/embedding_lookup_fused_8bit_rowwise_avx2.cc.o
[ 25%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/tensor/old.cc.o
In file included from /root/pytorch/aten/src/ATen/core/typeid.h:22:0,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.cpp:1:
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<std::is_integral<_Tp2>::value, bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:85:53: warning: use of old-style cast [-Wold-style-cast]
return f > limit::max() || (f < 0 && -(uint64_t)f > limit::max());
^
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<(! std::is_integral<_Tp2>::value), bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:95:49: warning: use of old-style cast [-Wold-style-cast]
if (limit::has_infinity && std::isinf((double)f)) {
^
In file included from /root/pytorch/aten/src/ATen/core/Half.h:125:0,
from /root/pytorch/aten/src/ATen/core/typeid.h:22,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.cpp:1:
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:65:18: warning: use of old-style cast [-Wold-style-cast]
return -(float)a;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:91:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:94:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:97:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:100:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:104:21: warning: use of old-style cast [-Wold-style-cast]
return a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:107:21: warning: use of old-style cast [-Wold-style-cast]
return a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:110:21: warning: use of old-style cast [-Wold-style-cast]
return a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:113:21: warning: use of old-style cast [-Wold-style-cast]
return a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator+=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:117:22: warning: use of old-style cast [-Wold-style-cast]
return a += (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator-=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:120:22: warning: use of old-style cast [-Wold-style-cast]
return a -= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator*=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:123:22: warning: use of old-style cast [-Wold-style-cast]
return a *= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator/=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:126:22: warning: use of old-style cast [-Wold-style-cast]
return a /= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:132:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:135:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:138:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:141:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:145:22: warning: use of old-style cast [-Wold-style-cast]
return a + (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:148:22: warning: use of old-style cast [-Wold-style-cast]
return a - (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:151:22: warning: use of old-style cast [-Wold-style-cast]
return a * (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:154:22: warning: use of old-style cast [-Wold-style-cast]
return a / (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:160:20: warning: use of old-style cast [-Wold-style-cast]
return a + (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:163:20: warning: use of old-style cast [-Wold-style-cast]
return a - (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:166:20: warning: use of old-style cast [-Wold-style-cast]
return a * (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:169:20: warning: use of old-style cast [-Wold-style-cast]
return a / (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:173:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:176:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:179:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:182:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a / b;
^
In file included from /root/pytorch/caffe2/core/typeid.h:7:0,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.cpp:1:
/root/pytorch/aten/src/ATen/core/typeid.h: At global scope:
/root/pytorch/aten/src/ATen/core/typeid.h:460:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(0, uint8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:461:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(1, int8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:462:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(2, int16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:463:33: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(3, int);
^
/root/pytorch/aten/src/ATen/core/typeid.h:464:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(4, int64_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:465:38: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(5, at::Half);
^
/root/pytorch/aten/src/ATen/core/typeid.h:466:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(6, float);
^
/root/pytorch/aten/src/ATen/core/typeid.h:467:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(7, double);
^
/root/pytorch/aten/src/ATen/core/typeid.h:470:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(9, Tensor);
^
/root/pytorch/aten/src/ATen/core/typeid.h:471:42: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(10, std::string);
^
/root/pytorch/aten/src/ATen/core/typeid.h:472:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(11, bool);
^
/root/pytorch/aten/src/ATen/core/typeid.h:473:39: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(12, uint16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:474:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(13, char);
^
/root/pytorch/aten/src/ATen/core/typeid.h:475:58: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(14, std::unique_ptr<std::mutex>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:476:65: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(15, std::unique_ptr<std::atomic<bool>>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:477:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(16, std::vector<int32_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:478:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(17, std::vector<int64_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:479:57: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(18, std::vector<unsigned long>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:480:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(19, bool*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:481:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(20, char*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:482:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(21, int*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:489:62: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(24, _CaffeHighestPreallocatedTypeId);
^
[ 25%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/defs/traditionalml/defs.cc.o
In file included from /root/pytorch/caffe2/core/dispatch/OpSchema.h:4:0,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.cpp:1:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:41: warning: redundant redeclaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’ in same scope [-Wredundant-decls]
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/build/caffe2/proto/caffe2.pb.h:85:41: note: previous declaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
[ 26%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/optimizer/optimize.cc.o
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
[ 26%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/KernelRegistration.cpp.o
[ 26%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/shape_inference/implementation.cc.o
[ 26%] Building CXX object third_party/onnx/CMakeFiles/onnx.dir/onnx/version_converter/convert.cc.o
[ 26%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/typed_axpy_avx2.cc.o
In file included from /root/pytorch/aten/src/ATen/core/typeid.h:22:0,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.cpp:1:
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<std::is_integral<_Tp2>::value, bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:85:53: warning: use of old-style cast [-Wold-style-cast]
return f > limit::max() || (f < 0 && -(uint64_t)f > limit::max());
^
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<(! std::is_integral<_Tp2>::value), bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:95:49: warning: use of old-style cast [-Wold-style-cast]
if (limit::has_infinity && std::isinf((double)f)) {
^
In file included from /root/pytorch/aten/src/ATen/core/Half.h:125:0,
from /root/pytorch/aten/src/ATen/core/typeid.h:22,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.cpp:1:
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:65:18: warning: use of old-style cast [-Wold-style-cast]
return -(float)a;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:91:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:94:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:97:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:100:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:104:21: warning: use of old-style cast [-Wold-style-cast]
return a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:107:21: warning: use of old-style cast [-Wold-style-cast]
return a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:110:21: warning: use of old-style cast [-Wold-style-cast]
return a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:113:21: warning: use of old-style cast [-Wold-style-cast]
