caffe2とpytorchを、ubuntu16.04, cuda9.0, python 3.6.5のシステムに同時インストールしようとしたら、以下のようなエラーが出たので、その解決法を載せておく。

cd /root/pytorch

/root/pytorch

!git pull

Already up-to-date.

!FULL_CAFFE2=1 python setup.py install

Building wheel torch-0.5.0a0+6993e4a
running install
running build_deps
+ USE_CUDA=0
+ USE_ROCM=0
+ USE_NNPACK=0
+ USE_MKLDNN=0
+ USE_GLOO_IBVERBS=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 "$1" in
+ break
+ CMAKE_INSTALL='make install'
+ BUILD_SHARED_LIBS=ON
+ USER_CFLAGS=
+ USER_LDFLAGS=
+ [[ -n '' ]]
+ [[ -n '' ]]
+ [[ -n '' ]]
++ uname
+ '[' Linux == Darwin ']'
+++ dirname ../tools/build_pytorch_libs.sh
++ cd ../tools/..
+++ pwd
++ printf '%q\n' /root/pytorch
+ BASE_DIR=/root/pytorch
+ TORCH_LIB_DIR=/root/pytorch/torch/lib
+ INSTALL_DIR=/root/pytorch/torch/lib/tmp_install
+ THIRD_PARTY_DIR=/root/pytorch/third_party
+ CMAKE_VERSION=cmake
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN"'
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1'
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib" '
+ LD_POSTFIX=.so
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ [[ 0 -eq 1 ]]
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib"  -Wl,-rpath,$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 ]]
+ 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 '' ']'
++ getconf _NPROCESSORS_ONLN
+ MAX_JOBS=12
+ BUILD_TYPE=Release
+ [[ -n '' ]]
+ [[ -n '' ]]
+ echo 'Building in Release mode'
Building in Release mode
+ mkdir -p /root/pytorch/torch/lib/tmp_install
+ for arg in '"$@"'
+ [[ caffe2 == \n\c\c\l ]]
+ [[ caffe2 == \g\l\o\o ]]
+ [[ caffe2 == \c\a\f\f\e\2 ]]
+ build_caffe2
+ [[ -z '' ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS=()
+ [[ -n '' ]]
+ [[ -n /root/.pyenv/versions/py365/lib/python3.6/site-packages ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH")
+ cmake /root/pytorch -DPYTHON_EXECUTABLE=/root/.pyenv/versions/py365/bin/python -DBUILDING_WITH_TORCH_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DBUILD_CAFFE2=1 -DBUILD_TORCH=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/py365/lib/python3.6/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
-- Found PythonInterp: /root/.pyenv/versions/py365/bin/python (found version "3.6.5") 
-- 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-9.0 (found suitable exact version "9.0") 
-- OpenCV found (/root/usr/local/opencv/share/OpenCV)
-- Found system Eigen at /usr/local/include/eigen3
Python 3.6.5
-- Found PythonInterp: /root/.pyenv/versions/py365/bin/python (found suitable version "3.6.5", minimum required is "2.7") 
-- NumPy ver. 1.14.4 found (include: /root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include)
-- Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR) 
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.0/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.0
-- Caffe2: Header version is: 9.0
-- 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) 
-- CUDA detected: 9.0
-- Found libcuda: /usr/lib/x86_64-linux-gnu/libcuda.so
-- Found libnvrtc: /usr/local/cuda-9.0/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)
-- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor
-- Removing -DNDEBUG from compile flags
-- 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.
-- SSE2 Found
-- SSE3 Found
-- AVX Found
-- AVX2 Found
-- Atomics: using GCC intrinsics
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_sequential - mkl_core - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_sequential - mkl_core - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_sequential - mkl_core - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_gf - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_gf - mkl_intel_thread - mkl_core - iomp5 - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf_lp64 - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf_lp64: not found
-- Checking for [mkl_gf - mkl_gnu_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl_gf - mkl_intel_thread - mkl_core - pthread - m - dl]
--   Library mkl_gf: not found
-- Checking for [mkl - guide - pthread - m]
--   Library mkl: not found
-- MKL library not found
-- Checking for [openblas]
--   Library openblas: /usr/lib/libopenblas.so
-- Found a library with BLAS API (open).
-- Found a library with LAPACK API. (open)
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "5.5") 
disabling ROCM because NOT USE_ROCM is set
-- MIOpen not found. Compiling without MIOpen support
-- Could NOT find MKLDNN (missing: MKLDNN_INCLUDE_DIR MKLDNN_LIBRARY) 
-- MKLDNN not found. Compiling without MKLDNN support
-- GCC 5.4.0: Adding gcc and gcc_s libs to link line
-- Using python found in /root/.pyenv/versions/py365/bin/python
-- Found OpenMP_C: -fopenmp  
-- Found OpenMP_CXX: -fopenmp  
-- Found OpenMP: TRUE   
-- 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/cc
-- 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 : LIB_MPFR-NOTFOUND
-- GMP : /usr/lib/x86_64-linux-gnu/libgmp.so
-- RUNNING_ON_TRAVIS : 0
-- COMPILER_SUPPORTS_OPENMP : 1
-- Using python found in /root/.pyenv/versions/py365/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/python3.6/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:346 (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         : 3.12.1
--   CMake command         : /usr/local/bin/cmake
--   Git version           : v0.1.11-10007-g6993e4a-dirty
--   System                : Linux
--   C++ compiler          : /usr/bin/c++
--   C++ compiler version  : 5.4.0
--   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;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/py365/lib/python3.6/site-packages
--   CMAKE_INSTALL_PREFIX  : /root/pytorch/torch/lib/tmp_install
-- 
--   BUILD_CAFFE2          : 1
--   BUILD_ATEN_MOBILE     : OFF
--   BUILD_BINARY          : OFF
--   BUILD_CUSTOM_PROTOBUF : ON
--     Link local protobuf : ON
--   BUILD_DOCS            : OFF
--   BUILD_PYTHON          : 1
--     Python version      : 3.6.5
--     Python executable   : /root/.pyenv/versions/py365/bin/python
--     Pythonlibs version  : 3.6.5
--     Python library      : /root/.pyenv/versions/3.6.5/lib/libpython3.6m.so
--     Python includes     : /root/.pyenv/versions/3.6.5/include/python3.6m
--     Python site-packages: lib/python3.6/site-packages
--   BUILD_SHARED_LIBS     : ON
--   BUILD_TEST            : OFF
--   USE_ASAN              : OFF
--   USE_CUDA              : 1
--     CUDA static link    : 
--     USE_CUDNN           : ON
--     CUDA version        : 9.0
--     cuDNN version       : 7.2.1
--     CUDA root directory : /usr/local/cuda-9.0
--     CUDA library        : /usr/lib/x86_64-linux-gnu/libcuda.so
--     cudart library      : /usr/local/cuda-9.0/lib64/libcudart_static.a;-pthread;dl;/usr/lib/x86_64-linux-gnu/librt.so
--     cublas library      : /usr/local/cuda-9.0/lib64/libcublas.so;/usr/local/cuda-9.0/lib64/libcublas_device.a
--     cufft library       : /usr/local/cuda-9.0/lib64/libcufft.so
--     curand library      : /usr/local/cuda-9.0/lib64/libcurand.so
--     cuDNN library       : /usr/lib/x86_64-linux-gnu/libcudnn.so.7
--     nvrtc               : /usr/local/cuda-9.0/lib64/libnvrtc.so
--     CUDA include path   : /usr/local/cuda-9.0/include
--     NVCC executable     : /usr/local/cuda-9.0/bin/nvcc
--     CUDA host compiler  : /usr/bin/cc
--     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      : 1.1.3
--   USE_LITE_PROTO        : OFF
--   USE_LMDB              : ON
--     LMDB version        : 0.9.17
--   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
-- Build files have been written to: /root/pytorch/build
+ make install -j12
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Scanning dependencies of target sleeffma4
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[ 14%] Building C object sleef/src/libm/CMakeFiles/sleefavx2.dir/sleefsimdsp.c.o
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Traceback (most recent call last):
  File "/root/.pyenv/versions/3.6.5/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/root/.pyenv/versions/3.6.5/lib/python3.6/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 280, in <module>
    main()
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 267, in main
    execute_script(writers, options.input[0])
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 198, in execute_script
    execute_script(writers, source_filename)
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 198, in execute_script
    execute_script(writers, source_filename)
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 202, in execute_script
    exec(code, globals())
  File "/root/pytorch/third_party/NNPACK/src/x86_64-fma/2d-fourier-8x8.py", line 5, in <module>
    import fft.complex_soa
  File "/root/pytorch/third_party/NNPACK/src/x86_64-fma/fft/complex_soa.py", line 7, in <module>
    from common import cos_npi_over_8, sin_npi_over_8, cos_npi_over_4, sin_npi_over_4
ImportError: cannot import name 'cos_npi_over_8'
confu-deps/NNPACK/CMakeFiles/nnpack.dir/build.make:61: recipe for target 'confu-deps/NNPACK/src/x86_64-fma/2d-fourier-8x8.py.o' failed
make[2]: *** [confu-deps/NNPACK/src/x86_64-fma/2d-fourier-8x8.py.o] Error 1
CMakeFiles/Makefile2:349: recipe for target 'confu-deps/NNPACK/CMakeFiles/nnpack.dir/all' failed
make¹: *** [confu-deps/NNPACK/CMakeFiles/nnpack.dir/all] Error 2
make²: *** Waiting for unfinished jobs....
[ 22%] Building C object sleef/src/libm/CMakeFiles/sleefsse4.dir/sleefsimddp.c.o
[ 22%] Building C object sleef/src/libm/CMakeFiles/sleeffma4.dir/sleefsimddp.c.o
[ 22%] Built target sleefavx2128
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[ 22%] Built target python_copy_files
[ 22%] Built target sleeffma4
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 miopen_convolution_backward Because of Arg: std::array<bool,3> (std::array<bool,3>) 
Skipping miopen_convolution_transpose_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 native_sparse_coo_tensor Because of Arg: const Type & (Type) 
Skipping sparse_coo_tensor Because of Arg: const Type & (Type) 
Skipping _sparse_mask Because of Arg: SparseTensorRef (SparseTensorRef) 
[ 22%] Built target __aten_op_header_gen
Scanning dependencies of target gloo_cuda
[ 22%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_halving_doubling.cc.o
[ 22%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_local.cc.o
[ 22%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_bcube.cc.o
[ 22%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_broadcast_one_to_all.cc.o
[ 22%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring.cc.o
[ 23%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring_chunked.cc.o
[ 23%] Linking CXX static library ../../../lib/libgloo_cuda.a
[ 23%] Built target gloo_cuda
Makefile:140: recipe for target 'all' failed
make: *** [all] Error 2
Failed to run 'bash ../tools/build_pytorch_libs.sh --use-cuda --use-nnpack --full-caffe2 caffe2 nanopb libshm gloo THD c10d'

このサイトに以下のようにすればエラーが解決するようなことが書いてあったので、先ずはその解決方法を実践してみることにした。

!pip3 install --upgrade git+https://github.com/Maratyszcza/confu

Collecting git+https://github.com/Maratyszcza/confu
  Cloning https://github.com/Maratyszcza/confu to /tmp/pip-req-build-aldd_oh7
Requirement already satisfied, skipping upgrade: six in /root/.pyenv/versions/3.6.5/envs/py365/lib/python3.6/site-packages (from confu==0.0.1) (1.11.0)
Requirement already satisfied, skipping upgrade: PyYAML in /root/.pyenv/versions/3.6.5/envs/py365/lib/python3.6/site-packages (from confu==0.0.1) (3.12)
Collecting ninja_syntax>=1.7.2 (from confu==0.0.1)
  Downloading https://files.pythonhosted.org/packages/4b/c3/303da27e7d72aeae5d1879d592048fcd5e8c0c333505b76dda136ab342c0/ninja_syntax-1.7.2.tar.gz
Building wheels for collected packages: confu, ninja-syntax
  Running setup.py bdist_wheel for confu ... done
  Stored in directory: /tmp/pip-ephem-wheel-cache-3mkotq6f/wheels/bd/d8/19/29e4e955cd80d8f4b2e01afed8a0d81012288b145446c12db5
  Running setup.py bdist_wheel for ninja-syntax ... done
  Stored in directory: /root/.cache/pip/wheels/c1/96/38/b35a796a4a603bf4f4c9aa2e05feba5d40a4022cbb03ca262c
Successfully built confu ninja-syntax
Installing collected packages: ninja-syntax, confu
Successfully installed confu-0.0.1 ninja-syntax-1.7.2

!pip3 install --upgrade git+https://github.com/Maratyszcza/PeachPy

Collecting git+https://github.com/Maratyszcza/PeachPy
  Cloning https://github.com/Maratyszcza/PeachPy to /tmp/pip-req-build-4788hchx
Requirement already satisfied, skipping upgrade: six in /root/.pyenv/versions/3.6.5/envs/py365/lib/python3.6/site-packages (from PeachPy==0.2.0) (1.11.0)
Collecting enum34 (from PeachPy==0.2.0)
  Downloading https://files.pythonhosted.org/packages/af/42/cb9355df32c69b553e72a2e28daee25d1611d2c0d9c272aa1d34204205b2/enum34-1.1.6-py3-none-any.whl
Building wheels for collected packages: PeachPy
  Running setup.py bdist_wheel for PeachPy ... done
  Stored in directory: /tmp/pip-ephem-wheel-cache-1qe3vfg7/wheels/2c/0a/07/60382d9a019eaa87ff92878a74ef8277d20e3d0a9aacb52e88
Successfully built PeachPy
Installing collected packages: enum34, PeachPy
Successfully installed PeachPy-0.2.0 enum34-1.1.6

!FULL_CAFFE2=1 python setup.py install

Building wheel torch-0.5.0a0+6993e4a
running install
running build_deps
+ USE_CUDA=0
+ USE_ROCM=0
+ USE_NNPACK=0
+ USE_MKLDNN=0
+ USE_GLOO_IBVERBS=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 "$1" in
+ break
+ CMAKE_INSTALL='make install'
+ BUILD_SHARED_LIBS=ON
+ USER_CFLAGS=
+ USER_LDFLAGS=
+ [[ -n '' ]]
+ [[ -n '' ]]
+ [[ -n '' ]]
++ uname
+ '[' Linux == Darwin ']'
+++ dirname ../tools/build_pytorch_libs.sh
++ cd ../tools/..
+++ pwd
++ printf '%q\n' /root/pytorch
+ BASE_DIR=/root/pytorch
+ TORCH_LIB_DIR=/root/pytorch/torch/lib
+ INSTALL_DIR=/root/pytorch/torch/lib/tmp_install
+ THIRD_PARTY_DIR=/root/pytorch/third_party
+ CMAKE_VERSION=cmake
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN"'
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1'
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib" '
+ LD_POSTFIX=.so
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ [[ 0 -eq 1 ]]
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib"  -Wl,-rpath,$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 ]]
+ 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 '' ']'
++ getconf _NPROCESSORS_ONLN
+ MAX_JOBS=12
+ BUILD_TYPE=Release
+ [[ -n '' ]]
+ [[ -n '' ]]
+ echo 'Building in Release mode'
Building in Release mode
+ mkdir -p /root/pytorch/torch/lib/tmp_install
+ for arg in '"$@"'
+ [[ caffe2 == \n\c\c\l ]]
+ [[ caffe2 == \g\l\o\o ]]
+ [[ caffe2 == \c\a\f\f\e\2 ]]
+ build_caffe2
+ [[ -z '' ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS=()
+ [[ -n '' ]]
+ [[ -n /root/.pyenv/versions/py365/lib/python3.6/site-packages ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH")
+ cmake /root/pytorch -DPYTHON_EXECUTABLE=/root/.pyenv/versions/py365/bin/python -DBUILDING_WITH_TORCH_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DBUILD_CAFFE2=1 -DBUILD_TORCH=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/py365/lib/python3.6/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
-- Found PythonInterp: /root/.pyenv/versions/py365/bin/python (found version "3.6.5") 
-- 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-9.0 (found suitable exact version "9.0") 
-- OpenCV found (/root/usr/local/opencv/share/OpenCV)
-- Found system Eigen at /usr/local/include/eigen3
Python 3.6.5
-- Found PythonInterp: /root/.pyenv/versions/py365/bin/python (found suitable version "3.6.5", minimum required is "2.7") 
-- NumPy ver. 1.14.4 found (include: /root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include)
-- Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR) 
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.0/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.0
-- Caffe2: Header version is: 9.0
-- 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) 
-- CUDA detected: 9.0
-- Found libcuda: /usr/lib/x86_64-linux-gnu/libcuda.so
-- Found libnvrtc: /usr/local/cuda-9.0/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)
-- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor
-- Removing -DNDEBUG from compile flags
-- 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.
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-- SSE2 Found
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-- AVX Found
-- AVX2 Found
-- Atomics: using GCC intrinsics
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-- Checking for [openblas]
--   Library openblas: /usr/lib/libopenblas.so
-- Found a library with BLAS API (open).
-- Found a library with LAPACK API. (open)
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "5.5") 
disabling ROCM because NOT USE_ROCM is set
-- MIOpen not found. Compiling without MIOpen support
-- Could NOT find MKLDNN (missing: MKLDNN_INCLUDE_DIR MKLDNN_LIBRARY) 
-- MKLDNN not found. Compiling without MKLDNN support
-- GCC 5.4.0: Adding gcc and gcc_s libs to link line
-- Using python found in /root/.pyenv/versions/py365/bin/python
-- 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/cc
-- 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 : LIB_MPFR-NOTFOUND
-- GMP : /usr/lib/x86_64-linux-gnu/libgmp.so
-- RUNNING_ON_TRAVIS : 0
-- COMPILER_SUPPORTS_OPENMP : 1
-- Using python found in /root/.pyenv/versions/py365/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/python3.6/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:346 (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         : 3.12.1
--   CMake command         : /usr/local/bin/cmake
--   Git version           : v0.1.11-10007-g6993e4a-dirty
--   System                : Linux
--   C++ compiler          : /usr/bin/c++
--   C++ compiler version  : 5.4.0
--   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;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/py365/lib/python3.6/site-packages
--   CMAKE_INSTALL_PREFIX  : /root/pytorch/torch/lib/tmp_install
-- 
--   BUILD_CAFFE2          : 1
--   BUILD_ATEN_MOBILE     : OFF
--   BUILD_BINARY          : OFF
--   BUILD_CUSTOM_PROTOBUF : ON
--     Link local protobuf : ON
--   BUILD_DOCS            : OFF
--   BUILD_PYTHON          : 1
--     Python version      : 3.6.5
--     Python executable   : /root/.pyenv/versions/py365/bin/python
--     Pythonlibs version  : 3.6.5
--     Python library      : /root/.pyenv/versions/3.6.5/lib/libpython3.6m.so
--     Python includes     : /root/.pyenv/versions/3.6.5/include/python3.6m
--     Python site-packages: lib/python3.6/site-packages
--   BUILD_SHARED_LIBS     : ON
--   BUILD_TEST            : OFF
--   USE_ASAN              : OFF
--   USE_CUDA              : 1
--     CUDA static link    : 
--     USE_CUDNN           : ON
--     CUDA version        : 9.0
--     cuDNN version       : 7.2.1
--     CUDA root directory : /usr/local/cuda-9.0
--     CUDA library        : /usr/lib/x86_64-linux-gnu/libcuda.so
--     cudart library      : /usr/local/cuda-9.0/lib64/libcudart_static.a;-pthread;dl;/usr/lib/x86_64-linux-gnu/librt.so
--     cublas library      : /usr/local/cuda-9.0/lib64/libcublas.so;/usr/local/cuda-9.0/lib64/libcublas_device.a
--     cufft library       : /usr/local/cuda-9.0/lib64/libcufft.so
--     curand library      : /usr/local/cuda-9.0/lib64/libcurand.so
--     cuDNN library       : /usr/lib/x86_64-linux-gnu/libcudnn.so.7
--     nvrtc               : /usr/local/cuda-9.0/lib64/libnvrtc.so
--     CUDA include path   : /usr/local/cuda-9.0/include
--     NVCC executable     : /usr/local/cuda-9.0/bin/nvcc
--     CUDA host compiler  : /usr/bin/cc
--     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      : 1.1.3
--   USE_LITE_PROTO        : OFF
--   USE_LMDB              : ON
--     LMDB version        : 0.9.17
--   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
-- Build files have been written to: /root/pytorch/build
+ make install -j12
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Traceback (most recent call last):
  File "/root/.pyenv/versions/3.6.5/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/root/.pyenv/versions/3.6.5/lib/python3.6/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 280, in <module>
    main()
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 267, in main
    execute_script(writers, options.input[0])
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 198, in execute_script
    execute_script(writers, source_filename)
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 198, in execute_script
    execute_script(writers, source_filename)
  File "/root/pytorch/third_party/python-peachpy/peachpy/x86_64/__main__.py", line 202, in execute_script
    exec(code, globals())
  File "/root/pytorch/third_party/NNPACK/src/x86_64-fma/2d-fourier-8x8.py", line 5, in <module>
    import fft.complex_soa
  File "/root/pytorch/third_party/NNPACK/src/x86_64-fma/fft/complex_soa.py", line 7, in <module>
    from common import cos_npi_over_8, sin_npi_over_8, cos_npi_over_4, sin_npi_over_4
ImportError: cannot import name 'cos_npi_over_8'
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confu-deps/NNPACK/CMakeFiles/nnpack.dir/build.make:61: recipe for target 'confu-deps/NNPACK/src/x86_64-fma/2d-fourier-8x8.py.o' failed
make[2]: *** [confu-deps/NNPACK/src/x86_64-fma/2d-fourier-8x8.py.o] Error 1
CMakeFiles/Makefile2:349: recipe for target 'confu-deps/NNPACK/CMakeFiles/nnpack.dir/all' failed
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Processing /root/pytorch/third_party/onnx/onnx/onnx.in.proto
Writing /root/pytorch/build/third_party/onnx/onnx/onnx_onnx_torch.proto
Writing /root/pytorch/build/third_party/onnx/onnx/onnx_onnx_torch.proto3
Writing /root/pytorch/build/third_party/onnx/onnx/onnx.pb.h
generating /root/pytorch/build/third_party/onnx/onnx/onnx_pb.py
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[ 24%] Building CXX object third_party/gloo/gloo/CMakeFiles/gloo_builder.dir/broadcast_builder.cc.o
[ 24%] Running C++/Python protocol buffer compiler on /root/pytorch/caffe2/proto/predictor_consts.proto
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Scanning dependencies of target Caffe2_PROTO
[ 24%] Building CXX object caffe2/proto/CMakeFiles/Caffe2_PROTO.dir/caffe2.pb.cc.o
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[ 24%] Built target gloo_builder
Makefile:140: recipe for target 'all' failed
make: *** [all] Error 2
Failed to run 'bash ../tools/build_pytorch_libs.sh --use-cuda --use-nnpack --full-caffe2 caffe2 nanopb libshm gloo THD c10d'

