We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.10 till 3.13, see here.
To install the wheels, simply run
pip install pyg-lib -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html
where
${TORCH}should be replaced by either2.8.0or2.9.0.${CUDA}should be replaced by eithercpu,cu126,cu128,cu129, orcu130
The following combinations are supported:
| PyTorch 2.9 | cpu |
cu126 |
cu128 |
cu129 |
cu130 |
|---|---|---|---|---|---|
| Linux | ✅ | ✅ | ✅ | ✅ | |
| Windows | ✅ | ✅ | ✅ | ✅ | |
| macOS | ✅ |
| PyTorch 2.8 | cpu |
cu126 |
cu128 |
cu129 |
cu130 |
|---|---|---|---|---|---|
| Linux | ✅ | ✅ | ✅ | ✅ | |
| Windows | ✅ | ✅ | ✅ | ✅ | |
| macOS | ✅ |
Nightly wheels are provided for Linux from Python 3.10 till 3.13:
pip install pyg-lib -f https://data.pyg.org/whl/nightly/torch-${TORCH}+${CUDA}.html
pip install ninja wheel
pip install --no-build-isolation git+https://github.com/pyg-team/pyg-lib.git