return a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator+=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:117:22: warning: use of old-style cast [-Wold-style-cast]
return a += (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator-=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:120:22: warning: use of old-style cast [-Wold-style-cast]
return a -= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator*=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:123:22: warning: use of old-style cast [-Wold-style-cast]
return a *= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator/=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:126:22: warning: use of old-style cast [-Wold-style-cast]
return a /= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:132:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:135:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:138:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:141:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:145:22: warning: use of old-style cast [-Wold-style-cast]
return a + (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:148:22: warning: use of old-style cast [-Wold-style-cast]
return a - (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:151:22: warning: use of old-style cast [-Wold-style-cast]
return a * (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:154:22: warning: use of old-style cast [-Wold-style-cast]
return a / (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:160:20: warning: use of old-style cast [-Wold-style-cast]
return a + (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:163:20: warning: use of old-style cast [-Wold-style-cast]
return a - (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:166:20: warning: use of old-style cast [-Wold-style-cast]
return a * (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:169:20: warning: use of old-style cast [-Wold-style-cast]
return a / (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:173:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:176:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:179:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:182:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a / b;
^
In file included from /root/pytorch/caffe2/core/typeid.h:7:0,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.cpp:1:
/root/pytorch/aten/src/ATen/core/typeid.h: At global scope:
/root/pytorch/aten/src/ATen/core/typeid.h:460:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(0, uint8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:461:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(1, int8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:462:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(2, int16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:463:33: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(3, int);
^
/root/pytorch/aten/src/ATen/core/typeid.h:464:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(4, int64_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:465:38: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(5, at::Half);
^
/root/pytorch/aten/src/ATen/core/typeid.h:466:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(6, float);
^
/root/pytorch/aten/src/ATen/core/typeid.h:467:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(7, double);
^
/root/pytorch/aten/src/ATen/core/typeid.h:470:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(9, Tensor);
^
/root/pytorch/aten/src/ATen/core/typeid.h:471:42: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(10, std::string);
^
/root/pytorch/aten/src/ATen/core/typeid.h:472:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(11, bool);
^
/root/pytorch/aten/src/ATen/core/typeid.h:473:39: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(12, uint16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:474:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(13, char);
^
/root/pytorch/aten/src/ATen/core/typeid.h:475:58: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(14, std::unique_ptr<std::mutex>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:476:65: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(15, std::unique_ptr<std::atomic<bool>>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:477:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(16, std::vector<int32_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:478:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(17, std::vector<int64_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:479:57: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(18, std::vector<unsigned long>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:480:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(19, bool*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:481:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(20, char*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:482:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(21, int*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:489:62: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(24, _CaffeHighestPreallocatedTypeId);
^
In file included from /root/pytorch/caffe2/core/dispatch/OpSchema.h:4:0,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/KernelRegistration.cpp:1:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:41: warning: redundant redeclaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’ in same scope [-Wredundant-decls]
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/build/caffe2/proto/caffe2.pb.h:85:41: note: previous declaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
[ 26%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/LayoutId.cpp.o
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
[ 26%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/LeftRight.cpp.o
[ 26%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/OpSchema.cpp.o
[ 26%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/OpSchemaRegistration.cpp.o
In file included from /root/pytorch/aten/src/ATen/core/typeid.h:22:0,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchema.cpp:1:
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<std::is_integral<_Tp2>::value, bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:85:53: warning: use of old-style cast [-Wold-style-cast]
return f > limit::max() || (f < 0 && -(uint64_t)f > limit::max());
^
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<(! std::is_integral<_Tp2>::value), bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:95:49: warning: use of old-style cast [-Wold-style-cast]
if (limit::has_infinity && std::isinf((double)f)) {
^
In file included from /root/pytorch/aten/src/ATen/core/Half.h:125:0,
from /root/pytorch/aten/src/ATen/core/typeid.h:22,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchema.cpp:1:
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:65:18: warning: use of old-style cast [-Wold-style-cast]
return -(float)a;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:91:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:94:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:97:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:100:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:104:21: warning: use of old-style cast [-Wold-style-cast]
return a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:107:21: warning: use of old-style cast [-Wold-style-cast]
return a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:110:21: warning: use of old-style cast [-Wold-style-cast]
return a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:113:21: warning: use of old-style cast [-Wold-style-cast]
return a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator+=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:117:22: warning: use of old-style cast [-Wold-style-cast]
return a += (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator-=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:120:22: warning: use of old-style cast [-Wold-style-cast]
return a -= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator*=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:123:22: warning: use of old-style cast [-Wold-style-cast]
return a *= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator/=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:126:22: warning: use of old-style cast [-Wold-style-cast]
return a /= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:132:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:135:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:138:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:141:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:145:22: warning: use of old-style cast [-Wold-style-cast]
return a + (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:148:22: warning: use of old-style cast [-Wold-style-cast]
return a - (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:151:22: warning: use of old-style cast [-Wold-style-cast]
return a * (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:154:22: warning: use of old-style cast [-Wold-style-cast]
return a / (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:160:20: warning: use of old-style cast [-Wold-style-cast]
return a + (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:163:20: warning: use of old-style cast [-Wold-style-cast]
return a - (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:166:20: warning: use of old-style cast [-Wold-style-cast]
return a * (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:169:20: warning: use of old-style cast [-Wold-style-cast]