上記の方法では問題解決には至らなかったので、上述のサイトに書いてあったもうひとつの方法である-DUSE_NNPACK=OFFを試してみた。

!find / -name build_pytorch_libs.sh

/root/pytorch/tools/build_pytorch_libs.sh

USE_NNPACK=1を0に、ついでにUSE_GLOO_IBVERBS=1も0に変えておいた。

%%writefile /root/pytorch/tools/build_pytorch_libs.sh
#!/usr/bin/env bash

# Shell script used to build the aten/*, caffe2/*, and third_party/*
# dependencies prior to linking libraries and passing headers to the Python
# extension compilation stage. This file is used from setup.py, but can also be
# called standalone to compile the libraries outside of the overall PyTorch
# build process.
#
# TODO: Replace this with the root-level CMakeLists.txt

set -ex

# Options for building only a subset of the libraries
USE_CUDA=0
USE_ROCM=0
USE_NNPACK=0
USE_MKLDNN=0
USE_GLOO_IBVERBS=0
FULL_CAFFE2=0
while [[ $# -gt 0 ]]; do
    case "$1" in
      --use-cuda)
          USE_CUDA=1
          ;;
      --use-rocm)
          USE_ROCM=1
          ;;
      --use-nnpack)
          USE_NNPACK=0
          ;;
      --use-mkldnn)
          USE_MKLDNN=1
          ;;
      --use-gloo-ibverbs)
          USE_GLOO_IBVERBS=0
          ;;
      --full-caffe2)
          FULL_CAFFE2=1
          ;;
      --cuda-static-link)
          CAFFE2_STATIC_LINK_CUDA=1
          ;;
      *)
          break
          ;;
    esac
    shift
done

CMAKE_INSTALL=${CMAKE_INSTALL-make install}

BUILD_SHARED_LIBS=${BUILD_SHARED_LIBS-ON}

# Save user specified env vars, we will manually propagate them
# to cmake.  We copy distutils semantics, referring to
# cpython/Lib/distutils/sysconfig.py as the source of truth
USER_CFLAGS=""
USER_LDFLAGS=""
if [[ -n "$LDFLAGS" ]]; then
  USER_LDFLAGS="$USER_LDFLAGS $LDFLAGS"
fi
if [[ -n "$CFLAGS" ]]; then
  USER_CFLAGS="$USER_CFLAGS $CFLAGS"
  USER_LDFLAGS="$USER_LDFLAGS $CFLAGS"
fi
if [[ -n "$CPPFLAGS" ]]; then
  # Unlike distutils, NOT modifying CXX
  USER_C_CFLAGS="$USER_CFLAGS $CPPFLAGS"
  USER_LDFLAGS="$USER_LDFLAGS $CPPFLAGS"
fi

# Use ccache if available (this path is where Homebrew installs ccache symlinks)
if [ "$(uname)" == 'Darwin' ]; then
  if [ -d '/usr/local/opt/ccache/libexec' ]; then
    CCACHE_WRAPPER_PATH=/usr/local/opt/ccache/libexec
  fi
fi

BASE_DIR=$(cd $(dirname "$0")/.. && printf "%q\n" "$(pwd)")
TORCH_LIB_DIR="$BASE_DIR/torch/lib"
INSTALL_DIR="$TORCH_LIB_DIR/tmp_install"
THIRD_PARTY_DIR="$BASE_DIR/third_party"

CMAKE_VERSION=${CMAKE_VERSION:="cmake"}
C_FLAGS=" -I\"$INSTALL_DIR/include\" \
  -I\"$INSTALL_DIR/include/TH\" -I\"$INSTALL_DIR/include/THC\" \
  -I\"$INSTALL_DIR/include/THS\" -I\"$INSTALL_DIR/include/THCS\" \
  -I\"$INSTALL_DIR/include/THNN\" -I\"$INSTALL_DIR/include/THCUNN\""
# Workaround OpenMPI build failure
# ImportError: /build/pytorch-0.2.0/.pybuild/pythonX.Y_3.6/build/torch/_C.cpython-36m-x86_64-linux-gnu.so: undefined symbol: _ZN3MPI8Datatype4FreeEv
# https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=686926
C_FLAGS="${C_FLAGS} -DOMPI_SKIP_MPICXX=1"
LDFLAGS="-L\"$INSTALL_DIR/lib\" "
LD_POSTFIX=".so"
if [[ $(uname) == 'Darwin' ]]; then
    LDFLAGS="$LDFLAGS -Wl,-rpath,@loader_path"
    LD_POSTFIX=".dylib"
else
    if [[ $USE_ROCM -eq 1 ]]; then
        LDFLAGS="$LDFLAGS -Wl,-rpath,\\\\\\\$ORIGIN"
    else
        LDFLAGS="$LDFLAGS -Wl,-rpath,\$ORIGIN"
    fi
fi
CPP_FLAGS=" -std=c++11 "
GLOO_FLAGS=""
THD_FLAGS=""
NCCL_ROOT_DIR=${NCCL_ROOT_DIR:-$INSTALL_DIR}
if [[ $USE_CUDA -eq 1 ]]; then
    GLOO_FLAGS="-DUSE_CUDA=1 -DNCCL_ROOT_DIR=$NCCL_ROOT_DIR"
fi
# Gloo infiniband support
if [[ $USE_GLOO_IBVERBS -eq 1 ]]; then
    GLOO_FLAGS+=" -DUSE_IBVERBS=1 -DBUILD_SHARED_LIBS=1"
    THD_FLAGS="-DUSE_GLOO_IBVERBS=1"
fi
CWRAP_FILES="\
$BASE_DIR/torch/lib/ATen/Declarations.cwrap;\
$BASE_DIR/torch/lib/THNN/generic/THNN.h;\
$BASE_DIR/torch/lib/THCUNN/generic/THCUNN.h;\
$BASE_DIR/torch/lib/ATen/nn.yaml"
CUDA_NVCC_FLAGS=$C_FLAGS
if [[ -z "$CUDA_DEVICE_DEBUG" ]]; then
  CUDA_DEVICE_DEBUG=0
fi
if [ -z "$MAX_JOBS" ]; then
  MAX_JOBS="$(getconf _NPROCESSORS_ONLN)"
fi

BUILD_TYPE="Release"
if [[ -n "$DEBUG" && $DEBUG -ne 0 ]]; then
  BUILD_TYPE="Debug"
elif [[ -n "$REL_WITH_DEB_INFO" && $REL_WITH_DEB_INFO -ne 0 ]]; then
  BUILD_TYPE="RelWithDebInfo"
fi

echo "Building in $BUILD_TYPE mode"

# Used to build an individual library
function build() {
  if [[ -z "$CMAKE_ARGS" ]]; then
    CMAKE_ARGS=()
  fi
  # We create a build directory for the library, which will
  # contain the cmake output
  mkdir -p build/$1
  pushd build/$1
  BUILD_C_FLAGS=''
  case $1 in
      THCS | THCUNN ) BUILD_C_FLAGS=$C_FLAGS;;
      nanopb ) BUILD_C_FLAGS=$C_FLAGS" -fPIC -fexceptions";;
      *) BUILD_C_FLAGS=$C_FLAGS" -fexceptions";;
  esac
  # TODO: The *_LIBRARIES cmake variables should eventually be
  # deprecated because we are using .cmake files to handle finding
  # installed libraries instead
  ${CMAKE_VERSION} ../../$1 -DCMAKE_MODULE_PATH="$BASE_DIR/cmake/Modules_CUDA_fix" \
              ${CMAKE_GENERATOR} \
              -DTorch_FOUND="1" \
              -DCMAKE_INSTALL_PREFIX="$INSTALL_DIR" \
              -DCMAKE_C_FLAGS="$BUILD_C_FLAGS $USER_CFLAGS" \
              -DCMAKE_CXX_FLAGS="$BUILD_C_FLAGS $CPP_FLAGS $USER_CFLAGS" \
              -DCMAKE_EXE_LINKER_FLAGS="$LDFLAGS $USER_LDFLAGS" \
              -DCMAKE_SHARED_LINKER_FLAGS="$LDFLAGS $USER_LDFLAGS" \
              -DCMAKE_INSTALL_LIBDIR="$INSTALL_DIR/lib" \
              -DCUDA_NVCC_FLAGS="$CUDA_NVCC_FLAGS" \
              -DCUDA_DEVICE_DEBUG=$CUDA_DEVICE_DEBUG \
              -DCMAKE_PREFIX_PATH="$INSTALL_DIR" \
              -Dcwrap_files="$CWRAP_FILES" \
              -DTH_INCLUDE_PATH="$INSTALL_DIR/include" \
              -DTH_LIB_PATH="$INSTALL_DIR/lib" \
              -DTH_LIBRARIES="$INSTALL_DIR/lib/libTH$LD_POSTFIX" \
              -DCAFFE2_LIBRARIES="$INSTALL_DIR/lib/libcaffe2$LD_POSTFIX" \
              -DTHNN_LIBRARIES="$INSTALL_DIR/lib/libTHNN$LD_POSTFIX" \
              -DTHCUNN_LIBRARIES="$INSTALL_DIR/lib/libTHCUNN$LD_POSTFIX" \
              -DTHS_LIBRARIES="$INSTALL_DIR/lib/libTHS$LD_POSTFIX" \
              -DTHC_LIBRARIES="$INSTALL_DIR/lib/libTHC$LD_POSTFIX" \
              -DTHCS_LIBRARIES="$INSTALL_DIR/lib/libTHCS$LD_POSTFIX" \
              -DTH_SO_VERSION=1 \
              -DTHC_SO_VERSION=1 \
              -DTHNN_SO_VERSION=1 \
              -DTHCUNN_SO_VERSION=1 \
              -DTHD_SO_VERSION=1 \
              -DUSE_CUDA=$USE_CUDA \
              -DNO_NNPACK=$((1-$USE_NNPACK)) \
              -DNCCL_EXTERNAL=1 \
              -Dnanopb_BUILD_GENERATOR=0 \
              -DCMAKE_DEBUG_POSTFIX="" \
              -DCMAKE_BUILD_TYPE=$BUILD_TYPE \
              ${@:2} \
              -DCMAKE_EXPORT_COMPILE_COMMANDS=1 ${CMAKE_ARGS[@]}
  ${CMAKE_INSTALL} -j"$MAX_JOBS"
  popd

  # Fix rpaths of shared libraries
  if [[ $(uname) == 'Darwin' ]]; then
    pushd "$INSTALL_DIR/lib"
    for lib in *.dylib; do
      echo "Updating install_name for $lib"
      install_name_tool -id @rpath/$lib $lib
    done
    popd
  fi
}

function path_remove {
  # Delete path by parts so we can never accidentally remove sub paths
  PATH=${PATH//":$1:"/":"} # delete any instances in the middle
  PATH=${PATH/#"$1:"/} # delete any instance at the beginning
  PATH=${PATH/%":$1"/} # delete any instance in the at the end
}

function build_nccl() {
  mkdir -p build/nccl
  pushd build/nccl
  ${CMAKE_VERSION} ../../nccl -DCMAKE_MODULE_PATH="$BASE_DIR/cmake/Modules_CUDA_fix" \
              ${CMAKE_GENERATOR} \
              -DCMAKE_BUILD_TYPE=Release \
              -DCMAKE_INSTALL_PREFIX="$INSTALL_DIR" \
              -DCMAKE_C_FLAGS="$C_FLAGS $USER_CFLAGS" \
              -DCMAKE_CXX_FLAGS="$C_FLAGS $CPP_FLAGS $USER_CFLAGS" \
              -DCMAKE_SHARED_LINKER_FLAGS="$USER_LDFLAGS" \
              -DCMAKE_UTILS_PATH="$BASE_DIR/cmake/public/utils.cmake" \
              -DNUM_JOBS="$MAX_JOBS"
  ${CMAKE_INSTALL} -j"$MAX_JOBS"
  mkdir -p ${INSTALL_DIR}/lib
  cp "lib/libnccl.so.1" "${INSTALL_DIR}/lib/libnccl.so.1"
  if [ ! -f "${INSTALL_DIR}/lib/libnccl.so" ]; then
    ln -s "${INSTALL_DIR}/lib/libnccl.so.1" "${INSTALL_DIR}/lib/libnccl.so"
  fi
  popd
}

# purposefully not using build() because we need Caffe2 to build the same
# regardless of whether it is inside PyTorch or not, so it
# cannot take any special flags
# special flags need to be part of the Caffe2 build itself
#
# However, we do explicitly pass library paths when setup.py has already
# detected them (to ensure that we have a consistent view between the
# PyTorch and Caffe2 builds.)
function build_caffe2() {
  if [[ -z $EXTRA_CAFFE2_CMAKE_FLAGS ]]; then
    EXTRA_CAFFE2_CMAKE_FLAGS=()
  fi
  if [[ -n $CCACHE_WRAPPER_PATH ]]; then
    EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_C_COMPILER=$CCACHE_WRAPPER_PATH/gcc")
    EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_CXX_COMPILER=$CCACHE_WRAPPER_PATH/g++")
  fi
  if [[ -n $CMAKE_PREFIX_PATH ]]; then
    EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH")
  fi

  ${CMAKE_VERSION} $BASE_DIR \
  ${CMAKE_GENERATOR} \
      -DPYTHON_EXECUTABLE=$PYTORCH_PYTHON \
      -DBUILDING_WITH_TORCH_LIBS=ON \
      -DCMAKE_BUILD_TYPE=$BUILD_TYPE \
      -DBUILD_CAFFE2=$FULL_CAFFE2 \
      -DBUILD_TORCH=$BUILD_TORCH \
      -DBUILD_PYTHON=$FULL_CAFFE2 \
      -DBUILD_BINARY=OFF \
      -DBUILD_SHARED_LIBS=$BUILD_SHARED_LIBS \
      -DONNX_NAMESPACE=$ONNX_NAMESPACE \
      -DUSE_CUDA=$USE_CUDA \
      -DCAFFE2_STATIC_LINK_CUDA=$CAFFE2_STATIC_LINK_CUDA \
      -DUSE_ROCM=$USE_ROCM \
      -DUSE_NNPACK=$USE_NNPACK \
      -DCUDNN_INCLUDE_DIR=$CUDNN_INCLUDE_DIR \
      -DCUDNN_LIB_DIR=$CUDNN_LIB_DIR \
      -DCUDNN_LIBRARY=$CUDNN_LIBRARY \
      -DUSE_MKLDNN=$USE_MKLDNN \
      -DMKLDNN_INCLUDE_DIR=$MKLDNN_INCLUDE_DIR \
      -DMKLDNN_LIB_DIR=$MKLDNN_LIB_DIR \
      -DMKLDNN_LIBRARY=$MKLDNN_LIBRARY \
      -DCMAKE_INSTALL_PREFIX="$INSTALL_DIR" \
      -DCMAKE_EXPORT_COMPILE_COMMANDS=1 \
      -DCMAKE_C_FLAGS="$USER_CFLAGS" \
      -DCMAKE_CXX_FLAGS="$USER_CFLAGS" \
      -DCMAKE_EXE_LINKER_FLAGS="$LDFLAGS $USER_LDFLAGS" \
      -DCMAKE_SHARED_LINKER_FLAGS="$LDFLAGS $USER_LDFLAGS" ${EXTRA_CAFFE2_CMAKE_FLAGS[@]}
      # STOP!!! Are you trying to add a C or CXX flag?  Add it
      # to CMakeLists.txt and aten/CMakeLists.txt, not here.
      # We need the vanilla cmake build to work.
  ${CMAKE_INSTALL} -j"$MAX_JOBS"

