Commit 8cfbba57 authored by rusty1s's avatar rusty1s
Browse files

[ci skip]

parent ff5208db
......@@ -37,39 +37,39 @@ conda install pytorch-spline-conv -c pyg
We alternatively provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
#### PyTorch 1.9.0
#### PyTorch 1.10.0
To install the binaries for PyTorch 1.9.0, simply run
To install the binaries for PyTorch 1.10.0, simply run
```
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.9.0+${CUDA}.html
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.10.0+${CUDA}.html
```
where `${CUDA}` should be replaced by either `cpu`, `cu102`, or `cu111` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu102`, or `cu113` depending on your PyTorch installation.
| | `cpu` | `cu102` | `cu111` |
| | `cpu` | `cu102` | `cu113` |
|-------------|-------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ |
| **Windows** | ✅ | ✅ | ✅ |
| **macOS** | ✅ | | |
#### PyTorch 1.8.0/1.8.1
#### PyTorch 1.9.0/1.9.1
To install the binaries for PyTorch 1.8.0 and 1.8.1, simply run
To install the binaries for PyTorch 1.9.0 and 1.9.1, simply run
```
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.8.0+${CUDA}.html
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.9.0+${CUDA}.html
```
where `${CUDA}` should be replaced by either `cpu`, `cu101`, `cu102`, or `cu111` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu102`, or `cu111` depending on your PyTorch installation.
| | `cpu` | `cu101` | `cu102` | `cu111` |
|-------------|-------|---------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ | ✅ |
| **Windows** | ✅ | ❌ | ✅ | ✅ |
| **macOS** | ✅ | | | |
| | `cpu` | `cu102` | `cu111` |
|-------------|-------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ |
| **Windows** | ✅ | ✅ | ✅ |
| **macOS** | ✅ | | |
**Note:** Binaries of older versions are also provided for PyTorch 1.4.0, PyTorch 1.5.0, PyTorch 1.6.0 and PyTorch 1.7.0/1.7.1 (following the same procedure).
**Note:** Binaries of older versions are also provided for PyTorch 1.4.0, PyTorch 1.5.0, PyTorch 1.6.0, PyTorch 1.7.0/1.7.1 and PyTorch 1.8.0/PyTorch 1.8.1 (following the same procedure).
### From source
......
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