return a / (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:173:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:176:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:179:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:182:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a / b;
^
In file included from /root/pytorch/caffe2/core/typeid.h:7:0,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchema.cpp:1:
/root/pytorch/aten/src/ATen/core/typeid.h: At global scope:
/root/pytorch/aten/src/ATen/core/typeid.h:460:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(0, uint8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:461:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(1, int8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:462:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(2, int16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:463:33: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(3, int);
^
/root/pytorch/aten/src/ATen/core/typeid.h:464:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(4, int64_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:465:38: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(5, at::Half);
^
/root/pytorch/aten/src/ATen/core/typeid.h:466:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(6, float);
^
/root/pytorch/aten/src/ATen/core/typeid.h:467:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(7, double);
^
/root/pytorch/aten/src/ATen/core/typeid.h:470:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(9, Tensor);
^
/root/pytorch/aten/src/ATen/core/typeid.h:471:42: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(10, std::string);
^
/root/pytorch/aten/src/ATen/core/typeid.h:472:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(11, bool);
^
/root/pytorch/aten/src/ATen/core/typeid.h:473:39: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(12, uint16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:474:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(13, char);
^
/root/pytorch/aten/src/ATen/core/typeid.h:475:58: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(14, std::unique_ptr<std::mutex>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:476:65: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(15, std::unique_ptr<std::atomic<bool>>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:477:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(16, std::vector<int32_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:478:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(17, std::vector<int64_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:479:57: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(18, std::vector<unsigned long>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:480:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(19, bool*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:481:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(20, char*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:482:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(21, int*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:489:62: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(24, _CaffeHighestPreallocatedTypeId);
^
In file included from /root/pytorch/aten/src/ATen/core/typeid.h:22:0,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.cpp:1:
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<std::is_integral<_Tp2>::value, bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:85:53: warning: use of old-style cast [-Wold-style-cast]
return f > limit::max() || (f < 0 && -(uint64_t)f > limit::max());
^
/root/pytorch/aten/src/ATen/core/Half.h: In function ‘typename std::enable_if<(! std::is_integral<_Tp2>::value), bool>::type at::overflows(From)’:
/root/pytorch/aten/src/ATen/core/Half.h:95:49: warning: use of old-style cast [-Wold-style-cast]
if (limit::has_infinity && std::isinf((double)f)) {
^
In file included from /root/pytorch/aten/src/ATen/core/Half.h:125:0,
from /root/pytorch/aten/src/ATen/core/typeid.h:22,
from /root/pytorch/caffe2/core/typeid.h:7,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.cpp:1:
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:49:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:53:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:57:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(const at::Half&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h:61:28: warning: use of old-style cast [-Wold-style-cast]
return (float)a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:65:18: warning: use of old-style cast [-Wold-style-cast]
return -(float)a;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:91:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:94:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:97:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(at::Half, float)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:100:17: warning: use of old-style cast [-Wold-style-cast]
return (float)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator+(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:104:21: warning: use of old-style cast [-Wold-style-cast]
return a + (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator-(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:107:21: warning: use of old-style cast [-Wold-style-cast]
return a - (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator*(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:110:21: warning: use of old-style cast [-Wold-style-cast]
return a * (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float at::operator/(float, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:113:21: warning: use of old-style cast [-Wold-style-cast]
return a / (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator+=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:117:22: warning: use of old-style cast [-Wold-style-cast]
return a += (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator-=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:120:22: warning: use of old-style cast [-Wold-style-cast]
return a -= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator*=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:123:22: warning: use of old-style cast [-Wold-style-cast]
return a *= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘float& at::operator/=(float&, const at::Half&)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:126:22: warning: use of old-style cast [-Wold-style-cast]
return a /= (float)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:132:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:135:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:138:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(at::Half, double)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:141:18: warning: use of old-style cast [-Wold-style-cast]
return (double)a / b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator+(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:145:22: warning: use of old-style cast [-Wold-style-cast]
return a + (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator-(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:148:22: warning: use of old-style cast [-Wold-style-cast]
return a - (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator*(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:151:22: warning: use of old-style cast [-Wold-style-cast]
return a * (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘double at::operator/(double, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:154:22: warning: use of old-style cast [-Wold-style-cast]
return a / (double)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:160:20: warning: use of old-style cast [-Wold-style-cast]
return a + (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:163:20: warning: use of old-style cast [-Wold-style-cast]
return a - (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:166:20: warning: use of old-style cast [-Wold-style-cast]
return a * (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(at::Half, int)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:169:20: warning: use of old-style cast [-Wold-style-cast]
return a / (Half)b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator+(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:173:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a + b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator-(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:176:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a - b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator*(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:179:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a * b;
^
/root/pytorch/aten/src/ATen/core/Half-inl.h: In function ‘at::Half at::operator/(int, at::Half)’:
/root/pytorch/aten/src/ATen/core/Half-inl.h:182:16: warning: use of old-style cast [-Wold-style-cast]
return (Half)a / b;
^
In file included from /root/pytorch/caffe2/core/typeid.h:7:0,
from /root/pytorch/caffe2/core/dispatch/DispatchKey.h:5,
from /root/pytorch/caffe2/core/dispatch/OpSchema.h:3,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.cpp:1:
/root/pytorch/aten/src/ATen/core/typeid.h: At global scope:
/root/pytorch/aten/src/ATen/core/typeid.h:460:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(0, uint8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:461:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(1, int8_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:462:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(2, int16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:463:33: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(3, int);