  # Install Python proto files
  if [[ $FULL_CAFFE2 -ne 0 ]]; then
    find . -name proto
    for proto_file in ./caffe2/proto/*.py; do
      cp $proto_file "../caffe2/proto/"
    done
  fi

  # Fix rpaths of shared libraries
  if [[ $(uname) == 'Darwin' ]]; then
    pushd "$INSTALL_DIR/lib"
    for lib in *.dylib; do
      echo "Updating install_name for $lib"
      install_name_tool -id @rpath/$lib $lib
    done
    popd
  fi
}

# In the torch/lib directory, create an installation directory
mkdir -p $INSTALL_DIR

# Build
for arg in "$@"; do
    if [[ "$arg" == "nccl" ]]; then
        pushd $THIRD_PARTY_DIR
        build_nccl
        popd
    elif [[ "$arg" == "gloo" ]]; then
        pushd "$THIRD_PARTY_DIR"
        build gloo $GLOO_FLAGS
        popd
    elif [[ "$arg" == "caffe2" ]]; then
        build_caffe2
    elif [[ "$arg" == "THD" ]]; then
        pushd "$TORCH_LIB_DIR"
        build THD $THD_FLAGS
        popd
    elif [[ "$arg" == "libshm" ]] || [[ "$arg" == "libshm_windows" ]]; then
        pushd "$TORCH_LIB_DIR"
        build $arg
        popd
    elif [[ "$arg" == "c10d" ]]; then
        pushd "$TORCH_LIB_DIR"
        build c10d
        popd
    else
        pushd "$THIRD_PARTY_DIR"
        build $arg
        popd
    fi
done

pushd $TORCH_LIB_DIR

# If all the builds succeed we copy the libraries, headers,
# binaries to torch/lib
rm -rf "$INSTALL_DIR/lib/cmake"
rm -rf "$INSTALL_DIR/lib/python"
cp -r "$INSTALL_DIR/lib"/* .
if [ -d "$INSTALL_DIR/lib64/" ]; then
    cp -r "$INSTALL_DIR/lib64"/* .
fi
cp ../../aten/src/THNN/generic/THNN.h .
cp ../../aten/src/THCUNN/generic/THCUNN.h .
cp -r "$INSTALL_DIR/include" .
if [ -d "$INSTALL_DIR/bin/" ]; then
    cp -r "$INSTALL_DIR/bin/"/* .
fi

popd

Overwriting /root/pytorch/tools/build_pytorch_libs.sh

!FULL_CAFFE2=1 python setup.py install

Building wheel torch-0.5.0a0+6993e4a
running install
running build_deps
+ USE_CUDA=0
+ USE_ROCM=0
+ USE_NNPACK=0
+ USE_MKLDNN=0
+ USE_GLOO_IBVERBS=0
+ FULL_CAFFE2=0
+ [[ 9 -gt 0 ]]
+ case "$1" in
+ USE_CUDA=1
+ shift
+ [[ 8 -gt 0 ]]
+ case "$1" in
+ USE_NNPACK=0
+ shift
+ [[ 7 -gt 0 ]]
+ case "$1" in
+ FULL_CAFFE2=1
+ shift
+ [[ 6 -gt 0 ]]
+ case "$1" in
+ break
+ CMAKE_INSTALL='make install'
+ BUILD_SHARED_LIBS=ON
+ USER_CFLAGS=
+ USER_LDFLAGS=
+ [[ -n '' ]]
+ [[ -n '' ]]
+ [[ -n '' ]]
++ uname
+ '[' Linux == Darwin ']'
+++ dirname ../tools/build_pytorch_libs.sh
++ cd ../tools/..
+++ pwd
++ printf '%q\n' /root/pytorch
+ BASE_DIR=/root/pytorch
+ TORCH_LIB_DIR=/root/pytorch/torch/lib
+ INSTALL_DIR=/root/pytorch/torch/lib/tmp_install
+ THIRD_PARTY_DIR=/root/pytorch/third_party
+ CMAKE_VERSION=cmake
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN"'
+ C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1'
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib" '
+ LD_POSTFIX=.so
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ [[ 0 -eq 1 ]]
+ LDFLAGS='-L"/root/pytorch/torch/lib/tmp_install/lib"  -Wl,-rpath,$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 ]]
+ 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 '' ']'
++ getconf _NPROCESSORS_ONLN
+ MAX_JOBS=12
+ BUILD_TYPE=Release
+ [[ -n '' ]]
+ [[ -n '' ]]
+ echo 'Building in Release mode'
Building in Release mode
+ mkdir -p /root/pytorch/torch/lib/tmp_install
+ for arg in '"$@"'
+ [[ caffe2 == \n\c\c\l ]]
+ [[ caffe2 == \g\l\o\o ]]
+ [[ caffe2 == \c\a\f\f\e\2 ]]
+ build_caffe2
+ [[ -z '' ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS=()
+ [[ -n '' ]]
+ [[ -n /root/.pyenv/versions/py365/lib/python3.6/site-packages ]]
+ EXTRA_CAFFE2_CMAKE_FLAGS+=("-DCMAKE_PREFIX_PATH=$CMAKE_PREFIX_PATH")
+ cmake /root/pytorch -DPYTHON_EXECUTABLE=/root/.pyenv/versions/py365/bin/python -DBUILDING_WITH_TORCH_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DBUILD_CAFFE2=1 -DBUILD_TORCH=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=0 -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/py365/lib/python3.6/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
-- 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-9.0 (found suitable exact version "9.0") 
-- OpenCV found (/root/usr/local/opencv/share/OpenCV)
-- Found system Eigen at /usr/local/include/eigen3
Python 3.6.5
-- NumPy ver. 1.14.4 found (include: /root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include)
-- Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR) 
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.0/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.0
-- Caffe2: Header version is: 9.0
-- 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) 
-- CUDA detected: 9.0
-- Found libcuda: /usr/lib/x86_64-linux-gnu/libcuda.so
-- Found libnvrtc: /usr/local/cuda-9.0/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)
-- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor
-- Removing -DNDEBUG from compile flags
-- 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.
-- SSE2 Found
-- SSE3 Found
-- AVX Found
-- AVX2 Found
-- Atomics: using GCC intrinsics
-- Checking for [mkl_intel_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel_lp64: not found
-- Checking for [mkl_intel - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - gomp - pthread - m - dl]
--   Library mkl_intel: not found
-- Checking for [mkl_gf_lp64 - mkl_gnu_thread - mkl_core - gomp - pthread - m - dl]
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-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "5.5") 
disabling ROCM because NOT USE_ROCM is set
-- MIOpen not found. Compiling without MIOpen support
-- Could NOT find MKLDNN (missing: MKLDNN_INCLUDE_DIR MKLDNN_LIBRARY) 
-- MKLDNN not found. Compiling without MKLDNN support
-- GCC 5.4.0: Adding gcc and gcc_s libs to link line
-- Using python found in /root/.pyenv/versions/py365/bin/python
-- 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/cc
-- 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 : LIB_MPFR-NOTFOUND
-- GMP : /usr/lib/x86_64-linux-gnu/libgmp.so
-- RUNNING_ON_TRAVIS : 0
-- COMPILER_SUPPORTS_OPENMP : 1
-- Using python found in /root/.pyenv/versions/py365/bin/python
-- Include NCCL operators
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-- 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/python3.6/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:346 (message):
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  gflags, and protobuf.  Other settings may generate files that are not well
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-- 
-- ******** Summary ********
-- General:
--   CMake version         : 3.12.1
--   CMake command         : /usr/local/bin/cmake
--   Git version           : v0.1.11-10007-g6993e4a-dirty
--   System                : Linux
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--   Build type            : Release
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--   CMAKE_INSTALL_PREFIX  : /root/pytorch/torch/lib/tmp_install
-- 
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--     Link local protobuf : ON
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--     Python site-packages: lib/python3.6/site-packages
--   BUILD_SHARED_LIBS     : ON
--   BUILD_TEST            : OFF
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--     CUDA root directory : /usr/local/cuda-9.0
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--     cufft library       : /usr/local/cuda-9.0/lib64/libcufft.so
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--   Public Dependencies  : Threads::Threads;gflags;glog::glog
--   Private Dependencies : 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
-- Build files have been written to: /root/pytorch/build
+ make install -j12
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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/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;
                ^
At global scope:
cc1plus: warning: unrecognized command line option '-Wno-stringop-overflow'
[ 22%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/LayoutId.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/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/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;
                ^
[ 22%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/LeftRight.cpp.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: At global scope:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:69: 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(); 
                                         ^
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: At global scope:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:69: 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(); 
                                         ^
[ 22%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/embedding_lookup_fused_8bit_rowwise_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;
                ^
cc1plus: warning: unrecognized command line option '-Wno-stringop-overflow'
[ 22%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/math_cpu_avx2.cc.o
cc1plus: warning: unrecognized command line option '-Wno-stringop-overflow'
[ 22%] Building CXX object caffe2/perfkernels/CMakeFiles/Caffe2_perfkernels_avx2.dir/typed_axpy_avx2.cc.o
[ 22%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/OpSchema.cpp.o
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: At global scope:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:69: 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(); 
                                         ^
[ 22%] Built target Caffe2_perfkernels_avx
[ 22%] Building CXX object caffe2/core/dispatch/CMakeFiles/dispatch.dir/OpSchemaRegistration.cpp.o
[ 22%] Built target python_copy_files
cc1plus: warning: unrecognized command line option '-Wno-stringop-overflow'
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/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/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: At global scope:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:69: 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(); 
                                         ^
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: At global scope:
/root/pytorch/build/caffe2/proto/caffe2.pb.h:129:69: 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'
cc1plus: warning: unrecognized command line option '-Wno-stringop-overflow'
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/root/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::<unnamed>::AddFunctor<T>::operator() [with T=float]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::<unnamed>::AddFunctor<T>::operator() [with T=int64_t]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::<unnamed>::AddFunctor<T>::operator() [with T=int32_t]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(46): warning: function "caffe2::math::<unnamed>::AddFunctor<caffe2::float16>::operator()" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::<unnamed>::SubFunctor<T>::operator() [with T=double]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::<unnamed>::SubFunctor<T>::operator() [with T=float]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::<unnamed>::SubFunctor<T>::operator() [with T=int64_t]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::<unnamed>::SubFunctor<T>::operator() [with T=int32_t]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(47): warning: function "caffe2::math::<unnamed>::SubFunctor<caffe2::float16>::operator()" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::<unnamed>::MulFunctor<T>::operator() [with T=double]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::<unnamed>::MulFunctor<T>::operator() [with T=float]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::<unnamed>::MulFunctor<T>::operator() [with T=int64_t]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::<unnamed>::MulFunctor<T>::operator() [with T=int32_t]" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(48): warning: function "caffe2::math::<unnamed>::MulFunctor<caffe2::float16>::operator()" was declared but never referenced

/root/pytorch/caffe2/utils/math_gpu.cu(49): warning: function "caffe2::math::<unnamed>::DivFunctor<T>::operator() [with T=double]" was declared but never referenced

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/root/pytorch/caffe2/utils/math_gpu.cu(49): warning: function "caffe2::math::<unnamed>::DivFunctor<T>::operator() [with T=int64_t]" was declared but never referenced

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/root/pytorch/caffe2/operators/layer_norm_op.cu: In function 'void caffe2::_GLOBAL__N__48_tmpxft_00005bc7_00000000_6_layer_norm_op_cpp1_ii_488f522d::allocScratchAndReduce(InputIterator_t, float*, int, int*, caffe2::Tensor*, cudaStream_t) [with InputIterator_t = cub::TransformInputIterator<float, caffe2::_GLOBAL__N__48_tmpxft_00005bc7_00000000_6_layer_norm_op_cpp1_ii_488f522d::SqrTransform<float>, const float*>; cudaStream_t = CUstream_st*]':
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/root/pytorch/caffe2/operators/conv_op_cudnn.cc:839:16:   required from here
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/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]
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/root/pytorch/caffe2/operators/conv_op_cudnn.cc:527:27: warning: variable 'group_offset_Y' set but not used [-Wunused-but-set-variable]
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                           ^
/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]
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/root/pytorch/caffe2/operators/conv_op_cudnn.cc:873:27: warning: variable 'group_offset_Y' set but not used [-Wunused-but-set-variable]
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/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
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-- 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
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-- 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
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_logsoftmax_example_1
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-- 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
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_split_variable_parts_1d
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_clip_default_min
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_add
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-- 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
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-- 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
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_max_keepdims_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_cast_DOUBLE_to_FLOAT
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_tanh_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_and3d
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_cast_FLOAT_to_FLOAT16
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_mean_two_inputs
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_prelu_broadcast
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_prelu_broadcast/test_data_set_0
-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_sum_square_keepdims_random
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_max_default_axes_keepdim_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_l2_default_axes_keepdims_random
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_floor_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_or3d
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_hardmax_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_pow_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_l1_keep_dims_example
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-- Installing: /root/pytorch/torch/lib/tmp_install/include/onnx/backend/test/data/node/test_reduce_l2_keep_dims_example
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-- 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/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/lib"
+ [[ 1 -ne 0 ]]
+ find . -name proto
./caffe2/proto
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/__init__.py ../caffe2/proto/
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/caffe2_legacy_pb2.py ../caffe2/proto/
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/caffe2_pb2.py ../caffe2/proto/
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/hsm_pb2.py ../caffe2/proto/
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/metanet_pb2.py ../caffe2/proto/
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/predictor_consts_pb2.py ../caffe2/proto/
+ for proto_file in './caffe2/proto/*.py'
+ cp ./caffe2/proto/prof_dag_pb2.py ../caffe2/proto/
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ 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
+ build nanopb
+ [[ -z '' ]]
+ CMAKE_ARGS=()
+ mkdir -p build/nanopb
+ pushd build/nanopb
~/pytorch/third_party/build/nanopb ~/pytorch/third_party ~/pytorch/build
+ 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=1 -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 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- 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
[ 25%] Building C object CMakeFiles/protobuf-nanopb.dir/pb_common.c.o
[ 50%] Building C object CMakeFiles/protobuf-nanopb.dir/pb_encode.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/build
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch/build
+ 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
+ build libshm
+ [[ -z '' ]]
+ CMAKE_ARGS=()
+ mkdir -p build/libshm
+ pushd build/libshm
~/pytorch/torch/lib/build/libshm ~/pytorch/torch/lib ~/pytorch/build
+ 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=1 -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 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- 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/c++
-- Check for working CXX compiler: /usr/bin/c++ -- 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-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.0/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.0
-- Caffe2: Header version is: 9.0
-- 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 torch_shm_manager
Scanning dependencies of target shm
[ 25%] 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
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'
[ 75%] Built target torch_shm_manager
[100%] Linking CXX shared library libshm.so
[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/build
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch/build
+ for arg in '"$@"'
+ [[ gloo == \n\c\c\l ]]
+ [[ gloo == \g\l\o\o ]]
+ pushd /root/pytorch/third_party
~/pytorch/third_party ~/pytorch/build
+ build gloo -DUSE_CUDA=1 -DNCCL_ROOT_DIR=/usr/
+ [[ -z '' ]]
+ CMAKE_ARGS=()
+ mkdir -p build/gloo
+ pushd build/gloo
~/pytorch/third_party/build/gloo ~/pytorch/third_party ~/pytorch/build
+ 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=1 -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 5.4.0
-- The C compiler identification is GNU 5.4.0
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- 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/cc
-- Check for working C compiler: /usr/bin/cc -- 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-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- CUDA detected: 9.0
-- 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-9.0/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
[  9%] Building CXX object gloo/CMakeFiles/gloo.dir/allreduce_local.cc.o
[  9%] Building CXX object gloo/CMakeFiles/gloo.dir/context.cc.o
[  9%] Building CXX object gloo/CMakeFiles/gloo.dir/algorithm.cc.o
[ 12%] Building CXX object gloo/CMakeFiles/gloo.dir/common/linux.cc.o
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[ 38%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/buffer.cc.o
[ 41%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/device.cc.o
[ 45%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/pair.cc.o
[ 48%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/address.cc.o
[ 51%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/buffer.cc.o
[ 54%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/device.cc.o
[ 58%] Building CXX object gloo/CMakeFiles/gloo.dir/transport/tcp/pair.cc.o
[ 61%] Linking CXX static library libgloo.a
[ 61%] Built target gloo
[ 64%] Building NVCC (Device) object gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda_private.cu.o
[ 67%] Building NVCC (Device) object gloo/CMakeFiles/gloo_cuda.dir/gloo_cuda_generated_cuda.cu.o
Scanning dependencies of target gloo_cuda
[ 70%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_local.cc.o
[ 74%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_bcube.cc.o
[ 77%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_halving_doubling.cc.o
[ 80%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring.cc.o
[ 83%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_broadcast_one_to_all.cc.o
[ 87%] Building CXX object gloo/CMakeFiles/gloo_cuda.dir/cuda_allreduce_ring_chunked.cc.o
[ 90%] Linking CXX static library libgloo_cuda.a
[ 90%] Built target gloo_cuda
Scanning dependencies of target gloo_builder
[ 96%] Building CXX object gloo/CMakeFiles/gloo_builder.dir/allreduce_builder.cc.o
[ 96%] Building CXX object gloo/CMakeFiles/gloo_builder.dir/broadcast_builder.cc.o
[100%] Linking CXX static library libgloo_builder.a
[100%] Built target gloo_builder
Install the project...
-- Install configuration: "Release"
-- Installing: /root/pytorch/torch/lib/tmp_install/share/cmake/Gloo/GlooConfig.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/share/cmake/Gloo/GlooConfigVersion.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/share/cmake/Gloo/GlooTargets.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/share/cmake/Gloo/GlooTargets-release.cmake
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libgloo.a
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libgloo_builder.a
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libgloo_cuda.a
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/config.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/algorithm.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allgather_ring.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allreduce_halving_doubling.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allreduce_bcube.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allreduce_local.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allreduce_ring.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allreduce_ring_chunked.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/barrier.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/barrier_all_to_all.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/barrier_all_to_one.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/broadcast_one_to_all.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/reduce_scatter.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/context.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/math.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/pairwise_exchange.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/types.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/common/common.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/common/error.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/common/linux.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/common/linux_devices.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/common/logging.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/common/string.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/rendezvous/file_store.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/rendezvous/hash_store.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/rendezvous/prefix_store.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/rendezvous/store.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/rendezvous/context.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/address.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/buffer.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/device.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/pair.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/tcp/address.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/tcp/buffer.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/tcp/device.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/transport/tcp/pair.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/allreduce_builder.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/broadcast_builder.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_allreduce_bcube.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_allreduce_halving_doubling.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_allreduce_halving_doubling_pipelined.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_allreduce_local.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_allreduce_ring.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_allreduce_ring_chunked.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_broadcast_one_to_all.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_collectives_device.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_collectives_host.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_collectives_native.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_collectives_nccl.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_private.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/gloo/cuda_workspace.h
+ popd
~/pytorch/third_party ~/pytorch/build
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch/build
+ for arg in '"$@"'
+ [[ THD == \n\c\c\l ]]
+ [[ THD == \g\l\o\o ]]
+ [[ THD == \c\a\f\f\e\2 ]]
+ [[ THD == \T\H\D ]]
+ pushd /root/pytorch/torch/lib
~/pytorch/torch/lib ~/pytorch/build
+ build THD
+ [[ -z '' ]]
+ CMAKE_ARGS=()
+ mkdir -p build/THD
+ pushd build/THD
~/pytorch/torch/lib/build/THD ~/pytorch/torch/lib ~/pytorch/build
+ BUILD_C_FLAGS=
+ case $1 in
+ BUILD_C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions'
+ cmake ../../THD -DCMAKE_MODULE_PATH=/root/pytorch/cmake/Modules_CUDA_fix -DTorch_FOUND=1 -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch/lib/tmp_install '-DCMAKE_C_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions ' '-DCMAKE_CXX_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions  -std=c++11  ' '-DCMAKE_EXE_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib"  -Wl,-rpath,$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=1 -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 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- 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/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Performing Test HAS_THREAD_LOCAL
-- Performing Test HAS_THREAD_LOCAL - Success
-- Found MPI_C: /usr/local/lib/libmpi.so (found version "3.1") 
-- Found MPI_CXX: /usr/local/lib/libmpi.so (found version "3.1") 
-- Found MPI: TRUE (found version "3.1")  
-- Found Gloo: /root/pytorch/torch/lib/tmp_install/include  
-- 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  
-- Caffe2: Found gflags with new-style gflags target.
-- Caffe2: Found glog with new-style glog target.
-- Caffe2: Found protobuf with new-style protobuf targets.
-- Caffe2: Protobuf version 3.5.0
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.0/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.0
-- Caffe2: Header version is: 9.0
-- 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
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "7.5") 
-- Found NCCL: /usr/include  
-- 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)
-- MPI_LIBRARIES: /usr/local/lib/libmpi.so
-- Found Gloo, will compile with Gloo distributed backend
-- Building the gloo backend with TCP support only
-- NCCL_LIBRARIES: /usr/lib/x86_64-linux-gnu/libnccl.so
-- NCCL Version 2 or higher found, will compile with NCCL distributed backend
-- MPI_COMPILE_FLAGS: -pthread
-- MPI_LINK_FLAGS: -Wl,-rpath -Wl,/usr/local/lib -Wl,--enable-new-dtags -pthread
-- 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
    cwrap_files
    nanopb_BUILD_GENERATOR


