[ci skip]

README.md

@@ -37,39 +37,41 @@ 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 1.10.0
+#### PyTorch 1.11
 
-To install the binaries for PyTorch 1.10.0, simply run
+To install the binaries for PyTorch 1.11.0, simply run
 
 ```
-pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.10.0+${CUDA}.html
+pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.11.0+${CUDA}.html
 ```
 
-where `${CUDA}` should be replaced by either `cpu`, `cu102`, or `cu113` depending on your PyTorch installation.
+where `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu113`, or `cu115` depending on your PyTorch installation.
 
-|             | `cpu` | `cu102` | `cu113` |
-|-------------|-------|---------|---------|
-| **Linux**   | ✅    | ✅      | ✅      |
-| **Windows** | ✅    | ✅      | ✅      |
-| **macOS**   | ✅    |         |         |
+|             | `cpu` | `cu102` | `cu113` | `cu115` |
+|-------------|-------|---------|---------|---------|
+| **Linux**   | ✅    | ✅      | ✅      | ✅      |
+| **Windows** | ✅    |         | ✅      | ✅      |
+| **macOS**   | ✅    |         |         |         |
 
-#### PyTorch 1.9.0/1.9.1
+#### PyTorch 1.10
 
-To install the binaries for PyTorch 1.9.0 and 1.9.1, simply run
+To install the binaries for PyTorch 1.10.0, PyTorch 1.10.1 and PyTorch 1.10.2, 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`, `cu111`, or `cu113` depending on your PyTorch installation.
 
-|             | `cpu` | `cu102` | `cu111` |
-|-------------|-------|---------|---------|
-| **Linux**   | ✅    | ✅      | ✅      |
-| **Windows** | ✅    | ✅      | ✅      |
-| **macOS**   | ✅    |         |         |
+|             | `cpu` | `cu102` | `cu111` | `cu113` |
+|-------------|-------|---------|---------|---------|
+| **Linux**   | ✅    | ✅      | ✅      | ✅      |
+| **Windows** | ✅    | ✅      | ✅      | ✅      |
+| **macOS**   | ✅    |         |         |         |
 
-**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 1.8.0/1.8.1 (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, PyTorch 1.8.0/1.8.1 and PyTorch 1.9.0 (following the same procedure).
+For older versions, you might need to explicitly specify the latest supported version number in order to prevent a manual installation from source.
+You can look up the latest supported version number [here](https://data.pyg.org/whl).
 
 ### From source
 
@@ -185,7 +187,7 @@ Please cite our paper if you use this code in your own work:
 ## Running tests
 
 ```
-python setup.py test
+pytest
 ```
 
 ## C++ API