Compiling CPP/CUDA extension on a windows system

flyerjia · October 18, 2019, 6:57am

Hi, i am trying to compile cpp/cuda extension on my windows systems. I met one error about pybind11, and i don’t konw how to deal with it, can you help me ?
d:\anaconda3\lib\site-packages\torch\lib\include\pybind11\cast.h(1453): error: expression must be a pointer to a complete object type

peterjc123 · October 29, 2019, 5:34am

github.com/pytorch/pytorch

CUDA Extension Build Failure on Windows and MSVC 2017

opened 05:19PM - 29 Aug 18 UTC

closed 11:54AM - 18 Oct 22 UTC

JackHunt

module: dependency bug module: windows module: cpp-extensions module: cuda triaged module: pybind has workaround

## Issue description Building a custom CUDA extension fails with the followin…g error on MSVC 2017: `<env_lib_dir>\site-packages\torch\lib\include\pybind11\cast.h(1393): error: expression must be a pointer to a complete object type` However, I have not observed the error with multiple GCC versions on Linux. ## Code example Here is an MWE. setup.py ``` import os from setuptools import setup from torch.utils.cpp_extension import CppExtension, CUDAExtension, BuildExtension setup(name='exten', ext_modules=[ CUDAExtension('exten_cuda', ['exten_cuda.cpp', 'exten_cuda_kernel.cu']) ], cmdclass={'build_ext': BuildExtension}) ``` exten_cuda.cpp ``` std::vector<at::Tensor> exten_cuda_forward(at::Tensor a); std::vector<at::Tensor> exten_cuda_backward(at::Tensor a); std::vector<at::Tensor> exten_forward(at::Tensor a) { return exten_cuda_forward(a); } std::vector<at::Tensor> exten_backward(at::Tensor a) { return exten_cuda_backward(a); } // Do Python bindings. PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { m.def("forward", &exten_forward, "Extension forward CUDA"); m.def("backward", &exten_backward, "Extension backward CUDA"); } ``` exten_cuda_kernel.cu ``` #include <torch/torch.h> #include <cuda.h> #include <cuda_runtime.h> #include <vector> std::vector<at::Tensor> exten_cuda_forward(at::Tensor a) { // Do nothing. // Return empty vector (just for compile error demo). return {}; } std::vector<at::Tensor> exten_cuda_backward(at::Tensor a) { // Do nothing. // Return empty vector (just for compile error demo). return {}; } ``` ## System Info ``` Collecting environment information... PyTorch version: 0.4.1 Is debug build: No CUDA used to build PyTorch: 9.2 OS: Microsoft Windows 10 Education GCC version: (x86_64-posix-seh, Built by strawberryperl.com project) 7.1.0 CMake version: version 3.12.0 Python version: 3.7 Is CUDA available: Yes CUDA runtime version: 9.2.148 GPU models and configuration: GPU 0: GeForce GTX 1060 6GB Nvidia driver version: 399.07 cuDNN version: Could not collect Versions of relevant libraries: [pip] numpy (1.15.1) [pip] torch (0.4.1) [pip] torchvision (0.2.1) [conda] cuda92 1.0 0 pytorch [conda] pytorch 0.4.1 py37_cuda92_cudnn7he774522_1 [cuda92] pytorch [conda] torchvision 0.2.1 <pip> ``` - PyTorch or Caffe2: PyTorch - How you installed PyTorch (conda, pip, source): conda - OS: Windows 10 x64 - PyTorch version: 0.4.1 - Python version: 3.7 - CUDA/cuDNN version: 9.2 - GPU models and configuration: GTX 1060 6GB - MSVC version (if compiling from source): 15.7.5 - CMake version: 3.12.0 - Versions of any other relevant libraries: setuptools 0.2.1