-- Build files have been written to: /root/pytorch/torch/lib/build/THD
+ make install -j12
Scanning dependencies of target THD
[ 11%] Building CXX object CMakeFiles/THD.dir/base/Cuda.cpp.o
[ 11%] Building CXX object CMakeFiles/THD.dir/base/ChannelUtils.cpp.o
[ 22%] Building CXX object CMakeFiles/THD.dir/base/DataChannel.cpp.o
[ 22%] Building CXX object CMakeFiles/THD.dir/base/DataChannelRequest.cpp.o
[ 27%] Building CXX object CMakeFiles/THD.dir/base/RPCType.cpp.o
[ 33%] Building CXX object CMakeFiles/THD.dir/base/data_channels/DataChannelGloo.cpp.o
[ 38%] Building CXX object CMakeFiles/THD.dir/base/data_channels/DataChannelNccl.cpp.o
[ 50%] Building CXX object CMakeFiles/THD.dir/base/data_channels/DataChannelMPI.cpp.o
[ 50%] Building CXX object CMakeFiles/THD.dir/base/init_methods/InitMethodEnv.cpp.o
[ 55%] Building CXX object CMakeFiles/THD.dir/base/data_channels/Store.cpp.o
[ 61%] Building CXX object CMakeFiles/THD.dir/base/data_channels/DataChannelTCP.cpp.o
[ 66%] Building CXX object CMakeFiles/THD.dir/base/init_methods/InitMethod.cpp.o
[ 72%] Building CXX object CMakeFiles/THD.dir/base/init_methods/InitMethodFile.cpp.o
[ 77%] Building CXX object CMakeFiles/THD.dir/base/init_methods/InitMethodTCP.cpp.o
[ 83%] Building CXX object CMakeFiles/THD.dir/base/init_methods/InitMethodUtils.cpp.o
[ 88%] Building CXX object CMakeFiles/THD.dir/process_group/Collectives.cpp.o
[ 94%] Building CXX object CMakeFiles/THD.dir/process_group/General.cpp.o
[100%] Linking CXX static library libTHD.a
[100%] Built target THD
Install the project...
-- Install configuration: "Release"
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libTHD.a
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/THD.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/base/ChannelType.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/base/Cuda.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/base/DataChannel.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/base/DataChannelRequest.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/base/THDGenerateAllTypes.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/base/TensorDescriptor.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/process_group/Collectives.h
-- Installing: /root/pytorch/torch/lib/tmp_install/include/THD/process_group/General.h
+ popd
~/pytorch/torch/lib ~/pytorch/build
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch/build
+ for arg in '"$@"'
+ [[ c10d == \n\c\c\l ]]
+ [[ c10d == \g\l\o\o ]]
+ [[ c10d == \c\a\f\f\e\2 ]]
+ [[ c10d == \T\H\D ]]
+ [[ c10d == \l\i\b\s\h\m ]]
+ [[ c10d == \l\i\b\s\h\m\_\w\i\n\d\o\w\s ]]
+ [[ c10d == \c\1\0\d ]]
+ pushd /root/pytorch/torch/lib
~/pytorch/torch/lib ~/pytorch/build
+ build c10d
+ [[ -z '' ]]
+ CMAKE_ARGS=()
+ mkdir -p build/c10d
+ pushd build/c10d
~/pytorch/torch/lib/build/c10d ~/pytorch/torch/lib ~/pytorch/build
+ BUILD_C_FLAGS=
+ case $1 in
+ BUILD_C_FLAGS=' -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions'
+ cmake ../../c10d -DCMAKE_MODULE_PATH=/root/pytorch/cmake/Modules_CUDA_fix -DTorch_FOUND=1 -DCMAKE_INSTALL_PREFIX=/root/pytorch/torch/lib/tmp_install '-DCMAKE_C_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions ' '-DCMAKE_CXX_FLAGS= -I"/root/pytorch/torch/lib/tmp_install/include"   -I"/root/pytorch/torch/lib/tmp_install/include/TH" -I"/root/pytorch/torch/lib/tmp_install/include/THC"   -I"/root/pytorch/torch/lib/tmp_install/include/THS" -I"/root/pytorch/torch/lib/tmp_install/include/THCS"   -I"/root/pytorch/torch/lib/tmp_install/include/THNN" -I"/root/pytorch/torch/lib/tmp_install/include/THCUNN" -DOMPI_SKIP_MPICXX=1 -fexceptions  -std=c++11  ' '-DCMAKE_EXE_LINKER_FLAGS=-L"/root/pytorch/torch/lib/tmp_install/lib"  -Wl,-rpath,$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=1 -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 5.4.0
-- The CXX compiler identification is GNU 5.4.0
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- 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/c++
-- Check for working CXX compiler: /usr/bin/c++ -- 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  
-- Caffe2: Found gflags with new-style gflags target.
-- Caffe2: Found glog with new-style glog target.
-- Caffe2: Found protobuf with new-style protobuf targets.
-- Caffe2: Protobuf version 3.5.0
-- Found CUDA: /usr/local/cuda-9.0 (found suitable version "9.0", minimum required is "7.0") 
-- Caffe2: CUDA detected: 9.0
-- Caffe2: CUDA nvcc is: /usr/local/cuda-9.0/bin/nvcc
-- Caffe2: CUDA toolkit directory: /usr/local/cuda-9.0
-- Caffe2: Header version is: 9.0
-- 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
-- Found Gloo: /root/pytorch/torch/lib/tmp_install/include  
-- Gloo_LIBRARY: /root/pytorch/torch/lib/tmp_install/lib/libgloo_cuda.a
-- Gloo_NATIVE_LIBRARY: /root/pytorch/torch/lib/tmp_install/lib/libgloo.a
-- Gloo_INCLUDE_DIR: /root/pytorch/torch/lib/tmp_install/include
-- Found MPI_C: /usr/local/lib/libmpi.so (found version "3.1") 
-- Found MPI_CXX: /usr/local/lib/libmpi.so (found version "3.1") 
-- Found MPI: TRUE (found version "3.1")  
-- MPI_INCLUDE_PATH: /usr/local/include
-- MPI_LIBRARIES: /usr/local/lib/libmpi.so
-- MPIEXEC: /root/.pyenv/shims/mpiexec
-- Found NCCL: /usr/include  
-- 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)
-- NCCL_LIBRARIES: /usr/lib/x86_64-linux-gnu/libnccl.so
-- NCCL_INCLUDE_DIRS: /usr/include
-- NCCL Version 2 or higher found, will compile with NCCL distributed backend
-- Found CUDA: /usr/local/cuda-9.0 (found version "9.0") 
-- Configuring done
-- Generating done
CMake Warning:
  Manually-specified variables were not used by the project:

