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Update install instructions
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README.md

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@@ -55,19 +55,19 @@ source functorch-env/bin/activate
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Next, install one of the following following PyTorch nightly binaries.
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```
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# For CUDA 10.2
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pip install --pre torch -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html
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pip install --pre torch -f https://download.pytorch.org/whl/nightly/cu102/torch_nightly.html --upgrade
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# For CUDA 11.1
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pip install --pre torch -f https://download.pytorch.org/whl/nightly/cu111/torch_nightly.html
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pip install --pre torch -f https://download.pytorch.org/whl/nightly/cu111/torch_nightly.html --upgrade
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# For CPU-only build
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pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
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pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html --upgrade
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```
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If you already have a nightly of PyTorch installed and wanted to upgrade it
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(recommended!), append `--upgrade` to one of those commands.
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Install functorch:
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```
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pip install ninja # Makes the build go faster
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pip install --user "git+https://github.com/facebookresearch/functorch.git"
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pip install --user "git+https://github.com/pytorch/functorch.git"
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```
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Run a quick sanity check in python:
@@ -292,7 +292,7 @@ If you use functorch in your publication, please cite it by using the following
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@Misc{functorch2021,
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author = {Horace He, Richard Zou},
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title = {functorch: JAX-like composable function transforms for PyTorch},
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howpublished = {\url{https://github.com/facebookresearch/functorch}},
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howpublished = {\url{https://github.com/pytorch/functorch}},
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year = {2021}
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}
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```

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