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update readme [ci skip]
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README.md

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@@ -42,6 +42,22 @@ All included operations are broadcastable, work on varying data types, are imple
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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+${CUDA} -f https://pytorch-geometric.com/whl/torch-1.6.0.html
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```
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where `${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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### From source
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Ensure that at least PyTorch 1.4.0 is installed and verify that `cuda/bin` and `cuda/include` are in your `$PATH` and `$CPATH` respectively, *e.g.*:
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Ensure that at least PyTorch 1.5.0 is installed and verify that `cuda/bin` and `cuda/include` are in your `$PATH` and `$CPATH` respectively, *e.g.*:
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```
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$ python -c "import torch; print(torch.__version__)"
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>>> 1.4.0
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>>> 1.5.0
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$ echo $PATH
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>>> /usr/local/cuda/bin:...

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