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rusty1s merged 3 commits into from
Mar 9, 2026
Merged

Add PyTorch 2.9/2.10 and cu130 support #408

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rusty1s Mar 9, 2026
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rusty1s Mar 9, 2026
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rusty1s Mar 9, 2026
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35 changes: 8 additions & 27 deletions .github/workflows/building.yml
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Expand Up @@ -15,42 +15,24 @@ jobs:
fail-fast: false
matrix:
os: [ubuntu-22.04, macos-14, windows-2022, ubuntu-22.04-arm]
python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
torch-version: [2.8.0]
cuda-version: ['cpu', 'cu118', 'cu124', 'cu126', 'cu128', 'cu129']
python-version: ['3.10', '3.11', '3.12', '3.13', '3.14']
torch-version: [2.9.0, 2.10.0]
cuda-version: ['cpu', 'cu126', 'cu128', 'cu130']
exclude:
- torch-version: 2.6.0
cuda-version: 'cu128'
- torch-version: 2.6.0
cuda-version: 'cu129'
- torch-version: 2.7.0
cuda-version: 'cu124'
- torch-version: 2.7.0
cuda-version: 'cu129'
- torch-version: 2.8.0
cuda-version: 'cu118'
- torch-version: 2.8.0
cuda-version: 'cu124'
- os: macos-14
cuda-version: 'cu118'
- os: macos-14
cuda-version: 'cu124'
- os: windows-2022
cuda-version: 'cu130'
- os: macos-14
cuda-version: 'cu126'
- os: macos-14
cuda-version: 'cu128'
- os: macos-14
cuda-version: 'cu129'
- os: ubuntu-22.04-arm
cuda-version: 'cu118'
- os: ubuntu-22.04-arm
cuda-version: 'cu124'
cuda-version: 'cu130'
- os: ubuntu-22.04-arm
cuda-version: 'cu126'
- os: ubuntu-22.04-arm
cuda-version: 'cu128'
- os: ubuntu-22.04-arm
cuda-version: 'cu129'
cuda-version: 'cu130'

steps:
- uses: actions/checkout@v4
Expand All @@ -68,9 +50,8 @@ jobs:
pip install wheel

- name: Install scipy
if: ${{ matrix.python-version == '3.9' }}
run: |
pip install scipy==1.10.1
pip install scipy

- name: Free Disk Space (Ubuntu)
if: ${{ runner.os == 'Linux' }}
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8 changes: 8 additions & 0 deletions .github/workflows/cuda/cu130-Linux-env.sh
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@@ -0,0 +1,8 @@
#!/bin/bash

CUDA_HOME=/usr/local/cuda-13.0
LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
PATH=${CUDA_HOME}/bin:${PATH}

export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="7.5;8.0;8.6;9.0;10.0;12.0+PTX"
17 changes: 17 additions & 0 deletions .github/workflows/cuda/cu130-Linux.sh
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@@ -0,0 +1,17 @@
#!/bin/bash

OS=ubuntu2204

wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600

wget -nv https://developer.download.nvidia.com/compute/cuda/13.0.2/local_installers/cuda-repo-${OS}-13-0-local_13.0.2-580.95.05-1_amd64.deb

sudo dpkg -i cuda-repo-${OS}-13-0-local_13.0.2-580.95.05-1_amd64.deb
sudo cp /var/cuda-repo-${OS}-13-0-local/cuda-*-keyring.gpg /usr/share/keyrings/

sudo apt-get -qq update
sudo apt install cuda-nvcc-13-0 cuda-libraries-dev-13-0
sudo apt clean

rm -f *.deb
1 change: 1 addition & 0 deletions .github/workflows/metis.sh
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Expand Up @@ -9,6 +9,7 @@ cd "${METIS}" || exit
sed -i.bak -e 's/IDXTYPEWIDTH 32/IDXTYPEWIDTH 64/g' include/metis.h
sed -i '1s/^/#if defined(__linux__) \&\& defined(__x86_64__)\n__asm__(".symver log,log@GLIBC_2.2.5");\n#endif\n/' GKlib/gk_proto.h
sed -i '1s/^/#if defined(__linux__) \&\& defined(__x86_64__)\n__asm__(".symver pow,pow@GLIBC_2.2.5");\n#endif\n/' libmetis/metislib.h
sed -i.bak 's/cmake_minimum_required(VERSION 2\.8)/cmake_minimum_required(VERSION 3.5)/' CMakeLists.txt GKlib/CMakeLists.txt

