Hi txbob,
I did what you mentioned but I got a different error “Caffe2 building failed”. I did the following sets:
D:\Yeverino\git_projects\pytorch\scripts>set CMAKE_GENERATOR=“Visual Studio 14 2015 Win64”
D:\Yeverino\git_projects\pytorch\scripts>set USE_CUDA=ON
D:\Yeverino\git_projects\pytorch\scripts>set TORCH_CUDA_ARCH_LIST=“6.1”
D:\Yeverino\git_projects\pytorch\scripts>build_windows.bat
Below the Console Output:
Requirement already satisfied: pyyaml in c:\python27\lib\site-packages (3.13)
CAFFE2_ROOT=D:\Yeverino\git_projects\pytorch\scripts..
CMAKE_GENERATOR=“Visual Studio 14 2015 Win64”
CMAKE_BUILD_TYPE=Release
– Selecting Windows SDK version 10.0.14393.0 to target Windows 10.0.17134.
– The CXX compiler identification is MSVC 19.0.24215.1
– The C compiler identification is MSVC 19.0.24215.1
– Check for working CXX compiler: D:/Program Files/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
– Check for working CXX compiler: D:/Program Files/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe – works
– Detecting CXX compiler ABI info
– Detecting CXX compiler ABI info - done
– Detecting CXX compile features
– Detecting CXX compile features - done
– Check for working C compiler: D:/Program Files/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
– Check for working C compiler: D:/Program Files/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe – works
– Detecting C compiler ABI info
– Detecting C compiler ABI info - done
– Detecting C compile features
– Detecting C compile features - done
– Not forcing any particular BLAS to be found
– Performing Test CAFFE2_LONG_IS_INT32_OR_64
– Performing Test CAFFE2_LONG_IS_INT32_OR_64 - Failed
– Need to define long as a separate typeid.
– Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED
– Performing Test CAFFE2_EXCEPTION_PTR_SUPPORTED - Success
– std::exception_ptr is supported.
– Performing Test CAFFE2_IS_NUMA_AVAILABLE
– Performing Test CAFFE2_IS_NUMA_AVAILABLE - Failed
– NUMA is not available
– Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING
– Performing Test CAFFE2_NEED_TO_TURN_OFF_DEPRECATION_WARNING - Failed
– Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS
– Performing Test CAFFE2_COMPILER_SUPPORTS_AVX2_EXTENSIONS - Success
– Current compiler supports avx2 extention. Will build perfkernels.
– Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY
– Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Failed
– Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY
– Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Failed
– Building using own protobuf under third_party per request.
– Use custom protobuf build.
– Looking for pthread.h
– Looking for pthread.h - not found
– Found Threads: TRUE
– Caffe2 protobuf include directory: $<BUILD_INTERFACE:D:/Yeverino/git_projects/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include>
– Found Git: D:/Program Files/Git/Git/cmd/git.exe (found version “2.18.0.windows.1”)
– The BLAS backend of choice:Eigen
CMake Warning at cmake/Dependencies.cmake:257 (message):
NUMA is currently only supported under Linux.
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
CMake Warning at cmake/Dependencies.cmake:330 (find_package):
By not providing “FindEigen3.cmake” in CMAKE_MODULE_PATH this project has
asked CMake to find a package configuration file provided by “Eigen3”, but
CMake did not find one.
Could not find a package configuration file provided by “Eigen3” with any
of the following names:
Eigen3Config.cmake
eigen3-config.cmake
Add the installation prefix of “Eigen3” to CMAKE_PREFIX_PATH or set
“Eigen3_DIR” to a directory containing one of the above files. If “Eigen3”
provides a separate development package or SDK, be sure it has been
installed.
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
– Did not find system Eigen. Using third party subdirectory.
– Found PythonInterp: C:/Python27/python.exe (found suitable version “2.7.14”, minimum required is “2.7”)
– Found PythonLibs: C:/Python27/libs/python27.lib (found suitable version “2.7.14”, minimum required is “2.7”)
– Found NumPy: C:/Python27/lib/site-packages/numpy/core/include (found version “1.14.5”)
– NumPy ver. 1.14.5 found (include: C:/Python27/lib/site-packages/numpy/core/include)
– Could NOT find pybind11 (missing: pybind11_INCLUDE_DIR)
– Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS)
– Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS)
– Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND)
CMake Warning at cmake/Dependencies.cmake:401 (message):
Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
– Found CUDA: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0 (found suitable version “8.0”, minimum required is “7.0”)
– Caffe2: CUDA detected: 8.0
– Caffe2: CUDA nvcc is: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/bin/nvcc.exe
– Caffe2: CUDA toolkit directory: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0
– Caffe2: Header version is: 8.0
– Found CUDNN: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/include
– Found cuDNN: v7.0.5 (include: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/include, library: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cudnn.lib)
CMake Warning at cmake/public/utils.cmake:148 (message):
In the future we will require one to explicitly pass TORCH_CUDA_ARCH_LIST
to cmake instead of implicitly setting it as an env variable. This will
become a FATAL_ERROR in future version of pytorch.
