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January 4, 2018 08:17
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running install | |
running build_deps | |
-- Building for: Visual Studio 15 2017 | |
-- The C compiler identification is MSVC 19.12.25830.2 | |
-- The CXX compiler identification is MSVC 19.12.25830.2 | |
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe | |
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe -- works | |
-- Detecting C compiler ABI info | |
-- Detecting C compiler ABI info - done | |
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe | |
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe -- works | |
-- Detecting CXX compiler ABI info | |
-- Detecting CXX compiler ABI info - done | |
-- Detecting CXX compile features | |
-- Detecting CXX compile features - done | |
CMake Warning (dev) at cmake/FindCUDA/FindCUDA.cmake:494 (if): | |
Policy CMP0054 is not set: Only interpret if() arguments as variables or | |
keywords when unquoted. Run "cmake --help-policy CMP0054" for policy | |
details. Use the cmake_policy command to set the policy and suppress this | |
warning. | |
Quoted variables like "MSVC" will no longer be dereferenced when the policy | |
is set to NEW. Since the policy is not set the OLD behavior will be used. | |
Call Stack (most recent call first): | |
CMakeLists.txt:42 (FIND_PACKAGE) | |
This warning is for project developers. Use -Wno-dev to suppress it. | |
-- Found CUDA: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0 (found suitable version "9.0", minimum required is "5.5") | |
-- Automatic GPU detection failed. Building for common architectures. | |
-- Autodetected CUDA architecture(s): 3.0;3.5;5.0;5.2;6.0;6.1;6.1+PTX | |
-- Found CUDA with FP16 support, compiling with torch.CudaHalfTensor | |
-- Removing -DNDEBUG from compile flags | |
-- Found OpenMP_C: -openmp (found version "2.0") | |
-- Found OpenMP_CXX: -openmp (found version "2.0") | |
-- Found OpenMP: TRUE (found version "2.0") | |
-- 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. | |
-- Looking for cpuid.h | |
-- Looking for cpuid.h - not found | |
-- Performing Test NO_GCC_EBX_FPIC_BUG | |
-- Performing Test NO_GCC_EBX_FPIC_BUG - Failed | |
-- Performing Test C_HAS_SSE1_1 | |
-- Performing Test C_HAS_SSE1_1 - Success | |
-- Performing Test C_HAS_SSE2_1 | |
-- Performing Test C_HAS_SSE2_1 - Success | |
-- Performing Test C_HAS_SSE3_1 | |
-- Performing Test C_HAS_SSE3_1 - Success | |
-- Performing Test C_HAS_SSE4_1_1 | |
-- Performing Test C_HAS_SSE4_1_1 - Success | |
-- Performing Test C_HAS_SSE4_2_1 | |
-- Performing Test C_HAS_SSE4_2_1 - Success | |
-- Performing Test C_HAS_AVX_1 | |
-- Performing Test C_HAS_AVX_1 - Success | |
-- Performing Test C_HAS_AVX2_1 | |
-- Performing Test C_HAS_AVX2_1 - Success | |
-- Performing Test CXX_HAS_SSE1_1 | |
-- Performing Test CXX_HAS_SSE1_1 - Success | |
-- Performing Test CXX_HAS_SSE2_1 | |
-- Performing Test CXX_HAS_SSE2_1 - Success | |
-- Performing Test CXX_HAS_SSE3_1 | |
-- Performing Test CXX_HAS_SSE3_1 - Success | |
-- Performing Test CXX_HAS_SSE4_1_1 | |
-- Performing Test CXX_HAS_SSE4_1_1 - Success | |
-- Performing Test CXX_HAS_SSE4_2_1 | |
-- Performing Test CXX_HAS_SSE4_2_1 - Success | |
-- Performing Test CXX_HAS_AVX_1 | |
-- Performing Test CXX_HAS_AVX_1 - Success | |
-- Performing Test CXX_HAS_AVX2_1 | |
-- Performing Test CXX_HAS_AVX2_1 - Success | |
-- SSE2 Found | |
-- SSE3 Found | |
-- AVX Found | |
-- AVX2 Found | |
-- Performing Test HAS_C11_ATOMICS | |
-- Performing Test HAS_C11_ATOMICS - Failed | |
-- Performing Test HAS_MSC_ATOMICS | |
-- Performing Test HAS_MSC_ATOMICS - Success | |
-- Performing Test HAS_GCC_ATOMICS | |
-- Performing Test HAS_GCC_ATOMICS - Failed | |
-- Atomics: using MSVC intrinsics | |
-- Looking for sys/types.h | |
-- Looking for sys/types.h - found | |
-- Looking for stdint.h | |
-- Looking for stdint.h - found | |
-- Looking for stddef.h | |
-- Looking for stddef.h - found | |
-- Check size of void* | |
-- Check size of void* - done | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_sequential - mkl_core] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_sequential - mkl_core] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl - guide - pthread - m] | |
-- Library mkl: not found | |
-- MKL library not found | |
-- Checking for [openblas] | |
-- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND | |
-- Checking for [openblas - pthread] | |
-- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND | |
-- Checking for [libopenblas] | |
-- Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND | |
-- Checking for [goto2 - gfortran] | |
-- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND | |
-- Checking for [goto2 - gfortran - pthread] | |
-- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND | |
-- Checking for [acml - gfortran] | |
-- Library acml: BLAS_acml_LIBRARY-NOTFOUND | |
-- Checking for [Accelerate] | |
-- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND | |
-- Checking for [vecLib] | |
-- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND | |
-- Checking for [ptf77blas - atlas - gfortran] | |
-- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND | |
-- Checking for [blas] | |
-- Library blas: BLAS_blas_LIBRARY-NOTFOUND | |
-- Cannot find a library with BLAS API. Not using BLAS. | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_sequential - mkl_core] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_sequential - mkl_core] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl_intel - mkl_intel_thread - mkl_core - pthread] | |
-- Library mkl_intel: not found | |
-- Checking for [mkl - guide - pthread - m] | |
-- Library mkl: not found | |
-- MKL library not found | |
-- Checking for [openblas] | |
-- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND | |
-- Checking for [openblas - pthread] | |
-- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND | |
-- Checking for [libopenblas] | |
-- Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND | |
-- Checking for [goto2 - gfortran] | |
-- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND | |
-- Checking for [goto2 - gfortran - pthread] | |
-- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND | |
-- Checking for [acml - gfortran] | |
-- Library acml: BLAS_acml_LIBRARY-NOTFOUND | |
-- Checking for [Accelerate] | |
-- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND | |
-- Checking for [vecLib] | |
-- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND | |
-- Checking for [ptf77blas - atlas - gfortran] | |
-- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND | |
-- Checking for [blas] | |
-- Library blas: BLAS_blas_LIBRARY-NOTFOUND | |
-- Cannot find a library with BLAS API. Not using BLAS. | |
-- LAPACK requires BLAS | |
-- Cannot find a library with LAPACK API. Not using LAPACK. | |
-- Found CUDNN: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0/include | |
-- Found cuDNN: v7.0.5 (include: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0/include, library: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0/lib/x64/cudnn.lib) | |
-- Could NOT find NNPACK (missing: NNPACK_INCLUDE_DIR NNPACK_LIBRARY CPUINFO_LIBRARY PTHREADPOOL_LIBRARY) | |
-- NNPACK not found. Compiling without nNPACK support | |
CMake Deprecation Warning at src/ATen/CMakeLists.txt:7 (CMAKE_POLICY): | |
The OLD behavior for policy CMP0026 will be removed from a future version | |
of CMake. | |
The cmake-policies(7) manual explains that the OLD behaviors of all | |
policies are deprecated and that a policy should be set to OLD only under | |
specific short-term circumstances. Projects should be ported to the NEW | |
behavior and not rely on setting a policy to OLD. | |
CMake Warning (dev) at src/ATen/CMakeLists.txt:39 (IF): | |
Policy CMP0054 is not set: Only interpret if() arguments as variables or | |
keywords when unquoted. Run "cmake --help-policy CMP0054" for policy | |
details. Use the cmake_policy command to set the policy and suppress this | |
warning. | |
Quoted variables like "MSVC" will no longer be dereferenced when the policy | |
is set to NEW. Since the policy is not set the OLD behavior will be used. | |
This warning is for project developers. Use -Wno-dev to suppress it. | |
-- Using python found in C:\Users\parkj\Anaconda3\envs\peter\python.exe | |
-- Performing Test C_HAS_THREAD | |
-- Performing Test C_HAS_THREAD - Success | |
CMake Error: The following variables are used in this project, but they are set to NOTFOUND. | |
Please set them or make sure they are set and tested correctly in the CMake files: | |
CUDA_cublas_LIBRARY (ADVANCED) | |
linked by target "ATen" in directory C:/Users/parkj/pytorch-scripts/pytorch/aten/src/ATen | |
CUDA_cublas_device_LIBRARY (ADVANCED) | |
linked by target "ATen" in directory C:/Users/parkj/pytorch-scripts/pytorch/aten/src/ATen | |
CUDA_curand_LIBRARY (ADVANCED) | |
linked by target "ATen" in directory C:/Users/parkj/pytorch-scripts/pytorch/aten/src/ATen | |
CUDA_cusparse_LIBRARY (ADVANCED) | |
linked by target "ATen" in directory C:/Users/parkj/pytorch-scripts/pytorch/aten/src/ATen | |
-- Configuring incomplete, errors occurred! | |
See also "C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/ATen/CMakeFiles/CMakeOutput.log". | |
See also "C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/ATen/CMakeFiles/CMakeError.log". | |
Microsoft (R) Build Engine version 15.5.180.51428 for .NET Framework | |
Copyright (C) Microsoft Corporation. All rights reserved. | |
MSBUILD : error MSB1009: Project file does not exist. | |
Switch: INSTALL.vcxproj | |
-- Building for: Visual Studio 15 2017 | |
-- The C compiler identification is MSVC 19.12.25830.2 | |
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe | |
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe -- works | |
-- Detecting C compiler ABI info | |
-- Detecting C compiler ABI info - done | |
-- Configuring done | |
-- Generating done | |
CMake Warning: | |
Manually-specified variables were not used by the project: | |
ATEN_LIBRARIES | |
CMAKE_BUILD_TYPE | |
CMAKE_CXX_FLAGS | |
CUDA_NVCC_FLAGS | |
NO_CUDA | |
NO_NNPACK | |
THCS_LIBRARIES | |
THCUNN_LIBRARIES | |
THCUNN_SO_VERSION | |
THC_LIBRARIES | |
THC_SO_VERSION | |
THNN_LIBRARIES | |
THNN_SO_VERSION | |
THS_LIBRARIES | |
TH_INCLUDE_PATH | |
TH_LIBRARIES | |
TH_LIB_PATH | |
TH_SO_VERSION | |
Torch_FOUND | |
cwrap_files | |
-- Build files have been written to: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/nanopb | |
Microsoft (R) Build Engine version 15.5.180.51428 for .NET Framework | |
Copyright (C) Microsoft Corporation. All rights reserved. | |
Build started 1/4/2018 4:52:14 PM. | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\INSTALL.vcxproj" on node 1 (default targets). | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\INSTALL.vcxproj" (1) is building "C:\Users\parkj | |
\pytorch-scripts\pytorch\torch\lib\build\nanopb\ZERO_CHECK.vcxproj" (2) on node 1 (default targets). | |
PrepareForBuild: | |
Creating directory "Win32\Release\ZERO_CHECK\". | |
Creating directory "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\Release\". | |
Creating directory "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\". | |
InitializeBuildStatus: | |
Creating "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. | |
CustomBuild: | |
Checking Build System | |
CMake does not need to re-run because C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/nanopb/CMakeFiles/genera | |
te.stamp is up-to-date. | |
FinalizeBuildStatus: | |
Deleting file "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". | |
Touching "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\ZERO_CHECK.vcxproj" (default targe | |
ts). | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\INSTALL.vcxproj" (1) is building "C:\Users\parkj | |