^
/root/pytorch/aten/src/ATen/core/typeid.h:464:37: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(4, int64_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:465:38: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(5, at::Half);
^
/root/pytorch/aten/src/ATen/core/typeid.h:466:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(6, float);
^
/root/pytorch/aten/src/ATen/core/typeid.h:467:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(7, double);
^
/root/pytorch/aten/src/ATen/core/typeid.h:470:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(9, Tensor);
^
/root/pytorch/aten/src/ATen/core/typeid.h:471:42: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(10, std::string);
^
/root/pytorch/aten/src/ATen/core/typeid.h:472:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(11, bool);
^
/root/pytorch/aten/src/ATen/core/typeid.h:473:39: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(12, uint16_t);
^
/root/pytorch/aten/src/ATen/core/typeid.h:474:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(13, char);
^
/root/pytorch/aten/src/ATen/core/typeid.h:475:58: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(14, std::unique_ptr<std::mutex>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:476:65: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(15, std::unique_ptr<std::atomic<bool>>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:477:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(16, std::vector<int32_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:478:51: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(17, std::vector<int64_t>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:479:57: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(18, std::vector<unsigned long>);
^
/root/pytorch/aten/src/ATen/core/typeid.h:480:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(19, bool*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:481:36: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(20, char*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:482:35: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(21, int*);
^
/root/pytorch/aten/src/ATen/core/typeid.h:489:62: warning: extra ‘;’ [-Wpedantic]
CAFFE_DECLARE_KNOWN_TYPE(24, _CaffeHighestPreallocatedTypeId);
^
In file included from /root/pytorch/caffe2/core/dispatch/OpSchema.h:4:0,
from /root/pytorch/caffe2/core/dispatch/OpSchema.cpp:1:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:41: warning: redundant redeclaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’ in same scope [-Wredundant-decls]
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/build/caffe2/proto/caffe2.pb.h:85:41: note: previous declaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
In file included from /root/pytorch/caffe2/core/dispatch/OpSchema.h:4:0,
from /root/pytorch/caffe2/core/dispatch/DispatchTable.h:4,
from /root/pytorch/caffe2/core/dispatch/Dispatcher.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.h:3,
from /root/pytorch/caffe2/core/dispatch/OpSchemaRegistration.cpp:1:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:41: warning: redundant redeclaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’ in same scope [-Wredundant-decls]
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
/root/pytorch/build/caffe2/proto/caffe2.pb.h:85:41: note: previous declaration of ‘const string& caffe2::GetEmptyStringAlreadyInited()’
namespace caffe2 { const ::std::string& GetEmptyStringAlreadyInited();
^~~~~~~~~~~~~~~~~~~~~~~~~~~
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
[ 26%] Built target dispatch
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In file included from /root/pytorch/caffe2/operators/bbox_transform_op.cc:2:0:
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘caffe2::EArrXXt<typename Derived1::Scalar> caffe2::utils::bbox_transform_rotated(const Eigen::ArrayBase<Derived>&, const Eigen::ArrayBase<ExponentDerived>&, const std::vector<typename Derived2::Scalar>&, float, bool, int, int)’:
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:110:26: warning: typedef ‘using EArrX = caffe2::EArrXt<typename Derived::Scalar>’ locally defined but not used [-Wunused-local-typedefs]
using EArrX = EArrXt<T>;
^
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘std::vector<int> caffe2::utils::filter_boxes_rotated(const Eigen::ArrayBase<Derived>&, double, const Array3f&)’:
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:361:26: warning: typedef ‘using EArrX = caffe2::EArrXt<typename Derived::Scalar>’ locally defined but not used [-Wunused-local-typedefs]
using EArrX = EArrXt<T>;
^
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At global scope:
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
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In file included from /root/pytorch/caffe2/operators/generate_proposals_op.cc:2:0:
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘caffe2::EArrXXt<typename Derived1::Scalar> caffe2::utils::bbox_transform_rotated(const Eigen::ArrayBase<Derived>&, const Eigen::ArrayBase<ExponentDerived>&, const std::vector<typename Derived2::Scalar>&, float, bool, int, int)’:
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:110:26: warning: typedef ‘using EArrX = caffe2::EArrXt<typename Derived::Scalar>’ locally defined but not used [-Wunused-local-typedefs]
using EArrX = EArrXt<T>;
^
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h: In function ‘std::vector<int> caffe2::utils::filter_boxes_rotated(const Eigen::ArrayBase<Derived>&, double, const Array3f&)’:
/root/pytorch/caffe2/operators/generate_proposals_op_util_boxes.h:361:26: warning: typedef ‘using EArrX = caffe2::EArrXt<typename Derived::Scalar>’ locally defined but not used [-Wunused-local-typedefs]
using EArrX = EArrXt<T>;
^
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/root/pytorch/caffe2/operators/layer_norm_op.cu: In function ‘void caffe2::_GLOBAL__N__48_tmpxft_00002086_00000000_6_layer_norm_op_cpp1_ii_3485d0cb::allocScratchAndReduce(InputIterator_t, float*, int, int*, caffe2::Tensor*, cudaStream_t) [with InputIterator_t = const float*]’:
/root/pytorch/caffe2/operators/layer_norm_op.cu:50:8: warning: ‘temp_storage_bytes’ may be used uninitialized in this function [-Wmaybe-uninitialized]
size_t temp_storage_bytes;
^~~~~~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/layer_norm_op.cu: In function ‘void caffe2::_GLOBAL__N__48_tmpxft_00002086_00000000_6_layer_norm_op_cpp1_ii_3485d0cb::allocScratchAndReduce(InputIterator_t, float*, int, int*, caffe2::Tensor*, cudaStream_t) [with InputIterator_t = cub::TransformInputIterator<float, caffe2::_GLOBAL__N__48_tmpxft_00002086_00000000_6_layer_norm_op_cpp1_ii_3485d0cb::SqrTransform<float>, const float*>]’:
/root/pytorch/caffe2/operators/layer_norm_op.cu:50:8: warning: ‘temp_storage_bytes’ may be used uninitialized in this function [-Wmaybe-uninitialized]
At global scope:
cc1plus: warning: unrecognized command line option ‘-Wno-stringop-overflow’
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/root/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvOp::DoRunWithType() [with T_X = float; T_W = float; T_B = float; T_Y = float]’:
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:839:16: required from here
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:527:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:527:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvOp::DoRunWithType() [with T_X = caffe2::__f16; T_W = caffe2::__f16; T_B = caffe2::__f16; T_Y = caffe2::__f16]’:
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:845:18: required from here
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:527:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:527:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvGradientOp::DoRunWithType() [with T_X = float; T_DY = float; T_W = float; T_B = float; T_DX = float; T_DW = float; T_DB = float]’:
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:1357:16: required from here
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:873:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:873:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc: In instantiation of ‘bool caffe2::CudnnConvGradientOp::DoRunWithType() [with T_X = caffe2::__f16; T_DY = caffe2::__f16; T_W = caffe2::__f16; T_B = caffe2::__f16; T_DX = caffe2::__f16; T_DW = caffe2::__f16; T_DB = caffe2::__f16]’:
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:1366:18: required from here
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:873:7: warning: variable ‘group_offset_X’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
/root/pytorch/caffe2/operators/conv_op_cudnn.cc:873:27: warning: variable ‘group_offset_Y’ set but not used [-Wunused-but-set-variable]
int group_offset_X = 0, group_offset_Y = 0;
^~~~~~~~~~~~~~
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool2d_stride
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool2d_stride/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_groups
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_groups/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_depthwise_padded
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_depthwise_padded/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PReLU_2d_multiparam
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PReLU_2d_multiparam/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Sigmoid
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Sigmoid/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softsign
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softsign/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_softmax_lastdim
