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update README.md to reflect current build from source status on master (#92729)

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Signed-off-by: Mike Brown <brownwm@us.ibm.com>

To avoid new contributor issues when building master a couple README.md comments will help... This change:

~~- Documents the current support restriction to apt package `g++-9` #91328 ** noting here that with the commit in https://github.com/pytorch/pytorch/pull/92911 g++-11.3 appears to build and run local tests at least as well as g++9, so this restriction may be overcome with that PR merge depending on success and CI updates.~~ (fixed now)

- Documents wip status for CUDA 12 #91122 (by forwarding to support matrix per suggestion)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/92729
Approved by: https://github.com/kit1980
This commit is contained in:
Mike Brown
2023-06-16 00:20:57 +00:00
committed by PyTorch MergeBot
parent 38f35b4fc3
commit 806a642eb1
1 changed files with 2 additions and 2 deletions
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@ -160,8 +160,8 @@ If you are installing from source, you will need:
We highly recommend installing an [Anaconda](https://www.anaconda.com/distribution/#download-section) environment. You will get a high-quality BLAS library (MKL) and you get controlled dependency versions regardless of your Linux distro.
If you want to compile with CUDA support, install the following (note that CUDA is not supported on macOS)
- [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads) 11.0 or above
If you want to compile with CUDA support, [select a supported version of CUDA from our support matrix](https://pytorch.org/get-started/locally/), then install the following:
- [NVIDIA CUDA](https://developer.nvidia.com/cuda-downloads)
- [NVIDIA cuDNN](https://developer.nvidia.com/cudnn) v7 or above
- [Compiler](https://gist.github.com/ax3l/9489132) compatible with CUDA