\pytorch-scripts\pytorch\torch\lib\build\nanopb\ALL_BUILD.vcxproj" (3) on node 1 (default targets). | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\ALL_BUILD.vcxproj" (3) is building "C:\Users\par | |
kj\pytorch-scripts\pytorch\torch\lib\build\nanopb\protobuf-nanopb.vcxproj" (4) on node 1 (default targets). | |
PrepareForBuild: | |
Creating directory "protobuf-nanopb.dir\Release\". | |
Creating directory "protobuf-nanopb.dir\Release\protobuf-nanopb.tlog\". | |
InitializeBuildStatus: | |
Creating "protobuf-nanopb.dir\Release\protobuf-nanopb.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. | |
CustomBuild: | |
Building Custom Rule C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/nanopb/CMakeLists.txt | |
CMake does not need to re-run because C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/nanopb/CMakeFiles/genera | |
te.stamp is up-to-date. | |
ClCompile: | |
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.12.25827\bin\HostX86\x86\CL.exe /c /I" | |
C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include" /I"C:/Users/parkj/pytorch-scripts/pytorch/torch | |
/lib/tmp_install/include/TH" /I"C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/THC" /I"C:/Users | |
/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/THS" /I/include/THCS /I/include/THPP /I/include/THNN /I/ | |
include/THCUNN /Z7 /nologo /W1 /WX- /diagnostics:classic /O2 /Ob2 /Oy- /D TH_INDEX_BASE=0 /D _WIN32 /D NOMINMAX /D ND | |
EBUG /D "CMAKE_INTDIR=\"Release\"" /D _MBCS /Gm- /EHa /MT /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /Fo"pro | |
tobuf-nanopb.dir\Release\\" /Fd"protobuf-nanopb.dir\Release\protobuf-nanopb.pdb" /Gd /TC /analyze- /errorReport:queue | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\nanopb\pb_common.c" "C:\Users\parkj\pytorch-scripts\pytorch\torch\ | |
lib\nanopb\pb_encode.c" "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\nanopb\pb_decode.c" | |
pb_common.c | |
pb_encode.c | |
pb_decode.c | |
코드를 생성하고 있습니다... | |
Lib: | |
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.12.25827\bin\HostX86\x86\Lib.exe /OUT: | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\Release\protobuf-nanopb.lib" /NOLOGO /machine:X86 "pr | |
otobuf-nanopb.dir\Release\pb_common.obj" | |
"protobuf-nanopb.dir\Release\pb_encode.obj" | |
"protobuf-nanopb.dir\Release\pb_decode.obj" | |
protobuf-nanopb.vcxproj -> C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\Release\protobuf-nanopb.lib | |
FinalizeBuildStatus: | |
Deleting file "protobuf-nanopb.dir\Release\protobuf-nanopb.tlog\unsuccessfulbuild". | |
Touching "protobuf-nanopb.dir\Release\protobuf-nanopb.tlog\protobuf-nanopb.lastbuildstate". | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\protobuf-nanopb.vcxproj" (default | |
targets). | |
PrepareForBuild: | |
Creating directory "Win32\Release\ALL_BUILD\". | |
Creating directory "Win32\Release\ALL_BUILD\ALL_BUILD.tlog\". | |
InitializeBuildStatus: | |
Creating "Win32\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. | |
CustomBuild: | |
Building Custom Rule C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/nanopb/CMakeLists.txt | |
CMake does not need to re-run because C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/nanopb/CMakeFiles/genera | |
te.stamp is up-to-date. | |
FinalizeBuildStatus: | |
Deleting file "Win32\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild". | |
Touching "Win32\Release\ALL_BUILD\ALL_BUILD.tlog\ALL_BUILD.lastbuildstate". | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\ALL_BUILD.vcxproj" (default target | |
s). | |
PrepareForBuild: | |
Creating directory "Win32\Release\INSTALL\". | |
Creating directory "Win32\Release\INSTALL\INSTALL.tlog\". | |
InitializeBuildStatus: | |
Creating "Win32\Release\INSTALL\INSTALL.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. | |
PostBuildEvent: | |
setlocal | |
C:\Users\parkj\Anaconda3\envs\peter\Lib\site-packages\cmake\data\bin\cmake.exe -DBUILD_TYPE=Release -P cmake_install. | |
cmake | |
if %errorlevel% neq 0 goto :cmEnd | |
:cmEnd | |
endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone | |
:cmErrorLevel | |
exit /b %1 | |
:cmDone | |
if %errorlevel% neq 0 goto :VCEnd | |
:VCEnd | |
-- Install configuration: "Release" | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/lib/protobuf-nanopb.lib | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-targets.cmake | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-targets-release.c | |
make | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-config.cmake | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/lib/cmake/nanopb/nanopb-config-version.cm | |
ake | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/pb.h | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/pb_common.h | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/pb_encode.h | |
-- Installing: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/pb_decode.h | |
FinalizeBuildStatus: | |
Deleting file "Win32\Release\INSTALL\INSTALL.tlog\unsuccessfulbuild". | |
Touching "Win32\Release\INSTALL\INSTALL.tlog\INSTALL.lastbuildstate". | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\nanopb\INSTALL.vcxproj" (default targets) | |
. | |
Build succeeded. | |
0 Warning(s) | |
0 Error(s) | |
Time Elapsed 00:00:01.66 | |
-- Building for: Visual Studio 15 2017 | |
-- The C compiler identification is MSVC 19.12.25830.2 | |
-- The CXX compiler identification is MSVC 19.12.25830.2 | |
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe | |
-- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe -- works | |
-- Detecting C compiler ABI info | |
-- Detecting C compiler ABI info - done | |
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe | |
-- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.12.25827/bin/Hostx86/x86/cl.exe -- works | |
-- Detecting CXX compiler ABI info | |
