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[Doc] update guide install mkl-static from conda to pip (#130026)

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Conda intel channel is not avaliable now.
Use `pip` install instead of `conda`.

`Windows` and `Linux` are avaliable:
Binary list: https://pypi.org/project/mkl-static/#files

`MacOS` is avaliable for old version:
https://pypi.org/project/mkl-static/2021.3.0/#files

TODO:
1. cherry-pick to `release/2.4` branch, @atalman .
2. fix it also in `release/2.3` branch: https://github.com/pytorch/pytorch/pull/131853

Pull Request resolved: https://github.com/pytorch/pytorch/pull/130026
Approved by: https://github.com/jgong5, https://github.com/atalman
This commit is contained in:
Xu Han
2024-07-29 19:19:12 +00:00
committed by PyTorch MergeBot
parent 301ec32ae8
commit 484852c02b
1 changed files with 3 additions and 3 deletions
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6
README.md
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@ -207,7 +207,7 @@ pip install -r requirements.txt
**On Linux**
```bash
conda install intel::mkl-static intel::mkl-include
pip install mkl-static mkl-include
# CUDA only: Add LAPACK support for the GPU if needed
conda install -c pytorch magma-cuda121 # or the magma-cuda* that matches your CUDA version from https://anaconda.org/pytorch/repo
@ -221,7 +221,7 @@ make triton
```bash
# Add this package on intel x86 processor machines only
conda install intel::mkl-static intel::mkl-include
pip install mkl-static mkl-include
# Add these packages if torch.distributed is needed
conda install pkg-config libuv
```
@ -229,7 +229,7 @@ conda install pkg-config libuv
**On Windows**
```bash
conda install intel::mkl-static intel::mkl-include
pip install mkl-static mkl-include
# Add these packages if torch.distributed is needed.
# Distributed package support on Windows is a prototype feature and is subject to changes.
conda install -c conda-forge libuv=1.39