update

.github/workflows/building-conda.yml

@@ -11,23 +11,14 @@ jobs:
       fail-fast: false
       matrix:
         # We have trouble building for Windows - drop for now.
-        os: [ubuntu-20.04, macos-11]  # windows-2019
+        os: [ubuntu-20.04]  # windows-2019
         python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
-        torch-version: [2.2.0]  # [2.1.0, 2.2.0]
+        torch-version: [2.3.0]  # [2.1.0, 2.2.0, 2.3.0]
         cuda-version: ['cpu', 'cu118', 'cu121']
         exclude:
           - python-version: '3.12'  # Python 3.12 not yet supported in `conda-build`.
           - torch-version: 2.1.0
             python-version: '3.12'
-          - os: macos-11
-            cuda-version: 'cu118'
-          - os: macos-11
-            cuda-version: 'cu121'
-            # Fails with:
-            # * note: 'value' has been explicitly marked unavailable here
-            # * error: 'value' is unavailable: introduced in macOS 10.13
-          - torch-version: 2.2.0
-            os: macos-11
 
     steps:
       - uses: actions/checkout@v2

.github/workflows/building.yml

@@ -10,9 +10,9 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-20.04, macos-11, windows-2019]
+        os: [ubuntu-20.04, macos-14, windows-2019]
         python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
-        torch-version: [2.2.0]  # [2.1.0, 2.2.0]
+        torch-version: [2.3.0]  # [2.1.0, 2.2.0, 2.3.0]
         cuda-version: ['cpu', 'cu118', 'cu121']
         exclude:
           - torch-version: 2.1.0
@@ -21,13 +21,6 @@ jobs:
             cuda-version: 'cu118'
           - os: macos-11
             cuda-version: 'cu121'
-            # Fails with:
-            # * note: 'value' has been explicitly marked unavailable here
-            # * error: 'value' is unavailable: introduced in macOS 10.13
-          - os: macos-11
-            python-version: '3.11'
-          - os: macos-11
-            python-version: '3.12'
 
     steps:
       - uses: actions/checkout@v2

.github/workflows/testing.yml

@@ -16,7 +16,7 @@ jobs:
       matrix:
         os: [ubuntu-latest, windows-latest]
         python-version: [3.8]
-        torch-version: [2.1.0, 2.2.0]
+        torch-version: [2.2.0, 2.3.0]
 
     steps:
       - uses: actions/checkout@v2
@@ -44,7 +44,7 @@ jobs:
           pytest --cov --cov-report=xml
 
       - name: Upload coverage
-        uses: codecov/codecov-action@v1
+        uses: codecov/codecov-action@v4
         if: success()
         with:
           fail_ci_if_error: false

README.md

@@ -43,12 +43,12 @@ conda install pytorch-cluster -c pyg
 
 We alternatively provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
 
-#### PyTorch 2.2
+#### PyTorch 2.3
 
-To install the binaries for PyTorch 2.2.0, simply run
+To install the binaries for PyTorch 2.3.0, simply run
 
 ```
-pip install torch-cluster -f https://data.pyg.org/whl/torch-2.2.0+${CUDA}.html
+pip install torch-cluster -f https://data.pyg.org/whl/torch-2.3.0+${CUDA}.html
 ```
 
 where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` depending on your PyTorch installation.
@@ -59,12 +59,12 @@ where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` dependin
 | **Windows** | ✅    | ✅      | ✅      |
 | **macOS**   | ✅    |         |         |
 
-#### PyTorch 2.1
+#### PyTorch 2.2
 
-To install the binaries for PyTorch 2.1.0, simply run
+To install the binaries for PyTorch 2.2.0, simply run
 
 ```
-pip install torch-cluster -f https://data.pyg.org/whl/torch-2.1.0+${CUDA}.html
+pip install torch-cluster -f https://data.pyg.org/whl/torch-2.2.0+${CUDA}.html
 ```
 
 where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` depending on your PyTorch installation.
@@ -75,7 +75,7 @@ where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` dependin
 | **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, PyTorch 1.11.0, PyTorch 1.12.0/1.12.1, PyTorch 1.13.0/1.13.1, and PyTorch 2.0.0 (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, PyTorch 1.12.0/1.12.1, PyTorch 1.13.0/1.13.1, PyTorch 2.0.0/2.0.1, and PyTorch 2.1.0/2.1.1/2.1.2 (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-cluster/README.md

@@ -1,3 +1,3 @@
 ```
-./build_conda.sh 3.11 2.2.0 cu118  # python, pytorch and cuda version
+./build_conda.sh 3.11 2.3.0 cu118  # python, pytorch and cuda version
 ```

setup.py

@@ -61,9 +61,11 @@ def get_extensions():
             print('Compiling without OpenMP...')
 
         # Compile for mac arm64
-        if (sys.platform == 'darwin' and platform.machine() == 'arm64'):
-            extra_compile_args['cxx'] += ['-arch', 'arm64']
-            extra_link_args += ['-arch', 'arm64']
+        if sys.platform == 'darwin':
+            extra_compile_args['cxx'] += ['-D_LIBCPP_DISABLE_AVAILABILITY']
+            if platform.machine == 'arm64':
+                extra_compile_args['cxx'] += ['-arch', 'arm64']
+                extra_link_args += ['-arch', 'arm64']
 
         if suffix == 'cuda':
             define_macros += [('WITH_CUDA', None)]