make config
make
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7 changes: 3 additions & 4 deletions .github/workflows/testing.yml
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Expand Up @@ -19,8 +19,8 @@ jobs:
fail-fast: false
matrix:
os: [ubuntu-latest, windows-2022]
python-version: [3.9]
torch-version: [2.7.0, 2.8.0]
python-version: ['3.10']
torch-version: [2.9.0, 2.10.0]

steps:
- uses: actions/checkout@v4
Expand Down Expand Up @@ -53,9 +53,8 @@ jobs:
echo WITH_METIS=0 >> $GITHUB_ENV

- name: Install scipy
if: ${{ matrix.python-version == '3.9' }}
run: |
pip install scipy==1.10.1
pip install scipy

- name: Install main package
run: |
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32 changes: 16 additions & 16 deletions README.md
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Expand Up @@ -34,55 +34,55 @@ Note that only `value` comes with autograd support, as `index` is discrete and t

We provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).

#### PyTorch 2.8
#### PyTorch 2.10

To install the binaries for PyTorch 2.8.0, simply run
To install the binaries for PyTorch 2.10, simply run

```
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.8.0+${CUDA}.html
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.10.0+${CUDA}.html
```

where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu129` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu130` depending on your PyTorch installation.

| | `cpu` | `cu126` | `cu128` | `cu129` |
| | `cpu` | `cu126` | `cu128` | `cu130` |
|-------------|-------|---------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ | ✅ |
| **Windows** | ✅ | ✅ | ✅ | ✅ |
| **macOS** | ✅ | | | |

#### PyTorch 2.7
#### PyTorch 2.9

To install the binaries for PyTorch 2.7.0, simply run
To install the binaries for PyTorch 2.9, simply run

```
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.7.0+${CUDA}.html
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.9.0+${CUDA}.html
```

where `${CUDA}` should be replaced by either `cpu`, `cu118`, `cu126`, or `cu128` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu130` depending on your PyTorch installation.

| | `cpu` | `cu118` | `cu126` | `cu128` |
| | `cpu` | `cu126` | `cu128` | `cu130` |
|-------------|-------|---------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ | ✅ |
| **Windows** | ✅ | ✅ | ✅ | ✅ |
| **macOS** | ✅ | | | |

#### PyTorch 2.6
#### PyTorch 2.8

To install the binaries for PyTorch 2.6.0, simply run
To install the binaries for PyTorch 2.8, simply run

```
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.6.0+${CUDA}.html
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.8.0+${CUDA}.html
```

where `${CUDA}` should be replaced by either `cpu`, `cu118`, `cu124`, or `cu126` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu126`, `cu128`, or `cu129` depending on your PyTorch installation.

| | `cpu` | `cu118` | `cu124` | `cu126` |
| | `cpu` | `cu126` | `cu128` | `cu129` |
|-------------|-------|---------|---------|---------|
| **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, 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, PyTorch 2.1.0/2.1.1/2.1.2, PyTorch 2.2.0/2.2.1/2.2.2, PyTorch 2.3.0/2.3.1, PyTorch 2.4.0/2.4.1, and PyTorch 2.5.0/2.5.1 (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, 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, PyTorch 2.1.0/2.1.1/2.1.2, PyTorch 2.2.0/2.2.1/2.2.2, PyTorch 2.3.0/2.3.1, PyTorch 2.4.0/2.4.1, PyTorch 2.5.0/2.5.1, PyTorch 2.6.0, and PyTorch 2.7.0/2.7.1 (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).

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3 changes: 3 additions & 0 deletions setup.py
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Expand Up @@ -92,6 +92,9 @@ def get_extensions():
nvcc_flags = os.getenv('NVCC_FLAGS', '')
nvcc_flags = [] if nvcc_flags == '' else nvcc_flags.split(' ')
nvcc_flags += ['-O3']
nvcc_flags += ['-DTORCH_INDUCTOR_CPP_WRAPPER']
if sys.platform == 'win32':
nvcc_flags += ['-Xcompiler', '/permissive-']
if torch.version.hip:
# USE_ROCM was added to later versions of PyTorch
# Define here to support older PyTorch versions as well:
Expand Down