-- Detecting CXX compiler ABI info - done | |
-- Detecting CXX compile features | |
-- Detecting CXX compile features - done | |
-- Configuring done | |
-- Generating done | |
CMake Warning: | |
Manually-specified variables were not used by the project: | |
ATEN_LIBRARIES | |
CMAKE_BUILD_TYPE | |
CUDA_NVCC_FLAGS | |
NO_CUDA | |
NO_NNPACK | |
THCS_LIBRARIES | |
THCUNN_LIBRARIES | |
THCUNN_SO_VERSION | |
THC_LIBRARIES | |
THC_SO_VERSION | |
THNN_LIBRARIES | |
THNN_SO_VERSION | |
THS_LIBRARIES | |
TH_INCLUDE_PATH | |
TH_LIB_PATH | |
TH_SO_VERSION | |
Torch_FOUND | |
cwrap_files | |
nanopb_BUILD_GENERATOR | |
-- Build files have been written to: C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/libshm_windows | |
Microsoft (R) Build Engine version 15.5.180.51428 for .NET Framework | |
Copyright (C) Microsoft Corporation. All rights reserved. | |
Build started 1/4/2018 4:52:23 PM. | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\INSTALL.vcxproj" on node 1 (defau | |
lt targets). | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\INSTALL.vcxproj" (1) is building | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\ZERO_CHECK.vcxproj" (2) on node 1 (defaul | |
t targets). | |
PrepareForBuild: | |
Creating directory "Win32\Release\ZERO_CHECK\". | |
Creating directory "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\Release\". | |
Creating directory "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\". | |
InitializeBuildStatus: | |
Creating "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. | |
CustomBuild: | |
Checking Build System | |
CMake does not need to re-run because C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/libshm_windows/CM | |
akeFiles/generate.stamp is up-to-date. | |
FinalizeBuildStatus: | |
Deleting file "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\unsuccessfulbuild". | |
Touching "Win32\Release\ZERO_CHECK\ZERO_CHECK.tlog\ZERO_CHECK.lastbuildstate". | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\ZERO_CHECK.vcxproj" | |
(default targets). | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\INSTALL.vcxproj" (1) is building | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\ALL_BUILD.vcxproj" (3) on node 1 (default | |
targets). | |
Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\ALL_BUILD.vcxproj" (3) is buildin | |
g "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\shm.vcxproj" (4) on node 1 (default tar | |
gets). | |
PrepareForBuild: | |
Creating directory "shm.dir\Release\". | |
Creating directory "shm.dir\Release\shm.tlog\". | |
InitializeBuildStatus: | |
Creating "shm.dir\Release\shm.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. | |
CustomBuild: | |
Building Custom Rule C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/libshm_windows/CMakeLists.txt | |
CMake does not need to re-run because C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/build/libshm_windows/CM | |
akeFiles/generate.stamp is up-to-date. | |
ClCompile: | |
C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.12.25827\bin\HostX86\x86\CL.exe | |
/c /I"C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include" /I"C:/Users/parkj/pytorch-scripts | |
/pytorch/torch/lib/tmp_install/include/TH" /I"C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/inc | |
lude/THC" /I"C:/Users/parkj/pytorch-scripts/pytorch/torch/lib/tmp_install/include/THS" /I/include/THCS /I/incl | |
ude/THPP /I/include/THNN /I/include/THCUNN /I"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\libshm_windows" | |
/Z7 /nologo /W1 /WX- /diagnostics:classic /O2 /Ob2 /Oy- /D TH_INDEX_BASE=0 /D _WIN32 /D NOMINMAX /D NDEBUG /D | |
_CRT_SECURE_NO_DEPRECATE=1 /D SHM_EXPORTS /D "CMAKE_INTDIR=\"Release\"" /D shm_EXPORTS /D _WINDLL /D _MBCS /G | |
m- /EHa /MD /GS /fp:precise /Zc:wchar_t /Zc:forScope /Zc:inline /Fo"shm.dir\Release\\" /Fd"shm.dir\Release\vc1 | |
41.pdb" /Gd /TP /analyze- /errorReport:queue "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\libshm_windows\ | |
core.cpp" | |
core.cpp | |
C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\libshm_windows\core.cpp(5): fatal error C1083: 포함 파일을 열 수 없습니다. | |
'TH/TH.h': No such file or directory [C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\shm | |
.vcxproj] | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\shm.vcxproj" (defau | |
lt targets) -- FAILED. | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\ALL_BUILD.vcxproj" | |
(default targets) -- FAILED. | |
Done Building Project "C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\INSTALL.vcxproj" (d | |
efault targets) -- FAILED. | |
Build FAILED. | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\INSTALL.vcxproj" (default target) (1) -> | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\ALL_BUILD.vcxproj" (default target) (3) - | |
> | |
"C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\shm.vcxproj" (default target) (4) -> | |
(ClCompile target) -> | |
C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\libshm_windows\core.cpp(5): fatal error C1083: 포함 파일을 열 수 없습니 | |
다. 'TH/TH.h': No such file or directory [C:\Users\parkj\pytorch-scripts\pytorch\torch\lib\build\libshm_windows\s | |
hm.vcxproj] | |
0 Warning(s) | |
1 Error(s) | |
Time Elapsed 00:00:01.26 | |
tmp_install\lib\protobuf-nanopb.lib | |
1 file(s) copied. | |
tmp_install\include\pb.h | |
tmp_install\include\pb_common.h | |
tmp_install\include\pb_decode.h | |
tmp_install\include\pb_encode.h | |
4 File(s) copied | |
..\..\aten\src\THNN\generic\THNN.h | |
1 File(s) copied | |
..\..\aten\src\THCUNN\generic\THCUNN.h | |
1 File(s) copied | |
running build | |
running build_py | |
-- Building version 0.4.0a0+5b91b24 | |
creating build | |
creating build\lib.win-amd64-3.6 | |
creating build\lib.win-amd64-3.6\torch | |
copying torch\functional.py -> build\lib.win-amd64-3.6\torch | |
copying torch\random.py -> build\lib.win-amd64-3.6\torch | |
