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update readme and contributing.md (#63843)
Summary: 1. In fact, Visual Studio isn't supported as CMAKE generator 2. I was asked many times why there's error as 'Could NOT find OpenMP' 3. Add Newly added Best Practices link in contributing.md Pull Request resolved: https://github.com/pytorch/pytorch/pull/63843 Reviewed By: seemethere, heitorschueroff Differential Revision: D30514095 Pulled By: janeyx99 fbshipit-source-id: 76715a1d8c049122546e5a7778cafe54e4dfd5d6
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@ -197,6 +197,7 @@ with `brew install cmake` if you are developing on MacOS or Linux system.
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Could not find .../pytorch/third_party/pybind11/CMakeLists.txt
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```
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remove any `submodule.*` settings in your local git config (`.git/config` of your pytorch repo) and try again.
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* If you're a Windows contributor, please check out [Best Practices](https://github.com/pytorch/pytorch/wiki/Best-Practices-to-Edit-and-Compile-Pytorch-Source-Code-On-Windows).
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## Nightly Checkout & Pull
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@ -291,9 +291,10 @@ You can refer to the [build_pytorch.bat](https://github.com/pytorch/pytorch/blob
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```cmd
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cmd
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:: [Optional] If you want to build with the VS 2017 generator for old CUDA and PyTorch, please change the value in the next line to `Visual Studio 15 2017`.
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:: Note: This value is useless if Ninja is detected. However, you can force that by using `set USE_NINJA=OFF`.
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set CMAKE_GENERATOR=Visual Studio 16 2019
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:: Set the environment variables after you have downloaded and upzipped the mkl package,
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:: else CMake would throw error as `Could NOT find OpenMP`.
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set CMAKE_INCLUDE_PATH={Your directory}\mkl\include
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set LIB={Your directory}\mkl\lib;%LIB%
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:: Read the content in the previous section carefully before you proceed.
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:: [Optional] If you want to override the underlying toolset used by Ninja and Visual Studio with CUDA, please run the following script block.
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