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_softmax_lastdim/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_dilated
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_dilated/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PReLU_3d_multiparam
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PReLU_3d_multiparam/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool3d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool3d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool3d_stride
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool3d_stride/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_GLU
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_GLU/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_stride_padding
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_stride_padding/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ZeroPad2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ZeroPad2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_GLU_dim
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_GLU_dim/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_dilated
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_dilated/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softplus
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softplus/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PixelShuffle
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PixelShuffle/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ConvTranspose2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ConvTranspose2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ReplicationPad2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ReplicationPad2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_no_bias
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_no_bias/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool1d_stride
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool1d_stride/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm2d_eval
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm2d_eval/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_SELU
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_SELU/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_log_softmax_lastdim
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_log_softmax_lastdim/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_padding
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_padding/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool3d_stride1_pad0_gpu_input
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_AvgPool3d_stride1_pad0_gpu_input/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PReLU_1d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PReLU_1d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_stride
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_stride/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool1d_stride
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool1d_stride/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_LeakyReLU_with_negval
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_LeakyReLU_with_negval/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ConstantPad2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ConstantPad2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_dilated
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_dilated/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_pad2size1
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_pad2size1/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Tanh
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Tanh/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_groups
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_groups/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Linear_no_bias
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Linear_no_bias/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool1d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool1d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Embedding_sparse
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Embedding_sparse/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softmax
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softmax/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm3d_momentum_eval
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm3d_momentum_eval/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_pad1
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_pad1/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_groups
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_groups/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Embedding
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Embedding/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ELU
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ELU/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_depthwise_with_multiplier
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_depthwise_with_multiplier/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm2d_momentum_eval
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm2d_momentum_eval/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ReflectionPad2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_ReflectionPad2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool3d_stride_padding
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_MaxPool3d_stride_padding/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_stride
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d_stride/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_no_bias
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_no_bias/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv3d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softmin
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Softmin/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_pad2
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv1d_pad2/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_strided
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_Conv2d_strided/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_softmax_functional_dim3
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_softmax_functional_dim3/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm3d_eval
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_BatchNorm3d_eval/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PoissonNLLLLoss_no_reduce
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/pytorch-converted/test_PoissonNLLLLoss_no_reduce/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_equal_parts_2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_equal_parts_2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_example
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_log_sum_exp_do_not_keepdims_example/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_logsoftmax_example_1
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_logsoftmax_example_1/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_less
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_less/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_l1_do_not_keepdims_example
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_l1_do_not_keepdims_example/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_equal_parts_default_axis
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_equal_parts_default_axis/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_variable_parts_1d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_variable_parts_1d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_clip_default_min
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_clip_default_min/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_add
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_add/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_variable_parts_2d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_variable_parts_2d/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_maxpool_2d_precomputed_strides
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_maxpool_2d_precomputed_strides/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_prod_keepdims_example
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_prod_keepdims_example/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_log_sum
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_log_sum/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_equal
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_equal/test_data_set_0
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-- Up-to-date: /root/pytorch/torch/lib/tmp_install/lib/libonnx.a
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-- Installing: /root/pytorch/torch/lib/tmp_install/lib/python3.7/site-packages/caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.so
-- Set runtime path of "/root/pytorch/torch/lib/tmp_install/lib/python3.7/site-packages/caffe2/python/caffe2_pybind11_state.cpython-37m-x86_64-linux-gnu.so" to "$ORIGIN/../../torch/lib:/usr/local/cuda-9.2/lib64:/usr/local/lib"
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-- Set runtime path of "/root/pytorch/torch/lib/tmp_install/lib/python3.7/site-packages/caffe2/python/caffe2_pybind11_state_gpu.cpython-37m-x86_64-linux-gnu.so" to "$ORIGIN/../../torch/lib:/usr/local/cuda-9.2/lib64:/usr/local/lib:/root/usr/local/opencv/lib"
-- Up-to-date: /root/pytorch/torch/lib/tmp_install/lib/python3.7/site-packages/caffe2