copying torch\serialization.py -> build\lib.win-amd64-3.6\torch | |
copying torch\storage.py -> build\lib.win-amd64-3.6\torch | |
copying torch\tensor.py -> build\lib.win-amd64-3.6\torch | |
copying torch\version.py -> build\lib.win-amd64-3.6\torch | |
copying torch\_six.py -> build\lib.win-amd64-3.6\torch | |
copying torch\_storage_docs.py -> build\lib.win-amd64-3.6\torch | |
copying torch\_tensor_docs.py -> build\lib.win-amd64-3.6\torch | |
copying torch\_tensor_str.py -> build\lib.win-amd64-3.6\torch | |
copying torch\_torch_docs.py -> build\lib.win-amd64-3.6\torch | |
copying torch\_utils.py -> build\lib.win-amd64-3.6\torch | |
copying torch\__init__.py -> build\lib.win-amd64-3.6\torch | |
creating build\lib.win-amd64-3.6\torch\autograd | |
copying torch\autograd\function.py -> build\lib.win-amd64-3.6\torch\autograd | |
copying torch\autograd\gradcheck.py -> build\lib.win-amd64-3.6\torch\autograd | |
copying torch\autograd\grad_mode.py -> build\lib.win-amd64-3.6\torch\autograd | |
copying torch\autograd\profiler.py -> build\lib.win-amd64-3.6\torch\autograd | |
copying torch\autograd\variable.py -> build\lib.win-amd64-3.6\torch\autograd | |
copying torch\autograd\__init__.py -> build\lib.win-amd64-3.6\torch\autograd | |
creating build\lib.win-amd64-3.6\torch\backends | |
copying torch\backends\__init__.py -> build\lib.win-amd64-3.6\torch\backends | |
creating build\lib.win-amd64-3.6\torch\contrib | |
copying torch\contrib\_graph_vis.py -> build\lib.win-amd64-3.6\torch\contrib | |
copying torch\contrib\__init__.py -> build\lib.win-amd64-3.6\torch\contrib | |
creating build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\comm.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\error.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\nccl.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\nvtx.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\profiler.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\random.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\sparse.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\streams.py -> build\lib.win-amd64-3.6\torch\cuda | |
copying torch\cuda\__init__.py -> build\lib.win-amd64-3.6\torch\cuda | |
creating build\lib.win-amd64-3.6\torch\distributed | |
copying torch\distributed\remote_types.py -> build\lib.win-amd64-3.6\torch\distributed | |
copying torch\distributed\__init__.py -> build\lib.win-amd64-3.6\torch\distributed | |
creating build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\bernoulli.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\beta.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\categorical.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\cauchy.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\chi2.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\dirichlet.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\distribution.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\exponential.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\gamma.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\laplace.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\normal.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\one_hot_categorical.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\uniform.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\utils.py -> build\lib.win-amd64-3.6\torch\distributions | |
copying torch\distributions\__init__.py -> build\lib.win-amd64-3.6\torch\distributions | |
creating build\lib.win-amd64-3.6\torch\for_onnx | |
copying torch\for_onnx\__init__.py -> build\lib.win-amd64-3.6\torch\for_onnx | |
creating build\lib.win-amd64-3.6\torch\jit | |
copying torch\jit\__init__.py -> build\lib.win-amd64-3.6\torch\jit | |
creating build\lib.win-amd64-3.6\torch\legacy | |
copying torch\legacy\__init__.py -> build\lib.win-amd64-3.6\torch\legacy | |
creating build\lib.win-amd64-3.6\torch\multiprocessing | |
copying torch\multiprocessing\pool.py -> build\lib.win-amd64-3.6\torch\multiprocessing | |
copying torch\multiprocessing\queue.py -> build\lib.win-amd64-3.6\torch\multiprocessing | |
copying torch\multiprocessing\reductions.py -> build\lib.win-amd64-3.6\torch\multiprocessing | |
copying torch\multiprocessing\__init__.py -> build\lib.win-amd64-3.6\torch\multiprocessing | |
creating build\lib.win-amd64-3.6\torch\nn | |
copying torch\nn\functional.py -> build\lib.win-amd64-3.6\torch\nn | |
copying torch\nn\init.py -> build\lib.win-amd64-3.6\torch\nn | |
copying torch\nn\parameter.py -> build\lib.win-amd64-3.6\torch\nn | |
copying torch\nn\__init__.py -> build\lib.win-amd64-3.6\torch\nn | |
creating build\lib.win-amd64-3.6\torch\onnx | |
copying torch\onnx\symbolic.py -> build\lib.win-amd64-3.6\torch\onnx | |
copying torch\onnx\__init__.py -> build\lib.win-amd64-3.6\torch\onnx | |
creating build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\adadelta.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\adagrad.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\adam.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\adamax.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\asgd.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\lbfgs.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\lr_scheduler.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\optimizer.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\rmsprop.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\rprop.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\sgd.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\sparse_adam.py -> build\lib.win-amd64-3.6\torch\optim | |
copying torch\optim\__init__.py -> build\lib.win-amd64-3.6\torch\optim | |
creating build\lib.win-amd64-3.6\torch\sparse | |
copying torch\sparse\__init__.py -> build\lib.win-amd64-3.6\torch\sparse | |
creating build\lib.win-amd64-3.6\torch\utils | |
copying torch\utils\dlpack.py -> build\lib.win-amd64-3.6\torch\utils | |