Call Stack (most recent call first):
cmake/public/cuda.cmake:332 (torch_cuda_get_nvcc_gencode_flag)
cmake/Dependencies.cmake:433 (include)
CMakeLists.txt:181 (include)
CMake Error at cmake/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake:168 (message):
Unknown CUDA Architecture Name “6.1” in CUDA_SELECT_NVCC_ARCH_FLAGS
Call Stack (most recent call first):
cmake/public/utils.cmake:164 (cuda_select_nvcc_arch_flags)
cmake/public/cuda.cmake:332 (torch_cuda_get_nvcc_gencode_flag)
cmake/Dependencies.cmake:433 (include)
CMakeLists.txt:181 (include)
CMake Error at cmake/Modules_CUDA_fix/upstream/FindCUDA/select_compute_arch.cmake:172 (message):
arch_bin wasn’t set for some reason
Call Stack (most recent call first):
cmake/public/utils.cmake:164 (cuda_select_nvcc_arch_flags)
cmake/public/cuda.cmake:332 (torch_cuda_get_nvcc_gencode_flag)
cmake/Dependencies.cmake:433 (include)
CMakeLists.txt:181 (include)
– Added CUDA NVCC flags for:
CMake Warning at cmake/Dependencies.cmake:543 (message):
NCCL is currently only supported under Linux.
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
– Could NOT find CUB (missing: CUB_INCLUDE_DIR)
CMake Warning at cmake/Dependencies.cmake:563 (message):
Gloo can only be used on Linux.
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
CMake Warning at cmake/Dependencies.cmake:623 (message):
mobile opengl is only used in android or ios builds.
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
CMake Warning at cmake/Dependencies.cmake:699 (message):
Metal is only used in ios builds.
Call Stack (most recent call first):
CMakeLists.txt:181 (include)
– NCCL operators skipped due to no CUDA support
– Excluding ideep operators as we are not using ideep
– Excluding image processing operators due to no opencv
– Excluding video processing operators due to no opencv
– Excluding mkl operators as we are not using mkl
– MPI operators skipped due to no MPI support
– Include Observer library
– Using Lib\site-packages as python relative installation path
– Automatically generating missing init.py files.
CMake Warning at CMakeLists.txt:341 (message):
Generated cmake files are only fully tested if one builds with system glog,
gflags, and protobuf. Other settings may generate files that are not well
tested.
CMake Warning at CMakeLists.txt:390 (message):
Generated cmake files are only available when building shared libs.
–
– ******** Summary ********
– General:
– CMake version : 3.12.0-rc2
– CMake command : C:/Program Files/CMake/bin/cmake.exe
– Git version : v0.1.11-9211-gf87499a8f-dirty
– System : Windows
– C++ compiler : D:/Program Files/Microsoft Visual Studio 14.0/VC/bin/x86_amd64/cl.exe
– C++ compiler version : 19.0.24215.1
– BLAS : Eigen
– CXX flags : /DWIN32 /D_WINDOWS /W3 /GR /EHsc -DONNX_NAMESPACE=onnx_c2 /MP /bigobj
– Build type : Release
– Compile definitions :
– CMAKE_PREFIX_PATH :
– CMAKE_INSTALL_PREFIX : C:/Program Files/Caffe2
– BUILD_CAFFE2 : ON
– BUILD_ATEN : OFF
– BUILD_BINARY : ON
– BUILD_CUSTOM_PROTOBUF : ON
– Protobuf compiler :
– Protobuf includes :
– Protobuf libraries :
– BUILD_DOCS : OFF
– BUILD_PYTHON : ON
– Python version : 2.7.14
– Python includes : C:/Python27/include
– BUILD_SHARED_LIBS : OFF
– BUILD_TEST : OFF
– USE_ASAN : OFF
– USE_ATEN : OFF
– USE_CUDA : ON
– CUDA static link : OFF
– USE_CUDNN : ON
– CUDA version : 8.0
– cuDNN version : 7.0.5
– CUDA root directory : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0
– CUDA library : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cuda.lib
– cudart library : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cudart_static.lib
– cublas library : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cublas.lib;C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cublas_device.lib
– cufft library : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cufft.lib
– curand library : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/curand.lib
– cuDNN library : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/cudnn.lib
– nvrtc : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/lib/x64/nvrtc.lib
– CUDA include path : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/include
– NVCC executable : C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/bin/nvcc.exe
– CUDA host compiler : $(VCInstallDir)bin
– USE_TENSORRT : OFF
– USE_ROCM : OFF
– USE_EIGEN_FOR_BLAS : ON
– USE_FFMPEG : OFF
– USE_GFLAGS : OFF
– USE_GLOG : OFF
– USE_GLOO : OFF
– USE_LEVELDB : OFF
– USE_LITE_PROTO : OFF
– USE_LMDB : OFF
– USE_METAL : OFF
– USE_MKL :
– USE_MOBILE_OPENGL : OFF
– USE_MPI : OFF
– USE_NCCL : OFF
– USE_NERVANA_GPU : OFF
– USE_NNPACK : OFF
– USE_OBSERVERS : ON
– USE_OPENCL : OFF
– USE_OPENCV : OFF
– USE_OPENMP : OFF
– USE_PROF : OFF
– USE_REDIS : OFF
– USE_ROCKSDB : OFF
– USE_ZMQ : OFF
– Public Dependencies : Threads::Threads
– Private Dependencies : cpuinfo;onnxifi_loader
– Configuring incomplete, errors occurred!
See also “D:/Yeverino/git_projects/pytorch/build/CMakeFiles/CMakeOutput.log”.
See also “D:/Yeverino/git_projects/pytorch/build/CMakeFiles/CMakeError.log”.
“Caffe2 building failed”