    CAFFE2_LIBRARIES
    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/c10d
+ make install -j12
Scanning dependencies of target c10d
[  3%] Building CXX object CMakeFiles/c10d.dir/FileStore.cpp.o
[  7%] Building CXX object CMakeFiles/c10d.dir/CUDAUtils.cpp.o
[ 14%] Building CXX object CMakeFiles/c10d.dir/ProcessGroup.cpp.o
[ 14%] Building CXX object CMakeFiles/c10d.dir/Store.cpp.o
[ 18%] Building CXX object CMakeFiles/c10d.dir/TCPStore.cpp.o
[ 22%] Building CXX object CMakeFiles/c10d.dir/Utils.cpp.o
[ 25%] Building CXX object CMakeFiles/c10d.dir/PrefixStore.cpp.o
[ 29%] Building CXX object CMakeFiles/c10d.dir/ProcessGroupGloo.cpp.o
[ 37%] Building CXX object CMakeFiles/c10d.dir/ProcessGroupMPI.cpp.o
[ 37%] Building CXX object CMakeFiles/c10d.dir/ProcessGroupNCCL.cpp.o
/root/pytorch/torch/lib/c10d/ProcessGroupGloo.cpp: In member function 'c10d::AlgorithmEntry* c10d::ProcessGroupGloo::checkout(const c10d::AlgorithmKey&)':
/root/pytorch/torch/lib/c10d/ProcessGroupGloo.cpp:445:18: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
   if (vec.size() != cacheNumAlgorithmEntries_) {
                  ^
[ 40%] Linking CXX static library libc10d.a
[ 40%] Built target c10d
[ 44%] Building NVCC (Device) object test/CMakeFiles/c10d_cuda_test.dir/c10d_cuda_test_generated_CUDATest.cu.o
Scanning dependencies of target ProcessGroupMPITest
Scanning dependencies of target allreduce
Scanning dependencies of target FileStoreTest
Scanning dependencies of target TCPStoreTest
[ 48%] Building CXX object test/CMakeFiles/FileStoreTest.dir/FileStoreTest.cpp.o
[ 51%] Building CXX object test/CMakeFiles/TCPStoreTest.dir/TCPStoreTest.cpp.o
[ 55%] Building CXX object test/CMakeFiles/ProcessGroupMPITest.dir/ProcessGroupMPITest.cpp.o
[ 59%] Building CXX object example/CMakeFiles/allreduce.dir/allreduce.cpp.o
[ 62%] Linking CXX executable FileStoreTest
[ 62%] Built target FileStoreTest
/root/pytorch/torch/lib/c10d/example/allreduce.cpp: In function 'int main(int, char**)':
/root/pytorch/torch/lib/c10d/example/allreduce.cpp:16:64: warning: 'at::Tensor at::ones(const at::Type&, at::IntList)' is deprecated [-Wdeprecated-declarations]
     auto x = at::ones(at::CPU(at::kFloat), {1000, 16 * (i + 1)});
                                                                ^
In file included from /root/pytorch/torch/lib/tmp_install/include/ATen/ATen.h:13:0,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroup.hpp:7,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroupGloo.hpp:19,
                 from /root/pytorch/torch/lib/c10d/example/allreduce.cpp:2:
/root/pytorch/torch/lib/tmp_install/include/ATen/Functions.h:4001:22: note: declared here
 static inline Tensor ones(const Type & dtype, IntList size) {
                      ^
[ 66%] Linking CXX executable allreduce
[ 70%] Linking CXX executable TCPStoreTest
[ 70%] Built target TCPStoreTest
[ 74%] Linking CXX executable ProcessGroupMPITest
[ 74%] Built target allreduce
[ 74%] Built target ProcessGroupMPITest
Scanning dependencies of target c10d_cuda_test
[ 77%] Linking CXX static library libc10d_cuda_test.a
[ 77%] Built target c10d_cuda_test
Scanning dependencies of target ProcessGroupGlooAsyncTest
Scanning dependencies of target ProcessGroupGlooTest
Scanning dependencies of target ProcessGroupNCCLTest
[ 81%] Building CXX object test/CMakeFiles/ProcessGroupGlooTest.dir/ProcessGroupGlooTest.cpp.o
[ 85%] Building CXX object test/CMakeFiles/ProcessGroupNCCLTest.dir/ProcessGroupNCCLTest.cpp.o
[ 88%] Building CXX object test/CMakeFiles/ProcessGroupGlooAsyncTest.dir/ProcessGroupGlooAsyncTest.cpp.o
/root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp: In member function 'std::shared_ptr<c10d::ProcessGroup::Work> SignalTest::run(int, int)':
/root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp:51:47: warning: 'at::Tensor at::ones(const at::Type&, at::IntList)' is deprecated [-Wdeprecated-declarations]
         at::ones(at::CPU(at::kFloat), {16, 16}),
                                               ^
In file included from /root/pytorch/torch/lib/tmp_install/include/ATen/ATen.h:13:0,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroup.hpp:7,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroupGloo.hpp:19,
                 from /root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp:16:
/root/pytorch/torch/lib/tmp_install/include/ATen/Functions.h:4001:22: note: declared here
 static inline Tensor ones(const Type & dtype, IntList size) {
                      ^
/root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp: In function 'void testAllreduce(const string&, at::Backend)':
/root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp:158:64: warning: 'at::Tensor at::ones(const at::Type&, at::IntList)' is deprecated [-Wdeprecated-declarations]
     auto tensor = at::ones(at::getType(b, at::kFloat), {16, 16}) * i;
                                                                ^
In file included from /root/pytorch/torch/lib/tmp_install/include/ATen/ATen.h:13:0,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroup.hpp:7,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroupGloo.hpp:19,
                 from /root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp:16:
/root/pytorch/torch/lib/tmp_install/include/ATen/Functions.h:4001:22: note: declared here
 static inline Tensor ones(const Type & dtype, IntList size) {
                      ^
/root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp: In function 'void testBroadcast(const string&, at::Backend)':
/root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp:208:49: warning: 'at::Tensor at::ones(const at::Type&, at::IntList)' is deprecated [-Wdeprecated-declarations]
           inputs[k][l] = at::ones(type, {16, 16}) * (k * stride + l);
                                                 ^
In file included from /root/pytorch/torch/lib/tmp_install/include/ATen/ATen.h:13:0,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroup.hpp:7,
                 from /root/pytorch/torch/lib/c10d/../c10d/ProcessGroupGloo.hpp:19,
                 from /root/pytorch/torch/lib/c10d/test/ProcessGroupGlooTest.cpp:16:
/root/pytorch/torch/lib/tmp_install/include/ATen/Functions.h:4001:22: note: declared here
 static inline Tensor ones(const Type & dtype, IntList size) {
                      ^
[ 92%] Linking CXX executable ProcessGroupGlooTest
[ 96%] Linking CXX executable ProcessGroupNCCLTest
[100%] Linking CXX executable ProcessGroupGlooAsyncTest
[100%] Built target ProcessGroupGlooTest
[100%] Built target ProcessGroupNCCLTest
[100%] Built target ProcessGroupGlooAsyncTest
Install the project...
-- Install configuration: "Release"
-- Installing: /root/pytorch/torch/lib/tmp_install/lib/libc10d.a
-- Up-to-date: /root/pytorch/torch/lib/tmp_install/include
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/ProcessGroupGloo.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/ProcessGroup.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/ProcessGroupNCCL.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/Def.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/Utils.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/NCCLUtils.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/CUDAUtils.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/TCPStore.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/FileStore.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/ProcessGroupMPI.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/Store.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/PrefixStore.hpp
-- Installing: /root/pytorch/torch/lib/tmp_install/include/c10d/Types.hpp
+ popd
~/pytorch/torch/lib ~/pytorch/build
++ uname
+ [[ Linux == \D\a\r\w\i\n ]]
+ popd
~/pytorch/build
+ pushd /root/pytorch/torch/lib
~/pytorch/torch/lib ~/pytorch/build
+ rm -rf /root/pytorch/torch/lib/tmp_install/lib/cmake
+ rm -rf /root/pytorch/torch/lib/tmp_install/lib/python
+ cp -r /root/pytorch/torch/lib/tmp_install/lib/libTHD.a /root/pytorch/torch/lib/tmp_install/lib/libc10d.a /root/pytorch/torch/lib/tmp_install/lib/libcaffe2.so /root/pytorch/torch/lib/tmp_install/lib/libcaffe2_detectron_ops_gpu.so /root/pytorch/torch/lib/tmp_install/lib/libcaffe2_gpu.so /root/pytorch/torch/lib/tmp_install/lib/libcaffe2_observers.so /root/pytorch/torch/lib/tmp_install/lib/libclog.a /root/pytorch/torch/lib/tmp_install/lib/libcpuinfo.a /root/pytorch/torch/lib/tmp_install/lib/libgloo.a /root/pytorch/torch/lib/tmp_install/lib/libgloo_builder.a /root/pytorch/torch/lib/tmp_install/lib/libgloo_cuda.a /root/pytorch/torch/lib/tmp_install/lib/libnomnigraph.a /root/pytorch/torch/lib/tmp_install/lib/libonnx.a /root/pytorch/torch/lib/tmp_install/lib/libonnx_proto.a /root/pytorch/torch/lib/tmp_install/lib/libonnxifi_dummy.so /root/pytorch/torch/lib/tmp_install/lib/libprotobuf-lite.a /root/pytorch/torch/lib/tmp_install/lib/libprotobuf-nanopb.a /root/pytorch/torch/lib/tmp_install/lib/libprotobuf.a /root/pytorch/torch/lib/tmp_install/lib/libprotoc.a /root/pytorch/torch/lib/tmp_install/lib/libshm.so /root/pytorch/torch/lib/tmp_install/lib/libsleef.a /root/pytorch/torch/lib/tmp_install/lib/libtorch.so /root/pytorch/torch/lib/tmp_install/lib/libtorch.so.1 /root/pytorch/torch/lib/tmp_install/lib/pkgconfig /root/pytorch/torch/lib/tmp_install/lib/python3.6 .
+ '[' -d /root/pytorch/torch/lib/tmp_install/lib64/ ']'
+ cp ../../aten/src/THNN/generic/THNN.h .
+ cp ../../aten/src/THCUNN/generic/THCUNN.h .
+ cp -r /root/pytorch/torch/lib/tmp_install/include .
+ '[' -d /root/pytorch/torch/lib/tmp_install/bin/ ']'
+ cp -r /root/pytorch/torch/lib/tmp_install/bin//protoc /root/pytorch/torch/lib/tmp_install/bin//torch_shm_manager .
+ popd
~/pytorch/build
creating torch/lib/include/torch
creating torch/lib/include/torch/csrc
copying torch/csrc/torch.h -> torch/lib/include/torch/csrc
copying torch/csrc/python_headers.h -> torch/lib/include/torch/csrc
copying torch/csrc/byte_order.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Exceptions.h -> torch/lib/include/torch/csrc
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creating torch/lib/include/torch/csrc/nn
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creating torch/lib/include/torch/csrc/onnx
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creating torch/lib/include/torch/csrc/utils
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copying torch/csrc/utils/tensor_apply.h -> torch/lib/include/torch/csrc/utils
copying torch/csrc/utils/tensor_numpy.cpp -> torch/lib/include/torch/csrc/utils
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creating torch/lib/include/torch/csrc/api/src/nn/modules
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creating torch/lib/include/torch/csrc/api/src/optim
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creating torch/lib/include/torch/csrc/api/include
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creating torch/lib/include/torch/csrc/api/include/torch/nn/parallel
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copying torch/csrc/api/include/torch/nn/cursor.h -> torch/lib/include/torch/csrc/api/include/torch/nn
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creating torch/lib/include/torch/csrc/api/include/torch/optim
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copying torch/csrc/api/include/torch/optim/optimizer.h -> torch/lib/include/torch/csrc/api/include/torch/optim
copying torch/csrc/api/include/torch/optim/adagrad.h -> torch/lib/include/torch/csrc/api/include/torch/optim
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copying torch/csrc/api/include/torch/optim/lbfgs.h -> torch/lib/include/torch/csrc/api/include/torch/optim
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copying torch/csrc/api/README.md -> torch/lib/include/torch/csrc/api
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copying torch/csrc/jit/passes/dead_code_elimination.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/remove_expands.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/shape_analysis.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/onnx.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/decompose_addmm.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/constant_propagation.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/loop_unrolling.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/erase_number_types.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/loop_unrolling.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/to_batch.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/erase_number_types.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/lower_grad_of.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/lower_grad_of.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/to_batch.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/constant_propagation.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/specialize_undef.h -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/passes/specialize_undef.cpp -> torch/lib/include/torch/csrc/jit/passes
copying torch/csrc/jit/fusion_compiler.cpp -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/graph_node_list.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/type.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/custom_operator.h -> torch/lib/include/torch/csrc/jit
creating torch/lib/include/torch/csrc/jit/generated
copying torch/csrc/jit/generated/register_aten_ops.cpp -> torch/lib/include/torch/csrc/jit/generated
copying torch/csrc/jit/generated/aten_interned_strings.h -> torch/lib/include/torch/csrc/jit/generated
copying torch/csrc/jit/pybind_utils.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/operator.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/constants.cpp -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/register_prim_ops.cpp -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/interned_strings_class.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/source_range.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/serialization.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/operator.cpp -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/ivalue.cpp -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/stack.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/ivalue.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/constants.h -> torch/lib/include/torch/csrc/jit
copying torch/csrc/jit/assertions.h -> torch/lib/include/torch/csrc/jit
creating torch/lib/include/torch/csrc/jit/batched
copying torch/csrc/jit/batched/BatchTensor.cpp -> torch/lib/include/torch/csrc/jit/batched
copying torch/csrc/jit/batched/BatchTensor.h -> torch/lib/include/torch/csrc/jit/batched
copying torch/csrc/jit/register_symbols.cpp -> torch/lib/include/torch/csrc/jit
copying torch/csrc/DynamicTypes.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Size.h -> torch/lib/include/torch/csrc
copying torch/csrc/Generator.h -> torch/lib/include/torch/csrc
copying torch/csrc/Dtype.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/THP_export.h -> torch/lib/include/torch/csrc
copying torch/csrc/nvrtc.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Dtype.h -> torch/lib/include/torch/csrc
creating torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/utils.h -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/serialization.h -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/StorageMethods.cpp -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/utils.cpp -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/Storage.h -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/serialization.cpp -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/StorageSharing.cpp -> torch/lib/include/torch/csrc/generic
copying torch/csrc/generic/Storage.cpp -> torch/lib/include/torch/csrc/generic
copying torch/csrc/torch.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/DynamicTypes.h -> torch/lib/include/torch/csrc
copying torch/csrc/README.md -> torch/lib/include/torch/csrc
copying torch/csrc/Storage.h -> torch/lib/include/torch/csrc
copying torch/csrc/dl.c -> torch/lib/include/torch/csrc
copying torch/csrc/Exceptions.cpp -> torch/lib/include/torch/csrc
creating torch/lib/include/torch/csrc/distributed
copying torch/csrc/distributed/THDP.h -> torch/lib/include/torch/csrc/distributed
copying torch/csrc/distributed/copy_utils.h -> torch/lib/include/torch/csrc/distributed
copying torch/csrc/distributed/utils.h -> torch/lib/include/torch/csrc/distributed
copying torch/csrc/distributed/undef_macros.h -> torch/lib/include/torch/csrc/distributed
copying torch/csrc/distributed/Module.cpp -> torch/lib/include/torch/csrc/distributed
copying torch/csrc/distributed/override_macros.h -> torch/lib/include/torch/csrc/distributed
creating torch/lib/include/torch/csrc/distributed/c10d
copying torch/csrc/distributed/c10d/c10d.h -> torch/lib/include/torch/csrc/distributed/c10d
copying torch/csrc/distributed/c10d/init.cpp -> torch/lib/include/torch/csrc/distributed/c10d
copying torch/csrc/distributed/c10d/ddp.h -> torch/lib/include/torch/csrc/distributed/c10d
copying torch/csrc/serialization.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Device.h -> torch/lib/include/torch/csrc
creating torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/input_buffer.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/saved_variable.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/function.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/autograd.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/variable.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/profiler.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_engine.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_variable_indexing.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/engine.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_engine.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_function.cpp -> torch/lib/include/torch/csrc/autograd
creating torch/lib/include/torch/csrc/autograd/utils
copying torch/csrc/autograd/utils/wrap_outputs.h -> torch/lib/include/torch/csrc/autograd/utils
copying torch/csrc/autograd/utils/python_error_messages.h -> torch/lib/include/torch/csrc/autograd/utils
copying torch/csrc/autograd/utils/python_arg_parsing.h -> torch/lib/include/torch/csrc/autograd/utils
copying torch/csrc/autograd/saved_variable.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_hook.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_variable.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/grad_mode.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_cpp_function.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/variable_version.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/function.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_legacy_variable.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_variable_indexing.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/edge.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/init.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/variable.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/function_hook.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/engine.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_function.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/README.md -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/profiler.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/input_buffer.cpp -> torch/lib/include/torch/csrc/autograd
creating torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/accumulate_grad.h -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/utils.h -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/utils.cpp -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/basic_ops.h -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/init.cpp -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/basic_ops.cpp -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/pybind.h -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/tensor.h -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/accumulate_grad.cpp -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/tensor.cpp -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/comm.cpp -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/functions/comm.h -> torch/lib/include/torch/csrc/autograd/functions
copying torch/csrc/autograd/python_legacy_variable.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_hook.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/symbolic.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_cpp_function.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_variable.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/grad_mode.h -> torch/lib/include/torch/csrc/autograd
creating torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_functions.cpp -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_functions.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_nn_functions.cpp -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_variable_methods_dispatch.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/VariableType.cpp -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_nn_functions.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/VariableType.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_nn_functions_dispatch.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_variable_methods.cpp -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/Functions.cpp -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_torch_functions_dispatch.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/Functions.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/variable_factories.h -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/generated/python_torch_functions.cpp -> torch/lib/include/torch/csrc/autograd/generated
copying torch/csrc/autograd/input_metadata.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/type_and_shape.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/anomaly_mode.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_anomaly_mode.h -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/python_anomaly_mode.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/autograd/anomaly_mode.cpp -> torch/lib/include/torch/csrc/autograd
copying torch/csrc/Device.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Layout.h -> torch/lib/include/torch/csrc
copying torch/csrc/byte_order.h -> torch/lib/include/torch/csrc
copying torch/csrc/Size.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Module.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/PtrWrapper.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Storage.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/Module.h -> torch/lib/include/torch/csrc
copying torch/csrc/THP_API.h -> torch/lib/include/torch/csrc
copying torch/csrc/variable_tensor_functions.h -> torch/lib/include/torch/csrc
copying torch/csrc/PtrWrapper.h -> torch/lib/include/torch/csrc
copying torch/csrc/DataLoader.h -> torch/lib/include/torch/csrc
copying torch/csrc/DataLoader.cpp -> torch/lib/include/torch/csrc
copying torch/csrc/WindowsTorchApiMacro.h -> torch/lib/include/torch/csrc
creating torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/chrono.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/cast.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/pybind11.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/embed.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/pytypes.h -> torch/lib/include/pybind11
creating torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/detail/descr.h -> torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/detail/internals.h -> torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/detail/common.h -> torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/detail/init.h -> torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/detail/typeid.h -> torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/detail/class.h -> torch/lib/include/pybind11/detail
copying third_party/pybind11/include/pybind11/operators.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/stl_bind.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/complex.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/common.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/eigen.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/numpy.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/options.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/eval.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/stl.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/iostream.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/buffer_info.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/attr.h -> torch/lib/include/pybind11
copying third_party/pybind11/include/pybind11/functional.h -> torch/lib/include/pybind11
copying torch/csrc/torch.h -> torch/lib/include/torch
copying torch/op.h -> torch/lib/include/torch
running build
running build_py
running create_version_file
-- Building version 0.5.0a0+6993e4a
creating build/lib.linux-x86_64-3.6
creating build/lib.linux-x86_64-3.6/caffe2
copying caffe2/__init__.py -> build/lib.linux-x86_64-3.6/caffe2
creating build/lib.linux-x86_64-3.6/torch
copying torch/_torch_docs.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_six.py -> build/lib.linux-x86_64-3.6/torch
copying torch/__init__.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_utils.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_storage_docs.py -> build/lib.linux-x86_64-3.6/torch
copying torch/serialization.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_tensor_docs.py -> build/lib.linux-x86_64-3.6/torch
copying torch/functional.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_tensor_str.py -> build/lib.linux-x86_64-3.6/torch
copying torch/tensor.py -> build/lib.linux-x86_64-3.6/torch
copying torch/storage.py -> build/lib.linux-x86_64-3.6/torch
copying torch/random.py -> build/lib.linux-x86_64-3.6/torch
copying torch/version.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_ops.py -> build/lib.linux-x86_64-3.6/torch
copying torch/_utils_internal.py -> build/lib.linux-x86_64-3.6/torch
creating build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/db_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/dataio_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/net_builder.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/data_workers_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/embedding_generation_benchmark.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/python_op_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/workspace_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/optimizer_test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/ideep_test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/model_helper.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/hypothesis_test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/mkl_test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/tt_core.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/core.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/regularizer_context.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/device_checker.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/data_workers.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/data_parallel_model.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/schema_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/net_drawer.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/dataio.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/caffe_translator_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/hsm_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/data_parallel_model_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/context_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/visualize.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/session_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/gradient_check_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/crf.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/control_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/layer_parameter_sharing_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/memonger.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/attention.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/session.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/modifier_context.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/net_printer_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/control_ops_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/caffe_translator.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/regularizer.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/scope.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/layers_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/scope_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/convnet_benchmarks.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/brew.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/numa_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/experiment_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/predictor_constants.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/parallel_workers_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/parallel_workers.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/task.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/optimizer_context.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/net_builder_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/net_printer.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/convnet_benchmarks_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/pipeline_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/cached_reader.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/context.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/text_file_reader.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/extension_loader.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/rnn_cell.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/sparse_to_dense_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/parallelize_bmuf_distributed_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/functional.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/_import_c_extension.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/gradient_checker.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/checkpoint.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/build.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/layer_test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/regularizer_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/hypothesis_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/fused_8bit_rowwise_conversion_ops_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/core_gradients_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/model_device_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/cnn.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/core_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/workspace.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/muji.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/gru_cell.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/schema.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/dyndep.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/muji_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/toy_regression_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/layer_model_helper.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/sparse_to_dense_mask_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/benchmark_generator.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/brew_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/optimizer_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/control_ops_grad.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/binarysize.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/control.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/db_file_reader.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/tt_core_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/dataset.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/numa_benchmark.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/lengths_reducer_rowwise_8bit_ops_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/timeout_guard.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/queue_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/lengths_reducer_fused_8bit_rowwise_ops_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/memonger_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/record_queue.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/pipeline.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/observer_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/functional_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/checkpoint_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/allcompare_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/lstm_benchmark.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/transformations_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/utils.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/transformations.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/layer_model_instantiator.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/recurrent.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/optimizer.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/model_helper_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/normalizer.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/normalizer_test.py -> build/lib.linux-x86_64-3.6/caffe2/python
copying caffe2/python/normalizer_context.py -> build/lib.linux-x86_64-3.6/caffe2/python
creating build/lib.linux-x86_64-3.6/caffe2/contrib
copying caffe2/contrib/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/contrib
creating build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/hsm_pb2.py -> build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/caffe2_pb2.py -> build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/prof_dag_pb2.py -> build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/predictor_consts_pb2.py -> build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/metanet_pb2.py -> build/lib.linux-x86_64-3.6/caffe2/proto
copying caffe2/proto/caffe2_legacy_pb2.py -> build/lib.linux-x86_64-3.6/caffe2/proto
creating build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/semi_random_features.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/fc_without_bias.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/dropout.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/reservoir_sampling.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/arc_cosine_feature_map.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/uniform_sampling.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/adaptive_weight.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/concat.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/constant_weight.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/feature_sparse_to_dense.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/homotopy_weight.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/tags.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/batch_distill_lr_loss.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/merge_id_lists.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/fc.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/conv.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/last_n_window_collector.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/functional.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/label_smooth.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/batch_softmax_loss.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/random_fourier_features.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/layers.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/select_record_by_context.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/batch_normalization.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/position_weighted.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/sparse_lookup.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/batch_lr_loss.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/add_bias.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/batch_sigmoid_cross_entropy_loss.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/gather_record.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/batch_mse_loss.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/split.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/sampling_train.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/sampling_trainable_mixin.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/sparse_feature_hash.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/margin_rank_loss.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/build_index.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/pairwise_similarity.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/layer_normalization.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
copying caffe2/python/layers/blob_weighted_sum.py -> build/lib.linux-x86_64-3.6/caffe2/python/layers
creating build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/predictor_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/mobile_exporter.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/serde.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/predictor_exporter.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/predictor_exporter_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/mobile_exporter_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
copying caffe2/python/predictor/predictor_py_utils.py -> build/lib.linux-x86_64-3.6/caffe2/python/predictor
creating build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/frontend.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/error.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/backend_cpp_rep.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/backend_rep.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/workspace.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/backend.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/helper.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/test_onnxifi.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
copying caffe2/python/onnx/onnxifi.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx
creating build/lib.linux-x86_64-3.6/caffe2/python/trt
copying caffe2/python/trt/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/trt
copying caffe2/python/trt/test_trt.py -> build/lib.linux-x86_64-3.6/caffe2/python/trt
copying caffe2/python/trt/transform.py -> build/lib.linux-x86_64-3.6/caffe2/python/trt
creating build/lib.linux-x86_64-3.6/caffe2/python/models
copying caffe2/python/models/resnet_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/models
copying caffe2/python/models/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/models
copying caffe2/python/models/download.py -> build/lib.linux-x86_64-3.6/caffe2/python/models
copying caffe2/python/models/resnet.py -> build/lib.linux-x86_64-3.6/caffe2/python/models
copying caffe2/python/models/__sym_init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/models
creating build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/control_ops.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/dropout.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/tools.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/elementwise_linear.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/normalization.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/array_helpers.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/fc.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/conv.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/pooling.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/algebra.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/arg_scope.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/nonlinearity.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/db_input.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