copying torch\utils\hooks.py -> build\lib.win-amd64-3.6\torch\utils | |
copying torch\utils\model_zoo.py -> build\lib.win-amd64-3.6\torch\utils | |
copying torch\utils\__init__.py -> build\lib.win-amd64-3.6\torch\utils | |
creating build\lib.win-amd64-3.6\torch\_thnn | |
copying torch\_thnn\utils.py -> build\lib.win-amd64-3.6\torch\_thnn | |
copying torch\_thnn\__init__.py -> build\lib.win-amd64-3.6\torch\_thnn | |
creating build\lib.win-amd64-3.6\torch\autograd\_functions | |
copying torch\autograd\_functions\basic_ops.py -> build\lib.win-amd64-3.6\torch\autograd\_functions | |
copying torch\autograd\_functions\tensor.py -> build\lib.win-amd64-3.6\torch\autograd\_functions | |
copying torch\autograd\_functions\utils.py -> build\lib.win-amd64-3.6\torch\autograd\_functions | |
copying torch\autograd\_functions\__init__.py -> build\lib.win-amd64-3.6\torch\autograd\_functions | |
creating build\lib.win-amd64-3.6\torch\backends\cudnn | |
copying torch\backends\cudnn\rnn.py -> build\lib.win-amd64-3.6\torch\backends\cudnn | |
copying torch\backends\cudnn\__init__.py -> build\lib.win-amd64-3.6\torch\backends\cudnn | |
creating build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Abs.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\AbsCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Add.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\AddConstant.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\BatchNormalization.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\BCECriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Bilinear.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CAddTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CDivTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Clamp.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ClassNLLCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ClassSimplexCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CMul.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CMulTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Concat.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ConcatTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Container.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Contiguous.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Copy.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Cosine.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CosineDistance.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CosineEmbeddingCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Criterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CriterionTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CrossEntropyCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\CSubTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\DepthConcat.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\DistKLDivCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\DotProduct.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Dropout.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ELU.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Euclidean.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Exp.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\FlattenTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\GradientReversal.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\HardShrink.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\HardTanh.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\HingeEmbeddingCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Identity.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Index.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\JoinTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\L1Cost.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\L1HingeEmbeddingCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\L1Penalty.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\LeakyReLU.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Linear.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Log.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\LogSigmoid.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\LogSoftMax.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\LookupTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MarginCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MarginRankingCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MaskedSelect.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Max.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Mean.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Min.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MixtureTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MM.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Module.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MSECriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Mul.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MulConstant.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MultiCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MultiLabelMarginCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MultiLabelSoftMarginCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MultiMarginCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\MV.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Narrow.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\NarrowTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Normalize.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Padding.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\PairwiseDistance.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Parallel.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ParallelCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ParallelTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\PartialLinear.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Power.