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January 5, 2018 00:17
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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". | |
| 'msbuild' is not recognized as an internal or external command, | |
| operable program or batch file. | |
| -- 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 | |
| 'msbuild' is not recognized as an internal or external command, | |
| operable program or batch file. | |
| -- 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 | |
| 'msbuild' is not recognized as an internal or external command, | |
| operable program or batch file. | |
| The system cannot find the path specified. | |
| File not found - *.* | |
| 0 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+a3e9151 | |
| 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\constraints.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\pareto.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\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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