Please checkout Pre-release Python Installation for instructions
https://github.com/pytorch/pytorch
Tutorial:https://github.com/pytorch/pytorch#from-source
git clone --recursive https://github.com/pytorch/pytorch cd pytorch git submodule sync git submodule update --init --recursive --jobs 0 |
Starting with Win11, x64 emulation is available for WoA, but for Win10, only x86 host toolchain is available.
We’ve seen that 32-bit linker results in out-of-memory error linking Pytorch.
So the following error is shown if the build is started on Win10:
Warning: 32-bit toolchain will be used, but 64-bit linker is recommended to avoid out-of-memory linker error! Warning: Please consider upgrading to Win11, where x64 emulation is enabled! |
If LLVM is set manually (see below) then the error message is not perfect as the Visual Studio toolchain will be set to 32-bit version, but the manually set toolchain will override that.
python setup.py develop |
LLVM is not supported explicitly by Pytorch.
However if CMake compiler path is set by environment variables, it’s won’t be overwritten by Visual Studio vcvars settings.
$env:CMAKE_C_COMPILER:PATH="c:\\kg\\tools\\LLVM-14.0.0-rc1-woa64\\bin\\clang-cl.exe" $env:CMAKE_CXX_COMPILER:PATH="c:\\kg\\tools\\LLVM-14.0.0-rc1-woa64\\bin\\clang-cl.exe" $env:USE_OPENMP="OFF" python setup.py develop |
python test\test_torch.py |