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\PReLU.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ReLU.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\ReLU6.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Replicate.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Reshape.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\RReLU.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Select.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SelectTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Sequential.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Sigmoid.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SmoothL1Criterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SoftMarginCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SoftMax.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SoftMin.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SoftPlus.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SoftShrink.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SoftSign.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialAdaptiveMaxPooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialAveragePooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialBatchNormalization.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialClassNLLCriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialContrastiveNormalization.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialConvolution.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialConvolutionLocal.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialConvolutionMap.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialCrossMapLRN.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialDilatedConvolution.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialDivisiveNormalization.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialDropout.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialFractionalMaxPooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialFullConvolution.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialFullConvolutionMap.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialLPPooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialMaxPooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialMaxUnpooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialReflectionPadding.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialReplicationPadding.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialSoftMax.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialSubSampling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialSubtractiveNormalization.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialUpSamplingNearest.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SpatialZeroPadding.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\SplitTable.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Sqrt.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Square.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Squeeze.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Sum.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Tanh.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\TanhShrink.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\TemporalConvolution.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\TemporalMaxPooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\TemporalSubSampling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Threshold.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Transpose.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\Unsqueeze.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\utils.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\View.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricAveragePooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricBatchNormalization.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricConvolution.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricDropout.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricFullConvolution.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricMaxPooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricMaxUnpooling.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\VolumetricReplicationPadding.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\WeightedEuclidean.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\WeightedMSECriterion.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
copying torch\legacy\nn\__init__.py -> build\lib.win-amd64-3.6\torch\legacy\nn | |
creating build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\adadelta.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\adagrad.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\adam.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\adamax.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\asgd.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\cg.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\lbfgs.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\nag.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\rmsprop.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\rprop.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\sgd.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
copying torch\legacy\optim\__init__.py -> build\lib.win-amd64-3.6\torch\legacy\optim | |
creating build\lib.win-amd64-3.6\torch\nn\backends | |
copying torch\nn\backends\backend.py -> build\lib.win-amd64-3.6\torch\nn\backends | |
copying torch\nn\backends\thnn.py -> build\lib.win-amd64-3.6\torch\nn\backends | |
copying torch\nn\backends\__init__.py -> build\lib.win-amd64-3.6\torch\nn\backends | |
