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update readme [ci skip]
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README.md

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@@ -31,6 +31,22 @@ Note that only `value` comes with autograd support, as `index` is discrete and t
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We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://pytorch-geometric.com/whl).
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#### PyTorch 1.6.0
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To install the binaries for PyTorch 1.6.0, simply run
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```
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pip install torch-scatter==latest+${CUDA} torch-sparse==latest+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.5.0.html
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```
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where `${CUDA}` should be replaced by either `cpu`, `cu92`, `cu101` or `cu102` depending on your PyTorch installation.
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| | `cpu` | `cu92` | `cu101` | `cu102` |
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|-------------|-------|--------|---------|---------|
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| **Linux** |||||
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| **Windows** |||||
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| **macOS** || | | |
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#### PyTorch 1.5.0
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To install the binaries for PyTorch 1.5.0, simply run

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