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Support/Common.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Support/Pointer.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Support/Casting.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Graph
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Graph/Algorithms.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Graph/TarjansImpl.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Graph/Graph.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Graph/BinaryMatchImpl.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Converters
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Converters/Dot.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Representations
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Representations/NeuralNet.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Representations/Compiler.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Representations/ControlFlow.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Generated
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Generated/OpClasses.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Generated/OpEnum.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/include/nomnigraph/Generated/OpNames.h
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libcaffe2_detectron_ops_gpu.so
-- Set runtime path of "/root/pytorch/torch/lib/tmp_install/lib/libcaffe2_detectron_ops_gpu.so" to "/root/pytorch/torch/lib/tmp_install/lib:/usr/local/cuda-9.2/lib64:/usr/local/lib:/root/usr/local/opencv/lib"
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libcaffe2_observers.so
-- Set runtime path of "/root/pytorch/torch/lib/tmp_install/lib/libcaffe2_observers.so" to "/root/pytorch/torch/lib/tmp_install/lib:/usr/local/cuda-9.2/lib64:/usr/local/lib"
+ [[ 1 -ne 0 ]]
+ find . -name proto
./caffe2/proto
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/__init__.py /root/pytorch/caffe2/proto/
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/caffe2_legacy_pb2.py /root/pytorch/caffe2/proto/
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/caffe2_pb2.py /root/pytorch/caffe2/proto/
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/hsm_pb2.py /root/pytorch/caffe2/proto/
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/metanet_pb2.py /root/pytorch/caffe2/proto/
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/predictor_consts_pb2.py /root/pytorch/caffe2/proto/
+ for proto_file in ./caffe2/proto/*.py
+ cp ./caffe2/proto/prof_dag_pb2.py /root/pytorch/caffe2/proto/
+ popd
~/pytorch ~/pytorch
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch
+ for arg in "$@"
+ [[ nanopb == \n\c\c\l ]]
+ [[ nanopb == \g\l\o\o ]]
+ [[ nanopb == \c\a\f\f\e\2 ]]
+ [[ nanopb == \T\H\D ]]
+ [[ nanopb == \l\i\b\s\h\m ]]
+ [[ nanopb == \l\i\b\s\h\m\_\w\i\n\d\o\w\s ]]
+ [[ nanopb == \c\1\0\d ]]
+ pushd /root/pytorch/third_party
~/pytorch/third_party ~/pytorch
+ build nanopb
+ mkdir -p build/nanopb
+ pushd build/nanopb
~/pytorch/third_party/build/nanopb ~/pytorch/third_party ~/pytorch
+ BUILD_C_FLAGS=
+ case $1 in
+ BUILD_C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fPIC -fexceptions'
+ cmake ../../nanopb -DCMAKE_MODULE_PATH=/root/pytorch/cmake/Modules_CUDA_fix -DTorch_FOUND=1 -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch/lib/tmp_install '-DCMAKE_C_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fPIC -fexceptions ' '-DCMAKE_CXX_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fPIC -fexceptions -std=c++11 ' '-DCMAKE_EXE_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' '-DCMAKE_SHARED_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' -DCMAKE_INSTALL_LIBDIR=/root/pytorch/torch/lib/tmp_install/lib '-DCUDA_NVCC_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1' -DCUDA_DEVICE_DEBUG=0 -DCMAKE_PREFIX_PATH=/root/pytorch/torch/lib/tmp_install '-Dcwrap_files=/root/pytorch/torch/lib/ATen/Declarations.cwrap;/root/pytorch/torch/lib/THNN/generic/THNN.h;/root/pytorch/torch/lib/THCUNN/generic/THCUNN.h;/root/pytorch/torch/lib/ATen/nn.yaml' -DTH_INCLUDE_PATH=/root/pytorch/torch/lib/tmp_install/include -DTH_LIB_PATH=/root/pytorch/torch/lib/tmp_install/lib -DTH_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTH.so -DCAFFE2_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libcaffe2.so -DTHNN_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHNN.so -DTHCUNN_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHCUNN.so -DTHS_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHS.so -DTHC_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHC.so -DTHCS_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHCS.so -DTH_SO_VERSION=1 -DTHC_SO_VERSION=1 -DTHNN_SO_VERSION=1 -DTHCUNN_SO_VERSION=1 -DTHD_SO_VERSION=1 -DUSE_CUDA=1 -DNO_NNPACK=0 -DNCCL_EXTERNAL=1 -Dnanopb_BUILD_GENERATOR=0 -DCMAKE_DEBUG_POSTFIX= -DCMAKE_BUILD_TYPE=Release -DCMAKE_EXPORT_COMPILE_COMMANDS=1
-- The C compiler identification is GNU 6.4.0
-- Check for working C compiler: /usr/bin/gcc-6
-- Check for working C compiler: /usr/bin/gcc-6 -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:
CAFFE2_LIBRARIES
CMAKE_CXX_FLAGS
CMAKE_DEBUG_POSTFIX
CUDA_DEVICE_DEBUG
CUDA_NVCC_FLAGS
NCCL_EXTERNAL
NO_NNPACK
THCS_LIBRARIES
THCUNN_LIBRARIES
THCUNN_SO_VERSION
THC_LIBRARIES
THC_SO_VERSION
THD_SO_VERSION
THNN_LIBRARIES
THNN_SO_VERSION
THS_LIBRARIES
TH_INCLUDE_PATH
TH_LIBRARIES
TH_LIB_PATH
TH_SO_VERSION
Torch_FOUND
USE_CUDA
cwrap_files
-- Build files have been written to: /root/pytorch/third_party/build/nanopb
+ make install -j12
Scanning dependencies of target protobuf-nanopb
[ 75%] Building C object CMakeFiles/protobuf-nanopb.dir/pb_encode.c.o
[ 75%] Building C object CMakeFiles/protobuf-nanopb.dir/pb_common.c.o
[ 75%] Building C object CMakeFiles/protobuf-nanopb.dir/pb_decode.c.o
[100%] Linking C static library libprotobuf-nanopb.a
[100%] Built target protobuf-nanopb
Install the project...
-- Install configuration: "Release"
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libprotobuf-nanopb.a
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-targets.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-targets-release.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-config.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-config-version.cmake
-- Up-to-date: /root/pytorch/torch/lib/tmp_install/include/pb.h
-- Up-to-date: /root/pytorch/torch/lib/tmp_install/include/pb_common.h
-- Up-to-date: /root/pytorch/torch/lib/tmp_install/include/pb_encode.h
-- Up-to-date: /root/pytorch/torch/lib/tmp_install/include/pb_decode.h
+ popd
~/pytorch/third_party ~/pytorch
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch
+ for arg in "$@"
+ [[ libshm == \n\c\c\l ]]
+ [[ libshm == \g\l\o\o ]]
+ [[ libshm == \c\a\f\f\e\2 ]]
+ [[ libshm == \T\H\D ]]
+ [[ libshm == \l\i\b\s\h\m ]]
+ pushd /root/pytorch/torch/lib
~/pytorch/torch/lib ~/pytorch
+ build libshm
+ mkdir -p build/libshm
+ pushd build/libshm
~/pytorch/torch/lib/build/libshm ~/pytorch/torch/lib ~/pytorch
+ BUILD_C_FLAGS=
+ case $1 in
+ BUILD_C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions'
+ cmake ../../libshm -DCMAKE_MODULE_PATH=/root/pytorch/cmake/Modules_CUDA_fix -DTorch_FOUND=1 -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch/lib/tmp_install '-DCMAKE_C_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions ' '-DCMAKE_CXX_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions -std=c++11 ' '-DCMAKE_EXE_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' '-DCMAKE_SHARED_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' -DCMAKE_INSTALL_LIBDIR=/root/pytorch/torch/lib/tmp_install/lib '-DCUDA_NVCC_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1' -DCUDA_DEVICE_DEBUG=0 -DCMAKE_PREFIX_PATH=/root/pytorch/torch/lib/tmp_install '-Dcwrap_files=/root/pytorch/torch/lib/ATen/Declarations.cwrap;/root/pytorch/torch/lib/THNN/generic/THNN.h;/root/pytorch/torch/lib/THCUNN/generic/THCUNN.h;/root/pytorch/torch/lib/ATen/nn.yaml' -DTH_INCLUDE_PATH=/root/pytorch/torch/lib/tmp_install/include -DTH_LIB_PATH=/root/pytorch/torch/lib/tmp_install/lib -DTH_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTH.so -DCAFFE2_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libcaffe2.so -DTHNN_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHNN.so -DTHCUNN_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHCUNN.so -DTHS_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHS.so -DTHC_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHC.so -DTHCS_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHCS.so -DTH_SO_VERSION=1 -DTHC_SO_VERSION=1 -DTHNN_SO_VERSION=1 -DTHCUNN_SO_VERSION=1 -DTHD_SO_VERSION=1 -DUSE_CUDA=1 -DNO_NNPACK=0 -DNCCL_EXTERNAL=1 -Dnanopb_BUILD_GENERATOR=0 -DCMAKE_DEBUG_POSTFIX= -DCMAKE_BUILD_TYPE=Release -DCMAKE_EXPORT_COMPILE_COMMANDS=1
-- The C compiler identification is GNU 6.4.0
-- The CXX compiler identification is GNU 6.4.0
-- Check for working C compiler: /usr/bin/gcc-6
-- Check for working C compiler: /usr/bin/gcc-6 -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Check for working CXX compiler: /usr/bin/g++-6
-- Check for working CXX compiler: /usr/bin/g++-6 -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
CMake Warning (dev) at /root/pytorch/torch/lib/tmp_install/share/cmake/Caffe2/Caffe2Config.cmake:21 (if):
if given arguments:
"ON"
An argument named "ON" appears in a conditional statement. Policy CMP0012
is not set: if() recognizes numbers and boolean constants. Run "cmake
--help-policy CMP0012" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
Call Stack (most recent call first):
CMakeLists.txt:7 (FIND_PACKAGE)
This warning is for project developers. Use -Wno-dev to suppress it.