creating build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\activation.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\batchnorm.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\container.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\conv.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\distance.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\dropout.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\instancenorm.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\linear.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\loss.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\module.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\normalization.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\padding.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\pixelshuffle.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\pooling.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\rnn.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\sparse.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\upsampling.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\utils.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
copying torch\nn\modules\__init__.py -> build\lib.win-amd64-3.6\torch\nn\modules | |
creating build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\data_parallel.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\distributed.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\parallel_apply.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\replicate.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\scatter_gather.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\_functions.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
copying torch\nn\parallel\__init__.py -> build\lib.win-amd64-3.6\torch\nn\parallel | |
creating build\lib.win-amd64-3.6\torch\nn\utils | |
copying torch\nn\utils\clip_grad.py -> build\lib.win-amd64-3.6\torch\nn\utils | |
copying torch\nn\utils\convert_parameters.py -> build\lib.win-amd64-3.6\torch\nn\utils | |
copying torch\nn\utils\rnn.py -> build\lib.win-amd64-3.6\torch\nn\utils | |
copying torch\nn\utils\weight_norm.py -> build\lib.win-amd64-3.6\torch\nn\utils | |
copying torch\nn\utils\__init__.py -> build\lib.win-amd64-3.6\torch\nn\utils | |
creating build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\dropout.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\linear.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\loss.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\padding.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\rnn.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\vision.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
copying torch\nn\_functions\__init__.py -> build\lib.win-amd64-3.6\torch\nn\_functions | |
creating build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\auto.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\auto_double_backwards.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\auto_symbolic.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\normalization.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\rnnFusedPointwise.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\sparse.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
copying torch\nn\_functions\thnn\__init__.py -> build\lib.win-amd64-3.6\torch\nn\_functions\thnn | |
creating build\lib.win-amd64-3.6\torch\utils\backcompat | |
copying torch\utils\backcompat\__init__.py -> build\lib.win-amd64-3.6\torch\utils\backcompat | |
creating build\lib.win-amd64-3.6\torch\utils\data | |
copying torch\utils\data\dataloader.py -> build\lib.win-amd64-3.6\torch\utils\data | |
copying torch\utils\data\dataset.py -> build\lib.win-amd64-3.6\torch\utils\data | |
copying torch\utils\data\distributed.py -> build\lib.win-amd64-3.6\torch\utils\data | |
copying torch\utils\data\sampler.py -> build\lib.win-amd64-3.6\torch\utils\data | |
copying torch\utils\data\__init__.py -> build\lib.win-amd64-3.6\torch\utils\data | |
creating build\lib.win-amd64-3.6\torch\utils\ffi | |
copying torch\utils\ffi\__init__.py -> build\lib.win-amd64-3.6\torch\utils\ffi | |
creating build\lib.win-amd64-3.6\torch\utils\serialization | |
copying torch\utils\serialization\read_lua_file.py -> build\lib.win-amd64-3.6\torch\utils\serialization | |
copying torch\utils\serialization\__init__.py -> build\lib.win-amd64-3.6\torch\utils\serialization | |
creating build\lib.win-amd64-3.6\torch\utils\trainer | |
copying torch\utils\trainer\trainer.py -> build\lib.win-amd64-3.6\torch\utils\trainer | |
copying torch\utils\trainer\__init__.py -> build\lib.win-amd64-3.6\torch\utils\trainer | |
creating build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\accuracy.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\logger.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\loss.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\monitor.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\plugin.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\progress.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\time.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
copying torch\utils\trainer\plugins\__init__.py -> build\lib.win-amd64-3.6\torch\utils\trainer\plugins | |
creating build\lib.win-amd64-3.6\torch\lib | |
copying torch\lib\protobuf-nanopb.lib -> build\lib.win-amd64-3.6\torch\lib | |
copying torch\lib\THCUNN.h -> build\lib.win-amd64-3.6\torch\lib | |
copying torch\lib\THNN.h -> build\lib.win-amd64-3.6\torch\lib | |
running build_ext | |
-- Building with NumPy bindings | |
-- Detected cuDNN at C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0\lib/x64, C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0\include | |
-- Detected CUDA at C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v9.0 | |
-- Not using NCCL | |
-- Building without distributed package | |
error: [Errno 2] No such file or directory: 'torch/lib/tmp_install/share/ATen/Declarations.yaml' |
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