update

.github/workflows/linting.yml

@@ -17,7 +17,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v2
         with:
-          python-version: 3.9
+          python-version: 3.8
 
       - name: Install dependencies
         run: |
@@ -32,7 +32,7 @@ jobs:
 
     strategy:
       matrix:
-        torch-version: [1.13.0]
+        torch-version: [2.0.0]
 
     steps:
       - uses: actions/checkout@v2
@@ -40,7 +40,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v2
         with:
-          python-version: 3.9
+          python-version: 3.8
 
       - name: Install PyTorch ${{ matrix.torch-version }}
         run: |

.github/workflows/testing.yml

@@ -15,8 +15,8 @@ jobs:
       fail-fast: false
       matrix:
         os: [ubuntu-latest, windows-latest]
-        python-version: [3.7]
-        torch-version: [1.12.0, 1.13.0]
+        python-version: [3.8]
+        torch-version: [1.13.0, 2.0.0]
 
     steps:
       - uses: actions/checkout@v2

CMakeLists.txt

 cmake_minimum_required(VERSION 3.0)
 project(torchsplineconv)
 set(CMAKE_CXX_STANDARD 14)
-set(TORCHSPLINECONV_VERSION 1.2.1)
+set(TORCHSPLINECONV_VERSION 1.2.2)
 
 option(WITH_CUDA "Enable CUDA support" OFF)
 

README.md

@@ -37,6 +37,22 @@ 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 2.0
+
+To install the binaries for PyTorch 2.0.0, simply run
+
+```
+pip install torch-spline-conv -f https://data.pyg.org/whl/torch-2.0.0+${CUDA}.html
+```
+
+where `${CUDA}` should be replaced by either `cpu`, `cu117`, or `cu118` depending on your PyTorch installation.
+
+|             | `cpu` | `cu117` | `cu118` |
+|-------------|-------|---------|---------|
+| **Linux**   | ✅    | ✅      | ✅      |
+| **Windows** | ✅    | ✅      | ✅      |
+| **macOS**   | ✅    |         |         |
+
 #### PyTorch 1.13
 
 To install the binaries for PyTorch 1.13.0, simply run
@@ -69,7 +85,7 @@ where `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu113`, or `cu116`
 | **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, PyTorch 1.8.0/1.8.1, PyTorch 1.9.0, PyTorch 1.10.0/1.10.1/1.10.2 and PyTorch 1.11.0 (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, PyTorch 1.9.0, PyTorch 1.10.0/1.10.1/1.10.2, PyTorch 1.11.0, and PyTorch 1.12.0/1.12.1 (following the same procedure).
 For older versions, you need to explicitly specify the latest supported version number or install via `pip install --no-index` in order to prevent a manual installation from source.
 You can look up the latest supported version number [here](https://data.pyg.org/whl).
 

conda/pytorch-spline-conv/meta.yaml

 package:
   name: pytorch-spline-conv
-  version: 1.2.1
+  version: 1.2.2
 
 source:
   path: ../..

setup.py

@@ -11,7 +11,7 @@ from torch.__config__ import parallel_info
 from torch.utils.cpp_extension import (CUDA_HOME, BuildExtension, CppExtension,
                                        CUDAExtension)
 
-__version__ = '1.2.1'
+__version__ = '1.2.2'
 URL = 'https://github.com/rusty1s/pytorch_spline_conv'
 
 WITH_CUDA = False

torch_spline_conv/__init__.py

@@ -3,7 +3,7 @@ import os.path as osp
 
 import torch
 
-__version__ = '1.2.1'
+__version__ = '1.2.2'
 
 for library in ['_version', '_basis', '_weighting']:
     cuda_spec = importlib.machinery.PathFinder().find_spec(