CMake Warning (dev) at /root/pytorch/torch/lib/tmp_install/share/cmake/Caffe2/Caffe2Config.cmake:35 (if):
if given arguments:
"ON"
An argument named "ON" appears in a conditional statement. Policy CMP0012
is not set: if() recognizes numbers and boolean constants. Run "cmake
--help-policy CMP0012" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
Call Stack (most recent call first):
CMakeLists.txt:7 (FIND_PACKAGE)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Caffe2: Found protobuf with new-style protobuf targets.
-- Caffe2: Protobuf version 3.5.0
-- Found CUDA: /usr/local/cuda (found suitable version "9.2", minimum required is "7.0")
-- Caffe2: CUDA detected: 9.2
-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda
-- Caffe2: Header version is: 9.2
-- Found CUDNN: /usr/include/
-- Found cuDNN: v7.2.1 (include: /usr/include/, library: /usr/lib/x86_64-linux-gnu/libcudnn.so.7)
-- Autodetected CUDA architecture(s): 6.1
-- Added CUDA NVCC flags for: -gencode;arch=compute_61,code=sm_61
CMake Warning (dev) at /root/pytorch/torch/lib/tmp_install/share/cmake/Caffe2/Caffe2Config.cmake:86 (if):
if given arguments:
"ON" "AND" "NOT" "CAFFE2_USE_CUDNN"
An argument named "ON" appears in a conditional statement. Policy CMP0012
is not set: if() recognizes numbers and boolean constants. Run "cmake
--help-policy CMP0012" for policy details. Use the cmake_policy command to
set the policy and suppress this warning.
Call Stack (most recent call first):
CMakeLists.txt:7 (FIND_PACKAGE)
This warning is for project developers. Use -Wno-dev to suppress it.
-- Looking for clock_gettime in rt
-- Looking for clock_gettime in rt - found
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:
CMAKE_DEBUG_POSTFIX
CMAKE_INSTALL_LIBDIR
NCCL_EXTERNAL
NO_NNPACK
THCS_LIBRARIES
THCUNN_LIBRARIES
THCUNN_SO_VERSION
THC_LIBRARIES
THC_SO_VERSION
THD_SO_VERSION
THNN_LIBRARIES
THNN_SO_VERSION
THS_LIBRARIES
TH_INCLUDE_PATH
TH_LIBRARIES
TH_LIB_PATH
TH_SO_VERSION
Torch_FOUND
USE_CUDA
cwrap_files
nanopb_BUILD_GENERATOR
-- Build files have been written to: /root/pytorch/torch/lib/build/libshm
+ make install -j12
Scanning dependencies of target shm
Scanning dependencies of target torch_shm_manager
[ 50%] Building CXX object CMakeFiles/torch_shm_manager.dir/manager.cpp.o
[ 50%] Building CXX object CMakeFiles/shm.dir/core.cpp.o
[ 75%] Linking CXX executable torch_shm_manager
[100%] Linking CXX shared library libshm.so
CMakeFiles/torch_shm_manager.dir/manager.cpp.o: In function `main':
manager.cpp:(.text.startup+0x35): warning: the use of `tmpnam' is dangerous, better use `mkstemp'
[100%] Built target torch_shm_manager
[100%] Built target shm
Install the project...
-- Install configuration: "Release"
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libshm.so
-- Set runtime path of "/root/pytorch/torch/lib/tmp_install/lib/libshm.so" to ""
-- Installing: /root/pytorch/torch/lib/tmp_install/include/libshm.h
-- Installing: /root/pytorch/torch/lib/tmp_install/bin/torch_shm_manager
+ popd
~/pytorch/torch/lib ~/pytorch
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch
+ for arg in "$@"
+ [[ gloo == \n\c\c\l ]]
+ [[ gloo == \g\l\o\o ]]
+ pushd /root/pytorch/third_party
~/pytorch/third_party ~/pytorch
+ build gloo -DUSE_CUDA=1 -DNCCL_ROOT_DIR=/usr/
+ mkdir -p build/gloo
+ pushd build/gloo
~/pytorch/third_party/build/gloo ~/pytorch/third_party ~/pytorch
+ BUILD_C_FLAGS=
+ case $1 in
+ BUILD_C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions'
+ cmake ../../gloo -DCMAKE_MODULE_PATH=/root/pytorch/cmake/Modules_CUDA_fix -DTorch_FOUND=1 -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch/lib/tmp_install '-DCMAKE_C_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions ' '-DCMAKE_CXX_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions -std=c++11 ' '-DCMAKE_EXE_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' '-DCMAKE_SHARED_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib" -Wl,-rpath,$ORIGIN ' -DCMAKE_INSTALL_LIBDIR=/root/pytorch/torch/lib/tmp_install/lib '-DCUDA_NVCC_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include" -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC" -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS" -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1' -DCUDA_DEVICE_DEBUG=0 -DCMAKE_PREFIX_PATH=/root/pytorch/torch/lib/tmp_install '-Dcwrap_files=/root/pytorch/torch/lib/ATen/Declarations.cwrap;/root/pytorch/torch/lib/THNN/generic/THNN.h;/root/pytorch/torch/lib/THCUNN/generic/THCUNN.h;/root/pytorch/torch/lib/ATen/nn.yaml' -DTH_INCLUDE_PATH=/root/pytorch/torch/lib/tmp_install/include -DTH_LIB_PATH=/root/pytorch/torch/lib/tmp_install/lib -DTH_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTH.so -DCAFFE2_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libcaffe2.so -DTHNN_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHNN.so -DTHCUNN_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHCUNN.so -DTHS_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHS.so -DTHC_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHC.so -DTHCS_LIBRARIES=/root/pytorch/torch/lib/tmp_install/lib/libTHCS.so -DTH_SO_VERSION=1 -DTHC_SO_VERSION=1 -DTHNN_SO_VERSION=1 -DTHCUNN_SO_VERSION=1 -DTHD_SO_VERSION=1 -DUSE_CUDA=1 -DNO_NNPACK=0 -DNCCL_EXTERNAL=1 -Dnanopb_BUILD_GENERATOR=0 -DCMAKE_DEBUG_POSTFIX= -DCMAKE_BUILD_TYPE=Release -DUSE_CUDA=1 -DNCCL_ROOT_DIR=/usr/ -DCMAKE_EXPORT_COMPILE_COMMANDS=1
-- The CXX compiler identification is GNU 6.4.0
-- The C compiler identification is GNU 6.4.0
-- Check for working CXX compiler: /usr/bin/g++-6
-- Check for working CXX compiler: /usr/bin/g++-6 -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Check for working C compiler: /usr/bin/gcc-6
-- Check for working C compiler: /usr/bin/gcc-6 -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Detecting C compile features
-- Detecting C compile features - done
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Looking for pthread_create
-- Looking for pthread_create - not found
-- Looking for pthread_create in pthreads
-- Looking for pthread_create in pthreads - not found
-- Looking for pthread_create in pthread
-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Found CUDA: /usr/local/cuda (found suitable version "9.2", minimum required is "7.0")
-- CUDA detected: 9.2
-- Added CUDA NVCC flags for: sm_30 sm_35 sm_50 sm_52 sm_60 sm_61 sm_70
-- Found libcuda: /usr/lib/x86_64-linux-gnu/libcuda.so
-- Found libnvrtc: /usr/local/cuda/lib64/libnvrtc.so
-- Configuring done
-- Generating done
CMake Warning:
Manually-specified variables were not used by the project:
CAFFE2_LIBRARIES
CMAKE_DEBUG_POSTFIX
CMAKE_INSTALL_LIBDIR
CUDA_DEVICE_DEBUG
NCCL_EXTERNAL
NCCL_ROOT_DIR