copying caffe2/python/helpers/train.py -> build/lib.linux-x86_64-3.6/caffe2/python/helpers
creating build/lib.linux-x86_64-3.6/caffe2/python/rnn
copying caffe2/python/rnn/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/rnn
copying caffe2/python/rnn/lstm_comparison.py -> build/lib.linux-x86_64-3.6/caffe2/python/rnn
copying caffe2/python/rnn/rnn_cell_test_util.py -> build/lib.linux-x86_64-3.6/caffe2/python/rnn
creating build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/initializers.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/compute_histogram_for_blobs_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/initializers_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/compute_norm_for_blobs_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/gradient_clipping_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/parameter_sharing_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/compute_histogram_for_blobs.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/get_entry_from_blobs_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/parameter_info.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/get_entry_from_blobs.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/compute_norm_for_blobs.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/net_modifier.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/compute_statistics_for_blobs_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/parameter_sharing.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/gradient_clipping.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
copying caffe2/python/modeling/compute_statistics_for_blobs.py -> build/lib.linux-x86_64-3.6/caffe2/python/modeling
creating build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/conversion_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/onnx_backend_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/test_utils.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/ssa_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/helper_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
copying caffe2/python/onnx/tests/c2_ref_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests
creating build/lib.linux-x86_64-3.6/caffe2/python/onnx/bin
copying caffe2/python/onnx/bin/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/bin
copying caffe2/python/onnx/bin/conversion.py -> build/lib.linux-x86_64-3.6/caffe2/python/onnx/bin
creating build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/seq2seq_beam_search_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/beam_search.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/seq2seq_model_helper.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/seq2seq_model_helper_test.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/seq2seq_util.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/train.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
copying caffe2/python/models/seq2seq/translate.py -> build/lib.linux-x86_64-3.6/caffe2/python/models/seq2seq
creating build/lib.linux-x86_64-3.6/caffe2/contrib/tensorboard
copying caffe2/contrib/tensorboard/tensorboard_test.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/tensorboard
copying caffe2/contrib/tensorboard/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/tensorboard
copying caffe2/contrib/tensorboard/tensorboard_exporter.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/tensorboard
copying caffe2/contrib/tensorboard/tensorboard.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/tensorboard
copying caffe2/contrib/tensorboard/tensorboard_exporter_test.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/tensorboard
creating build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/compute_topk_accuracy.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/AnyExpOnTerm.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/ModuleRegister.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/compute_loss.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/meter.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/checkpoint.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/module_map.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/output_generator.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
copying caffe2/contrib/playground/AnyExp.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground
creating build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/override_no_test_model_no_checkpoint.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/rendezvous_filestore.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/__init__.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_param_update.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/IN1k_resnet_no_test_model.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/gfs_IN1k.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_forward.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/IN1k_resnet.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/explicit_resnet_forward.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
copying caffe2/contrib/playground/resnetdemo/explicit_resnet_param_update.py -> build/lib.linux-x86_64-3.6/caffe2/contrib/playground/resnetdemo
creating build/lib.linux-x86_64-3.6/torch/nn
copying torch/nn/parameter.py -> build/lib.linux-x86_64-3.6/torch/nn
copying torch/nn/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn
copying torch/nn/init.py -> build/lib.linux-x86_64-3.6/torch/nn
copying torch/nn/functional.py -> build/lib.linux-x86_64-3.6/torch/nn
copying torch/nn/grad.py -> build/lib.linux-x86_64-3.6/torch/nn
creating build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/adadelta.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/asgd.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/sparse_adam.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/__init__.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/adamax.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/lbfgs.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/lr_scheduler.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/sgd.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/rmsprop.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/adam.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/adagrad.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/rprop.py -> build/lib.linux-x86_64-3.6/torch/optim
copying torch/optim/optimizer.py -> build/lib.linux-x86_64-3.6/torch/optim
creating build/lib.linux-x86_64-3.6/torch/sparse
copying torch/sparse/__init__.py -> build/lib.linux-x86_64-3.6/torch/sparse
creating build/lib.linux-x86_64-3.6/torch/onnx
copying torch/onnx/operators.py -> build/lib.linux-x86_64-3.6/torch/onnx
copying torch/onnx/__init__.py -> build/lib.linux-x86_64-3.6/torch/onnx
copying torch/onnx/symbolic.py -> build/lib.linux-x86_64-3.6/torch/onnx
copying torch/onnx/utils.py -> build/lib.linux-x86_64-3.6/torch/onnx
creating build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/hooks.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/cpp_extension.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/model_zoo.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/checkpoint.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/dlpack.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/file_baton.py -> build/lib.linux-x86_64-3.6/torch/utils
copying torch/utils/collect_env.py -> build/lib.linux-x86_64-3.6/torch/utils
creating build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/streams.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/__init__.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/nccl.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/comm.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/profiler.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/nvtx.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/error.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/sparse.py -> build/lib.linux-x86_64-3.6/torch/cuda
copying torch/cuda/random.py -> build/lib.linux-x86_64-3.6/torch/cuda
creating build/lib.linux-x86_64-3.6/torch/jit
copying torch/jit/frontend.py -> build/lib.linux-x86_64-3.6/torch/jit
copying torch/jit/__init__.py -> build/lib.linux-x86_64-3.6/torch/jit
copying torch/jit/annotations.py -> build/lib.linux-x86_64-3.6/torch/jit
copying torch/jit/batchop.py -> build/lib.linux-x86_64-3.6/torch/jit
creating build/lib.linux-x86_64-3.6/torch/contrib
copying torch/contrib/__init__.py -> build/lib.linux-x86_64-3.6/torch/contrib
copying torch/contrib/_graph_vis.py -> build/lib.linux-x86_64-3.6/torch/contrib
copying torch/contrib/_tensorboard_vis.py -> build/lib.linux-x86_64-3.6/torch/contrib
creating build/lib.linux-x86_64-3.6/torch/testing
copying torch/testing/__init__.py -> build/lib.linux-x86_64-3.6/torch/testing
creating build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/dirichlet.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/distribution.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/kl.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/laplace.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/exp_family.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/independent.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/geometric.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/log_normal.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/__init__.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/one_hot_categorical.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/fishersnedecor.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/constraints.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/uniform.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/pareto.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/cauchy.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/transformed_distribution.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/poisson.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/multinomial.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/categorical.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/gumbel.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/normal.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/bernoulli.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/relaxed_categorical.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/transforms.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/logistic_normal.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/exponential.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/constraint_registry.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/binomial.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/chi2.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/relaxed_bernoulli.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/gamma.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/multivariate_normal.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/beta.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/utils.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/studentT.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/lowrank_multivariate_normal.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/negative_binomial.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/weibull.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/half_cauchy.py -> build/lib.linux-x86_64-3.6/torch/distributions
copying torch/distributions/half_normal.py -> build/lib.linux-x86_64-3.6/torch/distributions
creating build/lib.linux-x86_64-3.6/torch/multiprocessing
copying torch/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.6/torch/multiprocessing
copying torch/multiprocessing/pool.py -> build/lib.linux-x86_64-3.6/torch/multiprocessing
copying torch/multiprocessing/reductions.py -> build/lib.linux-x86_64-3.6/torch/multiprocessing
copying torch/multiprocessing/queue.py -> build/lib.linux-x86_64-3.6/torch/multiprocessing
creating build/lib.linux-x86_64-3.6/torch/distributed
copying torch/distributed/launch.py -> build/lib.linux-x86_64-3.6/torch/distributed
copying torch/distributed/__init__.py -> build/lib.linux-x86_64-3.6/torch/distributed
copying torch/distributed/remote_types.py -> build/lib.linux-x86_64-3.6/torch/distributed
creating build/lib.linux-x86_64-3.6/torch/for_onnx
copying torch/for_onnx/__init__.py -> build/lib.linux-x86_64-3.6/torch/for_onnx
creating build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/__init__.py -> build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/grad_mode.py -> build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/profiler.py -> build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/function.py -> build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/gradcheck.py -> build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/variable.py -> build/lib.linux-x86_64-3.6/torch/autograd
copying torch/autograd/anomaly_mode.py -> build/lib.linux-x86_64-3.6/torch/autograd
creating build/lib.linux-x86_64-3.6/torch/backends
copying torch/backends/__init__.py -> build/lib.linux-x86_64-3.6/torch/backends
creating build/lib.linux-x86_64-3.6/torch/legacy
copying torch/legacy/__init__.py -> build/lib.linux-x86_64-3.6/torch/legacy
creating build/lib.linux-x86_64-3.6/torch/_thnn
copying torch/_thnn/__init__.py -> build/lib.linux-x86_64-3.6/torch/_thnn
copying torch/_thnn/utils.py -> build/lib.linux-x86_64-3.6/torch/_thnn
creating build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/replicate.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/scatter_gather.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/parallel_apply.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/data_parallel.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/distributed.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/distributed_cpu.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/_functions.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
copying torch/nn/parallel/distributed_c10d.py -> build/lib.linux-x86_64-3.6/torch/nn/parallel
creating build/lib.linux-x86_64-3.6/torch/nn/utils
copying torch/nn/utils/rnn.py -> build/lib.linux-x86_64-3.6/torch/nn/utils
copying torch/nn/utils/convert_parameters.py -> build/lib.linux-x86_64-3.6/torch/nn/utils
copying torch/nn/utils/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn/utils
copying torch/nn/utils/spectral_norm.py -> build/lib.linux-x86_64-3.6/torch/nn/utils
copying torch/nn/utils/weight_norm.py -> build/lib.linux-x86_64-3.6/torch/nn/utils
copying torch/nn/utils/clip_grad.py -> build/lib.linux-x86_64-3.6/torch/nn/utils
creating build/lib.linux-x86_64-3.6/torch/nn/_functions
copying torch/nn/_functions/rnn.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions
copying torch/nn/_functions/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions
copying torch/nn/_functions/padding.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions
copying torch/nn/_functions/vision.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions
copying torch/nn/_functions/packing.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions
creating build/lib.linux-x86_64-3.6/torch/nn/backends
copying torch/nn/backends/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn/backends
copying torch/nn/backends/thnn.py -> build/lib.linux-x86_64-3.6/torch/nn/backends
copying torch/nn/backends/backend.py -> build/lib.linux-x86_64-3.6/torch/nn/backends
creating build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/rnn.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/dropout.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/upsampling.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/activation.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/pixelshuffle.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/normalization.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/loss.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/padding.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/instancenorm.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/fold.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/conv.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/pooling.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/container.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/module.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/distance.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/batchnorm.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/linear.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/sparse.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/utils.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
copying torch/nn/modules/adaptive.py -> build/lib.linux-x86_64-3.6/torch/nn/modules
creating build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/auto_double_backwards.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/auto.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/__init__.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/normalization.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/fold.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/auto_symbolic.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
copying torch/nn/_functions/thnn/sparse.py -> build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn
creating build/lib.linux-x86_64-3.6/torch/utils/serialization
copying torch/utils/serialization/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/serialization
copying torch/utils/serialization/read_lua_file.py -> build/lib.linux-x86_64-3.6/torch/utils/serialization
creating build/lib.linux-x86_64-3.6/torch/utils/ffi
copying torch/utils/ffi/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/ffi
creating build/lib.linux-x86_64-3.6/torch/utils/bottleneck
copying torch/utils/bottleneck/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/bottleneck
copying torch/utils/bottleneck/__main__.py -> build/lib.linux-x86_64-3.6/torch/utils/bottleneck
creating build/lib.linux-x86_64-3.6/torch/utils/backcompat
copying torch/utils/backcompat/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/backcompat
creating build/lib.linux-x86_64-3.6/torch/utils/data
copying torch/utils/data/dataloader.py -> build/lib.linux-x86_64-3.6/torch/utils/data
copying torch/utils/data/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/data
copying torch/utils/data/distributed.py -> build/lib.linux-x86_64-3.6/torch/utils/data
copying torch/utils/data/dataset.py -> build/lib.linux-x86_64-3.6/torch/utils/data
copying torch/utils/data/sampler.py -> build/lib.linux-x86_64-3.6/torch/utils/data
creating build/lib.linux-x86_64-3.6/torch/utils/trainer
copying torch/utils/trainer/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer
copying torch/utils/trainer/trainer.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer
creating build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/__init__.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/progress.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/accuracy.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/loss.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/time.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/monitor.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/logger.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
copying torch/utils/trainer/plugins/plugin.py -> build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins
creating build/lib.linux-x86_64-3.6/torch/distributed/c10d
copying torch/distributed/c10d/rendezvous.py -> build/lib.linux-x86_64-3.6/torch/distributed/c10d
copying torch/distributed/c10d/__init__.py -> build/lib.linux-x86_64-3.6/torch/distributed/c10d
creating build/lib.linux-x86_64-3.6/torch/autograd/_functions
copying torch/autograd/_functions/__init__.py -> build/lib.linux-x86_64-3.6/torch/autograd/_functions
copying torch/autograd/_functions/tensor.py -> build/lib.linux-x86_64-3.6/torch/autograd/_functions
copying torch/autograd/_functions/utils.py -> build/lib.linux-x86_64-3.6/torch/autograd/_functions
creating build/lib.linux-x86_64-3.6/torch/backends/cudnn
copying torch/backends/cudnn/rnn.py -> build/lib.linux-x86_64-3.6/torch/backends/cudnn
copying torch/backends/cudnn/__init__.py -> build/lib.linux-x86_64-3.6/torch/backends/cudnn
creating build/lib.linux-x86_64-3.6/torch/backends/mkl
copying torch/backends/mkl/__init__.py -> build/lib.linux-x86_64-3.6/torch/backends/mkl
creating build/lib.linux-x86_64-3.6/torch/backends/cuda
copying torch/backends/cuda/__init__.py -> build/lib.linux-x86_64-3.6/torch/backends/cuda
creating build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialDilatedConvolution.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Padding.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricMaxPooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Dropout.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SplitTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ParallelTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/LogSigmoid.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Transpose.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialMaxUnpooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Max.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ConcatTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CDivTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Sqrt.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/AddConstant.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/JoinTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Normalize.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Clamp.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/LookupTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/PairwiseDistance.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/TemporalMaxPooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/RReLU.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Square.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Module.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricDropout.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/TemporalConvolution.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Threshold.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialConvolutionMap.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricReplicationPadding.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialSubSampling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ReLU.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Tanh.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialDivisiveNormalization.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/__init__.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricMaxUnpooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialConvolutionLocal.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricFullConvolution.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CMul.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SoftMax.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Unsqueeze.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricConvolution.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/HingeEmbeddingCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialBatchNormalization.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Cosine.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialAdaptiveMaxPooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Criterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Sequential.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialClassNLLCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricBatchNormalization.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MultiLabelSoftMarginCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/View.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/HardTanh.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Narrow.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ParallelCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SoftMarginCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CSubTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Mean.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MarginRankingCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/TanhShrink.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/VolumetricAveragePooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialUpSamplingNearest.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CosineDistance.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Reshape.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/TemporalSubSampling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Contiguous.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialSoftMax.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/BatchNormalization.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/GradientReversal.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ReLU6.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/AbsCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/LogSoftMax.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/L1HingeEmbeddingCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Power.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Copy.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Add.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialFullConvolutionMap.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MultiCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialConvolution.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialZeroPadding.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/NarrowTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialSubtractiveNormalization.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/WeightedMSECriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/LeakyReLU.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Exp.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/PReLU.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/FlattenTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SelectTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/HardShrink.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SoftMin.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialCrossMapLRN.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MV.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialMaxPooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialContrastiveNormalization.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ClassNLLCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CMulTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Select.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Abs.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Squeeze.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/L1Cost.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SoftSign.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ClassSimplexCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MultiMarginCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CosineEmbeddingCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CriterionTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/L1Penalty.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MSECriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SoftShrink.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/PartialLinear.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Replicate.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MaskedSelect.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MultiLabelMarginCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Identity.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialLPPooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialFullConvolution.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialFractionalMaxPooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialDropout.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Sigmoid.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MarginCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Container.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Sum.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Min.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/ELU.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Bilinear.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SoftPlus.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/DistKLDivCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/DepthConcat.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialAveragePooling.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MulConstant.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialReflectionPadding.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Concat.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Log.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SpatialReplicationPadding.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/WeightedEuclidean.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CrossEntropyCriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/SmoothL1Criterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/utils.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MixtureTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/CAddTable.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Euclidean.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Mul.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/BCECriterion.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Parallel.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/DotProduct.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Linear.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/MM.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
copying torch/legacy/nn/Index.py -> build/lib.linux-x86_64-3.6/torch/legacy/nn
creating build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/adadelta.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/asgd.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/__init__.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/cg.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/adamax.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/lbfgs.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/sgd.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/rmsprop.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/nag.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/adam.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/adagrad.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
copying torch/legacy/optim/rprop.py -> build/lib.linux-x86_64-3.6/torch/legacy/optim
creating build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libcaffe2_detectron_ops_gpu.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libcaffe2.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libcaffe2_observers.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libtorch.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libtorch.so.1 -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libshm.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libonnxifi_dummy.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/libcaffe2_gpu.so -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/torch_shm_manager -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/THCUNN.h -> build/lib.linux-x86_64-3.6/torch/lib
copying torch/lib/THNN.h -> build/lib.linux-x86_64-3.6/torch/lib
creating build/lib.linux-x86_64-3.6/torch/lib/include
creating build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDADoubleType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAStream.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorOperators.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDAShortType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUHalfType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorMethods.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/InferSize.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPUByteType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDAByteType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/DLConvertor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/div_rtn.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/ArrayRef.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAGenerator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDADoubleType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Parallel.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDACharType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDALongType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/OptionsGuard.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Context.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/DimVector.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Scalar.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUDoubleType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUByteType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Formatting.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPULongType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/ATen.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDAFloatType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Half.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPULongType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseTensorImpl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Allocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/StorageImpl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAGuard.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/ScalarTypeUtils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/WrapDimUtilsMulti.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/dlpack.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseTensorRef.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorAccessor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Registry.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCUDAIntType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Utils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Generator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUFloatType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorImpl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUFixedAllocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/WrapDimUtils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/MatrixRef.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CheckGenerator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Backtrace.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDALongType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAIntType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAShortType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Config.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/optional.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUShortType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Retainable.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorBase.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/AccumulateType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/NativeFunctions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Dispatch.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUGeneral.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Storage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorOptions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Type.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPUShortType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/ExpandUtils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorGeometry.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAFloatType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUGenerator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/UndefinedType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Device.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Layout.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUCharType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAHalfType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Tensor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/TensorUtils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPUIntType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/ScalarType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SmallVector.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDACharType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CUDAByteType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUIntType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPUFloatType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/UndefinedTensor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/RegisterCUDA.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/CPUApplyUtils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Functions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Error.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPUDoubleType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/Backend.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/DeviceGuard.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
copying torch/lib/include/ATen/SparseCPUCharType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen
creating build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/ATenGeneral.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Reduction.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/ArrayRef.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/IdWrapper.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Half.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/DeviceType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Deprecated.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Generator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/TensorTypeIdRegistration.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/UniqueVoidPtr.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Backtrace.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/optional.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/C++17.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/TensorTypeId.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/ATenCoreTest.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/AlignOf.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Layout.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/typeid.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/ScalarType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Half-inl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/SmallVector.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Error.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Backend.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/intrusive_ptr.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
copying torch/lib/include/ATen/core/Macros.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core
creating build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail
copying torch/lib/include/ATen/detail/VariableHooksInterface.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail
copying torch/lib/include/ATen/detail/ScalarTypeConversions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail
copying torch/lib/include/ATen/detail/CUDAHooksInterface.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail
copying torch/lib/include/ATen/detail/FunctionTraits.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail
creating build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAStream.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/Exceptions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAEvent.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAContext.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAGuard.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/PinnedMemoryAllocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/ATenCUDAGeneral.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAConfig.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDATensorMethods.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAApplyUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
copying torch/lib/include/ATen/cuda/CUDAHalf.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda
creating build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail
copying torch/lib/include/ATen/cuda/detail/CUDAHooks.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail
copying torch/lib/include/ATen/cuda/detail/KernelUtils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail
creating build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/Exceptions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/Descriptors.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/Types.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/Utils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/Handles.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/cudnn-wrapper.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cudnn/Handle.h -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn
copying torch/lib/include/ATen/cuda/detail/OffsetCalculator.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail
copying torch/lib/include/ATen/cuda/detail/TensorInfo.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail
copying torch/lib/include/ATen/cuda/detail/IndexUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail
creating build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/chrono.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/cast.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/pybind11.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/embed.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/pytypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/operators.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/stl_bind.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/complex.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/common.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/eigen.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/numpy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/options.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/eval.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/stl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/iostream.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/buffer_info.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/attr.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
copying torch/lib/include/pybind11/functional.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11
creating build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
copying torch/lib/include/pybind11/detail/descr.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
copying torch/lib/include/pybind11/detail/internals.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
copying torch/lib/include/pybind11/detail/common.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
copying torch/lib/include/pybind11/detail/init.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
copying torch/lib/include/pybind11/detail/typeid.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
copying torch/lib/include/pybind11/detail/class.h -> build/lib.linux-x86_64-3.6/torch/lib/include/pybind11/detail
creating build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THHalf.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THAllocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGeneral.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/TH.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateDoubleType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateCharType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THTensor.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateIntTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THMath.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THFilePrivate.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateFloatTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THStorageFunctions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THTensorDimApply.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THVector.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THSize.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THBlas.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THStorage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THStorageFunctions.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THMemoryFile.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THLapack.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateIntType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateShortType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THLogAdd.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateByteType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateHalfType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateAllTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateFloatType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THFile.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THTypeConversion.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THDiskFile.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerateLongType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THRandom.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THTensorApply.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THTensor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
copying torch/lib/include/TH/THGenerator.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/TH
creating build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THStorageCopy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorConv.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorLapack.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensor.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THVector.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THBlas.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THStorage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THLapack.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorRandom.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorCopy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorMath.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
copying torch/lib/include/TH/generic/THTensorFastGetSet.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic
creating build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCBlas.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateLongType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorCopy.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateFloatType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerator.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCCachingHostAllocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCHalf.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorCopy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateDoubleType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCCachingAllocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateIntType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorMath.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THC.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCStorage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateAllTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateFloatTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCStream.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCAllocator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorRandom.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCSleep.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCStorageCopy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateShortType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGeneral.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateHalfType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateCharType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGenerateByteType.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCStorage.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensor.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCGeneral.hpp -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCIntegerDivider.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCDeviceTensorUtils-inl.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCDeviceUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorSort.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCAtomics.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCDeviceTensorUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorRandom.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorMathPointwise.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCReduceApplyUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorTopK.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorMode.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorMathReduce.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCSortUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCScanUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCNumerics.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCDeviceTensor-inl.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorInfo.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCAsmUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCDeviceTensor.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorTypeUtils.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCApply.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCReduceAll.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCTensorMathMagma.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCThrustAllocator.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
copying torch/lib/include/THC/THCReduce.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THC
creating build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathCompare.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathPairwise.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathCompareT.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathPointwise.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorCopy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathScan.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathMagma.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMath.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCStorage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathBlas.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorRandom.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMasked.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMode.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCStorageCopy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorTopK.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorSort.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorMathReduce.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorScatterGather.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensorIndex.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
copying torch/lib/include/THC/generic/THCTensor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic
creating build/lib.linux-x86_64-3.6/torch/lib/include/THCUNN
copying torch/lib/include/THCUNN/THCHalfAutoNumerics.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THCUNN
copying torch/lib/include/THCUNN/SharedMem.cuh -> build/lib.linux-x86_64-3.6/torch/lib/include/THCUNN
creating build/lib.linux-x86_64-3.6/torch/lib/include/torch
creating build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/torch.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/python_headers.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Exceptions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/copy_utils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/utils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/serialization.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Types.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/THP.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/PythonTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Size.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Generator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/THP_export.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Dtype.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/DynamicTypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Storage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Device.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Layout.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/byte_order.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/WindowsTorchApiMacro.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/Module.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/THP_API.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/variable_tensor_functions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/PtrWrapper.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
copying torch/lib/include/torch/csrc/DataLoader.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc
creating build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/input_buffer.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/input_metadata.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/saved_variable.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/function.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_anomaly_mode.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/autograd.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/variable.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/type_and_shape.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_engine.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_variable_indexing.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/anomaly_mode.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_variable.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/variable_version.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_legacy_variable.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/edge.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/function_hook.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/engine.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_function.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/profiler.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_hook.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/symbolic.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/python_cpp_function.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
copying torch/lib/include/torch/csrc/autograd/grad_mode.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd
creating build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/autodiff.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/python_ir.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/interned_strings_class.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/custom_operator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/source_range.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/import.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/serialization.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/source_location.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/export.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/variable_tensor_list.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/fusion_compiler.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/python_arg_flatten.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/interpreter.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/pybind_utils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/function_schema.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/interned_strings.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/generic_if.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/tracer.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/argument_spec.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/python_tracer.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/symbolic_variable.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/graph_executor.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/code_template.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/resource_guard.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/ir.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/pybind.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/init.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/stack.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/operator.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/attributes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/named_value.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/ivalue.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/constants.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/assertions.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/graph_node_list.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
copying torch/lib/include/torch/csrc/jit/type.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit
creating build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/disallow_copy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/variadic.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_scalars.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_stub.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/auto_gil.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_types.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_numbers.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_flatten.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_conversion_dispatch.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_compat.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_layouts.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_apply.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tuple_parser.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_strings.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/cuda_enabled.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_dtypes.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_tuples.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/hash.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/memory.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_new.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/invalid_arguments.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_numpy.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/pybind.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/tensor_list.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/python_arg_parser.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/object_ptr.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/cuda_lazy_init.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/numpy_stub.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
copying torch/lib/include/torch/csrc/utils/functional.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils
creating build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/utils.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/serialization.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/device_set.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/undef_macros.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/THCP.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/restore_macros.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/cuda_check.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/python_comm.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/Stream.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/nccl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/Storage.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/python_nccl.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/Module.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/comm.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/csrc/cuda/override_macros.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda
copying torch/lib/include/torch/torch.h -> build/lib.linux-x86_64-3.6/torch/lib/include/torch
running build_ext
-- Building with NumPy bindings
-- Detected cuDNN at /usr/lib/x86_64-linux-gnu/libcudnn.so.7, /usr/include/
-- Not using MIOpen
-- Detected CUDA at /usr/local/cuda
-- Not using MKLDNN
-- Using system provided NCCL library at /usr/lib/x86_64-linux-gnu/libnccl.so.2.2.13, /usr/include
-- Building with distributed package 
Skipped writing torch/csrc/nn/THNN.cpp
Skipped writing torch/csrc/nn/THCUNN.cpp
Skipped writing torch/csrc/autograd/generated/VariableType.h
Skipped writing torch/csrc/autograd/generated/VariableType.cpp
Skipped writing torch/csrc/autograd/generated/Functions.h
Skipped writing torch/csrc/autograd/generated/Functions.cpp
Skipped writing torch/csrc/autograd/generated/python_functions.h
Skipped writing torch/csrc/autograd/generated/python_functions.cpp
Skipped writing torch/csrc/autograd/generated/python_variable_methods.cpp
Skipped writing torch/csrc/autograd/generated/python_variable_methods_dispatch.h
Skipped writing torch/csrc/autograd/generated/python_torch_functions.cpp
Skipped writing torch/csrc/autograd/generated/python_torch_functions_dispatch.h
Skipped writing torch/csrc/autograd/generated/python_nn_functions.cpp
Skipped writing torch/csrc/autograd/generated/python_nn_functions.h
Skipped writing torch/csrc/autograd/generated/python_nn_functions_dispatch.h
Skipped writing torch/csrc/autograd/generated/variable_factories.h
Skipped writing torch/csrc/jit/generated/register_aten_ops.cpp
Skipped writing torch/csrc/jit/generated/aten_interned_strings.h
copying /root/pytorch/torch/lib/tmp_install/lib/python3.6/site-packages/caffe2/python/caffe2_pybind11_state.cpython-36m-x86_64-linux-gnu.so -> /root/pytorch/build/lib.linux-x86_64-3.6/caffe2/python
copying /root/pytorch/torch/lib/tmp_install/lib/python3.6/site-packages/caffe2/python/caffe2_pybind11_state_gpu.cpython-36m-x86_64-linux-gnu.so -> /root/pytorch/build/lib.linux-x86_64-3.6/caffe2/python
building 'torch._C' extension
creating build/temp.linux-x86_64-3.6
creating build/temp.linux-x86_64-3.6/torch
creating build/temp.linux-x86_64-3.6/torch/csrc
creating build/temp.linux-x86_64-3.6/torch/csrc/autograd
creating build/temp.linux-x86_64-3.6/torch/csrc/autograd/functions
creating build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated
creating build/temp.linux-x86_64-3.6/torch/csrc/jit
creating build/temp.linux-x86_64-3.6/torch/csrc/jit/batched
creating build/temp.linux-x86_64-3.6/torch/csrc/jit/passes
creating build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx
creating build/temp.linux-x86_64-3.6/torch/csrc/jit/script
creating build/temp.linux-x86_64-3.6/torch/csrc/nn
creating build/temp.linux-x86_64-3.6/torch/csrc/onnx
creating build/temp.linux-x86_64-3.6/torch/csrc/tensor
creating build/temp.linux-x86_64-3.6/torch/csrc/utils
creating build/temp.linux-x86_64-3.6/torch/csrc/distributed
creating build/temp.linux-x86_64-3.6/torch/csrc/distributed/c10d
creating build/temp.linux-x86_64-3.6/torch/csrc/cuda
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/DataLoader.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/DataLoader.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Dtype.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Dtype.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Exceptions.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Exceptions.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Layout.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Layout.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/PtrWrapper.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/PtrWrapper.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_function.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_function.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_legacy_variable.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_legacy_variable.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Storage.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Storage.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_cpp_function.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_cpp_function.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/generated/python_torch_functions.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_torch_functions.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/generated/python_functions.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_functions.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Module.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Module.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Device.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Device.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Size.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Size.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/DynamicTypes.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/DynamicTypes.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_variable.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_variable.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/generated/python_nn_functions.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_nn_functions.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_engine.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_engine.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/Generator.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/Generator.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_variable_indexing.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_variable_indexing.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/batched/BatchTensor.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/batched/BatchTensor.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/ivalue.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/ivalue.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/passes/onnx/fixup_onnx_loop.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx/fixup_onnx_loop.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/passes/onnx.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_hook.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_hook.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/passes/to_batch.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/to_batch.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/byte_order.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/byte_order.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/python_interpreter.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_interpreter.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/python_tracer.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_tracer.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/passes/onnx/peephole.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx/peephole.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/script/lexer.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/lexer.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/python_anomaly_mode.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_anomaly_mode.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/script/python_tree_views.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/python_tree_views.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/onnx/init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/onnx/init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/script/module.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/module.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/tensor/python_tensor.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/tensor/python_tensor.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/cuda_lazy_init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/cuda_lazy_init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/invalid_arguments.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/invalid_arguments.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/functions/init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/functions/init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/object_ptr.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/object_ptr.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_apply.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_apply.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/python_arg_parser.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/python_arg_parser.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_dtypes.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_dtypes.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/python_ir.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_ir.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_conversion_dispatch.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_conversion_dispatch.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_layouts.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_layouts.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_flatten.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_flatten.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/python_arg_flatten.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_arg_flatten.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/serialization.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/serialization.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_list.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_list.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_new.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_new.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_types.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_types.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/jit/script/init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/distributed/Module.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/distributed/Module.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/Module.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/Module.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/Stream.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/Stream.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tuple_parser.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tuple_parser.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/comm.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/comm.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/utils.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/utils.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/serialization.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/serialization.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/utils/tensor_numpy.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_numpy.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/distributed/c10d/init.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/distributed/c10d/init.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/nccl.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/nccl.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/python_comm.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/python_comm.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/nn/THCUNN.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/nn/THCUNN.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/nn/THNN.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/nn/THNN.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/python_nccl.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/python_nccl.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/cuda/Storage.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/cuda/Storage.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/autograd/generated/python_variable_methods.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_variable_methods.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
warning: no library file corresponding to '/usr/lib/x86_64-linux-gnu/libcudnn.so.7' found (skipping)
gcc -pthread -shared -L/root/.pyenv/versions/3.6.5/lib -Wl,-rpath=/root/.pyenv/versions/3.6.5/lib -L/root/.pyenv/versions/3.6.5/lib -Wl,-rpath=/root/.pyenv/versions/3.6.5/lib build/temp.linux-x86_64-3.6/torch/csrc/DataLoader.o build/temp.linux-x86_64-3.6/torch/csrc/Device.o build/temp.linux-x86_64-3.6/torch/csrc/Dtype.o build/temp.linux-x86_64-3.6/torch/csrc/DynamicTypes.o build/temp.linux-x86_64-3.6/torch/csrc/Exceptions.o build/temp.linux-x86_64-3.6/torch/csrc/Generator.o build/temp.linux-x86_64-3.6/torch/csrc/Layout.o build/temp.linux-x86_64-3.6/torch/csrc/Module.o build/temp.linux-x86_64-3.6/torch/csrc/PtrWrapper.o build/temp.linux-x86_64-3.6/torch/csrc/Size.o build/temp.linux-x86_64-3.6/torch/csrc/Storage.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/functions/init.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_functions.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_nn_functions.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_torch_functions.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/generated/python_variable_methods.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/init.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_anomaly_mode.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_cpp_function.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_engine.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_function.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_hook.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_legacy_variable.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_variable.o build/temp.linux-x86_64-3.6/torch/csrc/autograd/python_variable_indexing.o build/temp.linux-x86_64-3.6/torch/csrc/byte_order.o build/temp.linux-x86_64-3.6/torch/csrc/jit/batched/BatchTensor.o build/temp.linux-x86_64-3.6/torch/csrc/jit/init.o build/temp.linux-x86_64-3.6/torch/csrc/jit/ivalue.o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx.o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx/fixup_onnx_loop.o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/onnx/peephole.o build/temp.linux-x86_64-3.6/torch/csrc/jit/passes/to_batch.o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_arg_flatten.o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_interpreter.o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_ir.o build/temp.linux-x86_64-3.6/torch/csrc/jit/python_tracer.o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/init.o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/lexer.o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/module.o build/temp.linux-x86_64-3.6/torch/csrc/jit/script/python_tree_views.o build/temp.linux-x86_64-3.6/torch/csrc/nn/THNN.o build/temp.linux-x86_64-3.6/torch/csrc/onnx/init.o build/temp.linux-x86_64-3.6/torch/csrc/serialization.o build/temp.linux-x86_64-3.6/torch/csrc/tensor/python_tensor.o build/temp.linux-x86_64-3.6/torch/csrc/utils.o build/temp.linux-x86_64-3.6/torch/csrc/utils/cuda_lazy_init.o build/temp.linux-x86_64-3.6/torch/csrc/utils/invalid_arguments.o build/temp.linux-x86_64-3.6/torch/csrc/utils/object_ptr.o build/temp.linux-x86_64-3.6/torch/csrc/utils/python_arg_parser.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_apply.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_conversion_dispatch.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_dtypes.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_flatten.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_layouts.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_list.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_new.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_numpy.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tensor_types.o build/temp.linux-x86_64-3.6/torch/csrc/utils/tuple_parser.o build/temp.linux-x86_64-3.6/torch/csrc/distributed/Module.o build/temp.linux-x86_64-3.6/torch/csrc/distributed/c10d/init.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/Module.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/Storage.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/Stream.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/utils.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/comm.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/python_comm.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/serialization.o build/temp.linux-x86_64-3.6/torch/csrc/nn/THCUNN.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/nccl.o build/temp.linux-x86_64-3.6/torch/csrc/cuda/python_nccl.o -L/root/pytorch/torch/lib -L/usr/local/cuda/lib64 -L/root/.pyenv/versions/3.6.5/lib -lshm -lcudart -lnvToolsExt -lpython3.6m -o build/lib.linux-x86_64-3.6/torch/_C.cpython-36m-x86_64-linux-gnu.so -Wl,-rpath,/usr/lib/x86_64-linux-gnu/ -Wl,-rpath,/usr/local/cuda/lib64 /root/pytorch/torch/lib/libcaffe2.so -Wl,--no-as-needed /root/pytorch/torch/lib/libcaffe2_gpu.so -Wl,--as-needed /root/pytorch/torch/lib/libprotobuf-nanopb.a /root/pytorch/torch/lib/libprotobuf.a /root/pytorch/torch/lib/libtorch.so /root/pytorch/torch/lib/libTHD.a /root/pytorch/torch/lib/libc10d.a /usr/lib/x86_64-linux-gnu/libnccl.so.2.2.13 -Wl,-rpath,$ORIGIN/lib /root/pytorch/torch/lib/tmp_install/lib/libcaffe2.so /usr/local/lib/libmpi.so /root/pytorch/torch/lib/tmp_install/lib/libgloo_cuda.a /root/pytorch/torch/lib/tmp_install/lib/libgloo.a
building 'torch._dl' extension
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/dl.c -o build/temp.linux-x86_64-3.6/torch/csrc/dl.o
gcc -pthread -shared -L/root/.pyenv/versions/3.6.5/lib -Wl,-rpath=/root/.pyenv/versions/3.6.5/lib -L/root/.pyenv/versions/3.6.5/lib -Wl,-rpath=/root/.pyenv/versions/3.6.5/lib build/temp.linux-x86_64-3.6/torch/csrc/dl.o -L/root/.pyenv/versions/3.6.5/lib -lpython3.6m -o build/lib.linux-x86_64-3.6/torch/_dl.cpython-36m-x86_64-linux-gnu.so
building 'torch._nvrtc' extension
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -O2 -O2 -fPIC -I/usr/include/ -I/root/pytorch -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/THNN -I/root/pytorch/torch/lib/tmp_install/include/ATen -I/root/pytorch/third_party/pybind11/include -I/root/pytorch/torch/csrc -Ibuild/third_party -I/root/.pyenv/versions/py365/lib/python3.6/site-packages/numpy/core/include -I/root/pytorch/torch/lib/tmp_install/include/THD -I/usr/local/cuda/include -I/root/pytorch/torch/lib/tmp_install/include/THCUNN -I/usr/include -I/root/.pyenv/versions/py365/include -I/root/.pyenv/versions/3.6.5/include/python3.6m -c torch/csrc/nvrtc.cpp -o build/temp.linux-x86_64-3.6/torch/csrc/nvrtc.o -D_THP_CORE -DONNX_NAMESPACE=onnx_torch -std=c++11 -Wall -Wextra -Wno-strict-overflow -Wno-unused-parameter -Wno-missing-field-initializers -Wno-write-strings -Wno-zero-length-array -Wno-unknown-pragmas -Wno-deprecated-declarations -fno-strict-aliasing -Wno-missing-braces -Wno-stringop-overflow -DUSE_NUMPY -DUSE_DISTRIBUTED -DUSE_C10D -DUSE_CUDA -DCUDA_LIB_PATH=/usr/local/cuda/lib64 -DUSE_NCCL -DUSE_CUDNN
gcc -pthread -shared -L/root/.pyenv/versions/3.6.5/lib -Wl,-rpath=/root/.pyenv/versions/3.6.5/lib -L/root/.pyenv/versions/3.6.5/lib -Wl,-rpath=/root/.pyenv/versions/3.6.5/lib build/temp.linux-x86_64-3.6/torch/csrc/nvrtc.o -L/root/pytorch/torch/lib -L/usr/local/cuda/lib64 -L/usr/local/cuda/lib64/stubs -L/root/.pyenv/versions/3.6.5/lib -lpython3.6m -o build/lib.linux-x86_64-3.6/torch/_nvrtc.cpython-36m-x86_64-linux-gnu.so -Wl,-rpath,/usr/lib/x86_64-linux-gnu/ -Wl,-rpath,/usr/local/cuda/lib64 -Wl,-rpath,$ORIGIN/lib -Wl,--no-as-needed -lcuda -lnvrtc
running install_lib
copying build/lib.linux-x86_64-3.6/caffe2/python/layers/tags.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/layers
copying build/lib.linux-x86_64-3.6/caffe2/python/layers/position_weighted.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/layers
copying build/lib.linux-x86_64-3.6/caffe2/python/layers/pairwise_similarity.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/layers
copying build/lib.linux-x86_64-3.6/caffe2/python/predictor/mobile_exporter.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/predictor
copying build/lib.linux-x86_64-3.6/caffe2/python/model_helper.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/core.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/schema_test.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/dataio.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/crf.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/onnx/test_onnxifi.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/onnx
copying build/lib.linux-x86_64-3.6/caffe2/python/onnx/tests/c2_ref_test.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/onnx/tests
copying build/lib.linux-x86_64-3.6/caffe2/python/onnx/backend.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/onnx
copying build/lib.linux-x86_64-3.6/caffe2/python/caffe2_pybind11_state_gpu.cpython-36m-x86_64-linux-gnu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/extension_loader.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/caffe2_pybind11_state.cpython-36m-x86_64-linux-gnu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/functional.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/_import_c_extension.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/checkpoint.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/model_helper_test.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/core_test.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/schema.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/layer_model_helper.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/modeling/parameter_info.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python/modeling
copying build/lib.linux-x86_64-3.6/caffe2/python/pipeline.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/python/transformations_test.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/python
copying build/lib.linux-x86_64-3.6/caffe2/proto/hsm_pb2.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/caffe2/proto/caffe2_pb2.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/caffe2/proto/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/caffe2/proto/prof_dag_pb2.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/caffe2/proto/predictor_consts_pb2.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/caffe2/proto/metanet_pb2.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/caffe2/proto/caffe2_legacy_pb2.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/caffe2/proto
copying build/lib.linux-x86_64-3.6/torch/nn/parallel/replicate.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/parallel
copying build/lib.linux-x86_64-3.6/torch/nn/parallel/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/parallel
copying build/lib.linux-x86_64-3.6/torch/nn/parallel/distributed.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/parallel
copying build/lib.linux-x86_64-3.6/torch/nn/parallel/distributed_c10d.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/parallel
copying build/lib.linux-x86_64-3.6/torch/nn/parallel/_functions.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/parallel
copying build/lib.linux-x86_64-3.6/torch/nn/parameter.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn
copying build/lib.linux-x86_64-3.6/torch/nn/utils/rnn.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/utils
copying build/lib.linux-x86_64-3.6/torch/nn/utils/convert_parameters.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/utils
copying build/lib.linux-x86_64-3.6/torch/nn/utils/spectral_norm.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/utils
copying build/lib.linux-x86_64-3.6/torch/nn/utils/clip_grad.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/utils
copying build/lib.linux-x86_64-3.6/torch/nn/init.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn
copying build/lib.linux-x86_64-3.6/torch/nn/functional.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn
copying build/lib.linux-x86_64-3.6/torch/nn/_functions/thnn/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/_functions/thnn
copying build/lib.linux-x86_64-3.6/torch/nn/_functions/rnn.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/_functions
copying build/lib.linux-x86_64-3.6/torch/nn/_functions/vision.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/_functions
copying build/lib.linux-x86_64-3.6/torch/nn/backends/thnn.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/backends
copying build/lib.linux-x86_64-3.6/torch/nn/modules/rnn.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/dropout.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/upsampling.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/activation.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/pixelshuffle.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/normalization.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/loss.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/padding.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/instancenorm.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/fold.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/conv.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/pooling.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/container.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/module.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/batchnorm.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/adaptive.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/linear.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/sparse.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/nn/modules/utils.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/nn/modules
copying build/lib.linux-x86_64-3.6/torch/optim/lr_scheduler.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/optim
copying build/lib.linux-x86_64-3.6/torch/optim/adam.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/optim
copying build/lib.linux-x86_64-3.6/torch/_torch_docs.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_six.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/onnx/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/onnx
copying build/lib.linux-x86_64-3.6/torch/onnx/symbolic.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/onnx
copying build/lib.linux-x86_64-3.6/torch/onnx/utils.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/onnx
copying build/lib.linux-x86_64-3.6/torch/lib/libcaffe2_detectron_ops_gpu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/libcaffe2.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/torch_shm_manager -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/libcaffe2_observers.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/include/THCUNN/THCHalfAutoNumerics.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THCUNN
copying build/lib.linux-x86_64-3.6/torch/lib/include/THCUNN/SharedMem.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THCUNN
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THHalf.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THAllocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGeneral.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/TH.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateDoubleType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateCharType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THTensor.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateIntTypes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THMath.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THFilePrivate.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateFloatTypes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THStorageFunctions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THTensorDimApply.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THVector.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THSize.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THBlas.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THStorage.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THStorageFunctions.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THMemoryFile.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THLapack.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateIntType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateShortType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THLogAdd.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateByteType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateHalfType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THStorageCopy.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensorConv.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensorLapack.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensor.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THVector.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THBlas.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THStorage.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THLapack.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensorRandom.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensorCopy.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensorMath.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/generic/THTensorFastGetSet.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateAllTypes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateFloatType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THFile.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THTypeConversion.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THDiskFile.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerateLongType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THRandom.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THTensorApply.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THTensor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/TH/THGenerator.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/TH
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/torch.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/python_headers.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/Exceptions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/Types.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/variadic.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/tensor_flatten.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/tensor_conversion_dispatch.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/tensor_apply.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/cuda_enabled.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/hash.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/memory.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/tensor_new.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/invalid_arguments.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/pybind.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/python_arg_parser.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/object_ptr.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/numpy_stub.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/utils/functional.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/utils
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda/undef_macros.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda/THCP.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda/restore_macros.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda/cuda_check.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda/comm.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/cuda/override_macros.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/THP.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/autodiff.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/interned_strings_class.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/custom_operator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/source_range.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/import.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/serialization.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/source_location.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/export.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/variable_tensor_list.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/fusion_compiler.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/python_arg_flatten.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/interpreter.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/pybind_utils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/function_schema.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/interned_strings.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/tracer.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/argument_spec.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/python_tracer.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/symbolic_variable.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/graph_executor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/ir.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/pybind.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/stack.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/operator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/attributes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/named_value.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/ivalue.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/constants.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/assertions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/graph_node_list.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/jit/type.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/jit
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/DynamicTypes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/Device.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/input_buffer.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/input_metadata.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/saved_variable.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/function.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/python_anomaly_mode.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/variable.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/type_and_shape.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/python_engine.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/anomaly_mode.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/function_hook.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/engine.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/python_function.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/profiler.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/python_cpp_function.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/autograd/grad_mode.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc/autograd
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/Layout.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/WindowsTorchApiMacro.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/THP_API.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/torch/csrc/variable_tensor_functions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/torch/csrc
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDADoubleType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAStream.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorOperators.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDAShortType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUHalfType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorMethods.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/InferSize.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPUByteType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDAByteType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/DLConvertor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/div_rtn.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/ArrayRef.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAGenerator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDADoubleType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Parallel.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDACharType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDALongType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/OptionsGuard.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Context.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/DimVector.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Scalar.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUDoubleType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUByteType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
creating /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/ATenGeneral.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Reduction.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/ArrayRef.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/IdWrapper.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Half.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/DeviceType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Deprecated.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Generator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/TensorTypeIdRegistration.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/UniqueVoidPtr.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Backtrace.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/optional.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/C++17.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/TensorTypeId.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/ATenCoreTest.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/AlignOf.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Layout.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/typeid.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/ScalarType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Half-inl.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/SmallVector.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Error.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Backend.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/intrusive_ptr.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/core/Macros.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/core
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Formatting.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPULongType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/ATen.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDAFloatType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Half.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPULongType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseTensorImpl.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Allocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/StorageImpl.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAGuard.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/ScalarTypeUtils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/WrapDimUtilsMulti.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/dlpack.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
creating /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail/VariableHooksInterface.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail/ScalarTypeConversions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail/CUDAHooksInterface.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/detail/FunctionTraits.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAStream.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDATensorMethods.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/Exceptions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAEvent.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAContext.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAGuard.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail/OffsetCalculator.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail/TensorInfo.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail/CUDAHooks.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail/KernelUtils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/detail/IndexUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda/detail
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAApplyUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/PinnedMemoryAllocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAHalf.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/ATenCUDAGeneral.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cuda/CUDAConfig.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cuda
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseTensorRef.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorAccessor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Registry.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCUDAIntType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Utils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Generator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUFloatType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorImpl.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUFixedAllocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/WrapDimUtils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/MatrixRef.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CheckGenerator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Backtrace.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDALongType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/Exceptions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/Descriptors.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/Types.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/Utils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/Handles.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/cudnn-wrapper.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/cudnn/Handle.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen/cudnn
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAIntType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAShortType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Config.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/optional.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUShortType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Retainable.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorBase.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/AccumulateType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/NativeFunctions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Dispatch.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUGeneral.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Storage.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorOptions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Type.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPUShortType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/ExpandUtils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorGeometry.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAFloatType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUGenerator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/UndefinedType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Device.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Layout.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUCharType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAHalfType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Tensor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/TensorUtils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPUIntType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/ScalarType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SmallVector.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDACharType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CUDAByteType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUIntType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPUFloatType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/UndefinedTensor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/RegisterCUDA.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/CPUApplyUtils.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Functions.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Error.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPUDoubleType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/Backend.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/DeviceGuard.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/ATen/SparseCPUCharType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/ATen
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCBlas.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCIntegerDivider.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateLongType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorCopy.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateFloatType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCDeviceTensorUtils-inl.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCDeviceUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorSort.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCAtomics.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCDeviceTensorUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerator.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCCachingHostAllocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorRandom.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorMathPointwise.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCReduceApplyUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCHalf.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorCopy.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorTopK.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorMode.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateDoubleType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCCachingAllocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorMathReduce.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateIntType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorMath.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THC.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCStorage.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateAllTypes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateFloatTypes.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCStream.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCAllocator.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorRandom.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCSleep.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCSortUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCStorageCopy.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCScanUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCNumerics.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCDeviceTensor-inl.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorInfo.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCAsmUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateShortType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCDeviceTensor.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorTypeUtils.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathCompare.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathPairwise.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathCompareT.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathPointwise.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorCopy.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathScan.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathMagma.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMath.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCStorage.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathBlas.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorRandom.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMasked.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMode.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCStorageCopy.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorTopK.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorSort.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorMathReduce.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorScatterGather.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensorIndex.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/generic/THCTensor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC/generic
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCApply.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGeneral.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCReduceAll.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensorMathMagma.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensor.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateHalfType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateCharType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCThrustAllocator.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCReduce.cuh -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGenerateByteType.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCStorage.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCTensor.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/include/THC/THCGeneral.hpp -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib/include/THC
copying build/lib.linux-x86_64-3.6/torch/lib/libtorch.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/libtorch.so.1 -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/THCUNN.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/libshm.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/libonnxifi_dummy.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/libcaffe2_gpu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/lib/THNN.h -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/lib
copying build/lib.linux-x86_64-3.6/torch/utils/cpp_extension.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils
copying build/lib.linux-x86_64-3.6/torch/utils/model_zoo.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils
copying build/lib.linux-x86_64-3.6/torch/utils/checkpoint.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils
copying build/lib.linux-x86_64-3.6/torch/utils/dlpack.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils
copying build/lib.linux-x86_64-3.6/torch/utils/data/dataloader.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils/data
copying build/lib.linux-x86_64-3.6/torch/utils/data/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils/data
copying build/lib.linux-x86_64-3.6/torch/utils/data/distributed.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils/data
copying build/lib.linux-x86_64-3.6/torch/utils/data/sampler.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils/data
copying build/lib.linux-x86_64-3.6/torch/utils/collect_env.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils
copying build/lib.linux-x86_64-3.6/torch/utils/trainer/plugins/loss.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/utils/trainer/plugins
copying build/lib.linux-x86_64-3.6/torch/cuda/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/cuda
copying build/lib.linux-x86_64-3.6/torch/cuda/comm.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/cuda
copying build/lib.linux-x86_64-3.6/torch/jit/batchop.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/jit
copying build/lib.linux-x86_64-3.6/torch/jit/frontend.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/jit
copying build/lib.linux-x86_64-3.6/torch/jit/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/jit
copying build/lib.linux-x86_64-3.6/torch/jit/annotations.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/jit
copying build/lib.linux-x86_64-3.6/torch/contrib/_tensorboard_vis.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/contrib
copying build/lib.linux-x86_64-3.6/torch/serialization.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_tensor_docs.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/functional.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_nvrtc.cpython-36m-x86_64-linux-gnu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/distributions/distribution.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/kl.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/geometric.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/log_normal.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/one_hot_categorical.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/fishersnedecor.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/constraints.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/negative_binomial.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/cauchy.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/transformed_distribution.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/multinomial.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/categorical.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/lowrank_multivariate_normal.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/bernoulli.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/relaxed_categorical.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/transforms.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/constraint_registry.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/weibull.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/half_cauchy.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/half_normal.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/multivariate_normal.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/utils.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/distributions/studentT.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributions
copying build/lib.linux-x86_64-3.6/torch/multiprocessing/reductions.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/multiprocessing
copying build/lib.linux-x86_64-3.6/torch/version.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_utils_internal.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_tensor_str.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/tensor.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_dl.cpython-36m-x86_64-linux-gnu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/distributed/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributed
creating /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributed/c10d
copying build/lib.linux-x86_64-3.6/torch/distributed/c10d/rendezvous.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributed/c10d
copying build/lib.linux-x86_64-3.6/torch/distributed/c10d/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/distributed/c10d
copying build/lib.linux-x86_64-3.6/torch/_C.cpython-36m-x86_64-linux-gnu.so -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/autograd/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/autograd
copying build/lib.linux-x86_64-3.6/torch/autograd/function.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/autograd
copying build/lib.linux-x86_64-3.6/torch/autograd/gradcheck.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/autograd
copying build/lib.linux-x86_64-3.6/torch/autograd/anomaly_mode.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/autograd
creating /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/backends/cuda
copying build/lib.linux-x86_64-3.6/torch/backends/cuda/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/backends/cuda
copying build/lib.linux-x86_64-3.6/torch/backends/cudnn/rnn.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/backends/cudnn
copying build/lib.linux-x86_64-3.6/torch/backends/cudnn/__init__.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/backends/cudnn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/Normalize.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/SpatialConvolutionLocal.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/VolumetricFullConvolution.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/VolumetricConvolution.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/SpatialClassNLLCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/SoftMarginCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/SpatialUpSamplingNearest.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/BatchNormalization.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/AbsCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/WeightedMSECriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/ClassNLLCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/ClassSimplexCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/MultiMarginCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/MSECriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/MultiLabelMarginCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/SpatialFullConvolution.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/ELU.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/DistKLDivCriterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/nn/SmoothL1Criterion.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/nn
copying build/lib.linux-x86_64-3.6/torch/legacy/optim/cg.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/legacy/optim
copying build/lib.linux-x86_64-3.6/torch/storage.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
copying build/lib.linux-x86_64-3.6/torch/_thnn/utils.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch/_thnn
copying build/lib.linux-x86_64-3.6/torch/_ops.py -> /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch
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running install_egg_info
running egg_info
creating torch.egg-info
writing torch.egg-info/PKG-INFO
writing dependency_links to torch.egg-info/dependency_links.txt
writing entry points to torch.egg-info/entry_points.txt
writing requirements to torch.egg-info/requires.txt
writing top-level names to torch.egg-info/top_level.txt
writing manifest file 'torch.egg-info/SOURCES.txt'
reading manifest file 'torch.egg-info/SOURCES.txt'
writing manifest file 'torch.egg-info/SOURCES.txt'
Copying torch.egg-info to /root/.pyenv/versions/py365/lib/python3.6/site-packages/torch-0.5.0a0+6993e4a-py3.6.egg-info
running install_scripts
Installing convert-caffe2-to-onnx script to /root/.pyenv/versions/py365/bin
Installing convert-onnx-to-caffe2 script to /root/.pyenv/versions/py365/bin

import torch
torch.__version__

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-14-414144362cc5> in <module>()
----> 1 import torch
      2 torch.__version__

~/pytorch/torch/__init__.py in <module>()
     82     pass
     83 
---> 84 from torch._C import *
     85 
     86 __all__ += [name for name in dir(_C)

ModuleNotFoundError: No module named 'torch._C'

cd

/root

import torch
torch.__version__

'0.5.0a0+6993e4a'

%%bash 
python -c 'from caffe2.python import core' 2>/dev/null && echo "Success" || echo "Failure"

Success

無事にcaffe2とpytorchをインストールすることができた。