NO_NNPACK
THCS_LIBRARIES
THCUNN_LIBRARIES
THCUNN_SO_VERSION
THC_LIBRARIES
THC_SO_VERSION
THD_SO_VERSION
THNN_LIBRARIES
THNN_SO_VERSION
THS_LIBRARIES
TH_INCLUDE_PATH
TH_LIBRARIES
TH_LIB_PATH
TH_SO_VERSION
Torch_FOUND
cwrap_files
nanopb_BUILD_GENERATOR
-- Build files have been written to: /root/pytorch/third_party/build/gloo
+ make install -j12
Scanning dependencies of target gloo
[ 3%] Building CXX object gloo/CMakeFiles/gloo.dir/rendezvous/context.cc.o
[ 6%] Building CXX object gloo/CMakeFiles/gloo.dir/context.cc.o
[ 10%] Building CXX object gloo/CMakeFiles/gloo.dir/algorithm.cc.o
[ 13%] Building CXX object gloo/CMakeFiles/gloo.dir/allreduce_local.cc.o
[ 16%] Building CXX object gloo/CMakeFiles/gloo.dir/common/logging.cc.o
[ 20%] Building CXX object gloo/CMakeFiles/gloo.dir/rendezvous/prefix_store.cc.o
[ 26%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/buffer.cc.o
[ 26%] Building CXX object gloo/CMakeFiles/gloo.dir/common/linux.cc.o
[ 30%] Building CXX object gloo/CMakeFiles/gloo.dir/rendezvous/store.cc.o
[ 33%] Building CXX object gloo/CMakeFiles/gloo.dir/rendezvous/hash_store.cc.o
[ 36%] Building CXX object gloo/CMakeFiles/gloo.dir/rendezvous/file_store.cc.o
[ 40%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/address.cc.o
[ 43%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/device.cc.o
[ 46%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/pair.cc.o
[ 50%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/address.cc.o
[ 53%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/buffer.cc.o
[ 56%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/device.cc.o
[ 60%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/pair.cc.o
[ 63%] Linking CXX static library libgloo.a
[ 63%] Built target gloo
[ 66%] Building NVCC (Device) object gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda_private.cu.o
[ 70%] Building NVCC (Device) object gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda.cu.o
/root/pytorch/third_party/gloo/gloo/cuda_private.h: In destructor ‘gloo::CudaDeviceGuard::~CudaDeviceGuard()’:
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaSetDevice(previous_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda_private.cu: In instantiation of ‘gloo::CudaMemory<T>::~CudaMemory() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:113:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(ptr_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda_private.cu: In instantiation of ‘gloo::CudaMemory<T>::~CudaMemory() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:114:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: warning: throw will always call terminate() [-Wterminate]
/root/pytorch/third_party/gloo/gloo/cuda_private.cu:87:415: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda_private.h: In destructor ‘gloo::CudaDeviceGuard::~CudaDeviceGuard()’:
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaSetDevice(previous_));
^
/root/pytorch/third_party/gloo/gloo/cuda_private.h:98:423: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In destructor ‘gloo::CudaStream::~CudaStream()’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:78:413: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaEventSynchronize(event_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:78:413: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu:79:409: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaEventDestroy(event_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:79:409: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu:82:411: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaStreamDestroy(stream_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:82:411: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = signed char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:292:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = signed char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:292:64: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = unsigned char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:293:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = unsigned char]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:293:66: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:294:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:294:63: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = long int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:295:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = long int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:295:64: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = long unsigned int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:296:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = long unsigned int]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:296:66: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:297:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = gloo::float16]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:297:60: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:298:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = float]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:298:58: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaDevicePointer<T>::~CudaDevicePointer() [with T = double]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:299:16: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFree(device_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:221:404: note: in C++11 destructors default to noexcept
/root/pytorch/third_party/gloo/gloo/cuda.cu: In instantiation of ‘gloo::CudaHostPointer<T>::~CudaHostPointer() [with T = double]’:
/root/pytorch/third_party/gloo/gloo/cuda.cu:299:59: required from here
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: warning: throw will always call terminate() [-Wterminate]
CUDA_CHECK(cudaFreeHost(host_));
^
/root/pytorch/third_party/gloo/gloo/cuda.cu:267:406: note: in C++11 destructors default to noexcept
Scanning dependencies of target gloo_cuda
[ 80%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring.cc.o
[ 80%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_local.cc.o
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In file included from /root/pytorch/third_party/gloo/gloo/cuda.h:21:0,
from /root/pytorch/third_party/gloo/gloo/cuda_broadcast_one_to_all.h:13,
from /root/pytorch/third_party/gloo/gloo/cuda_broadcast_one_to_all.cc:10:
/root/pytorch/third_party/gloo/gloo/cuda_private.h: In destructor ‘gloo::CudaDeviceGuard::~CudaDeviceGuard()’:
/root/pytorch/third_party/gloo/gloo/common/logging.h:142:58: warning: throw will always call terminate() [-Wterminate]
r.get_message_and_free(