pyg-lib
Installation
We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.8 till 3.11, see here. Note that currently, Windows wheels are not supported (we are working on fixing this as soon as possible).
To install the wheels, simply run
pip install pyg-lib -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html
where
${TORCH}should be replaced by either1.12.0,1.13.0,2.0.0or2.1.0${CUDA}should be replaced by eithercpu,cu102,cu113,cu116,cu117,cu118orcu121
The following combinations are supported:
| PyTorch 2.1 | cpu |
cu102 |
cu113 |
cu116 |
cu117 |
cu118 |
cu121 |
|---|---|---|---|---|---|---|---|
| Linux | ✅ | ✅ | ✅ | ||||
| Windows | |||||||
| macOS | ✅ |
| PyTorch 2.0 | cpu |
cu102 |
cu113 |
cu116 |
cu117 |
cu118 |
cu121 |
|---|---|---|---|---|---|---|---|
| Linux | ✅ | ✅ | ✅ | ||||
| Windows | |||||||
| macOS | ✅ |
| PyTorch 1.13 | cpu |
cu102 |
cu113 |
cu116 |
cu117 |
cu118 |
cu121 |
|---|---|---|---|---|---|---|---|
| Linux | ✅ | ✅ | ✅ | ||||
| Windows | |||||||
| macOS | ✅ |
| PyTorch 1.12 | cpu |
cu102 |
cu113 |
cu116 |
cu117 |
cu118 |
cu121 |
|---|---|---|---|---|---|---|---|
| Linux | ✅ | ✅ | ✅ | ✅ | |||
| Windows | |||||||
| macOS | ✅ |
Form nightly
Nightly wheels are provided for Linux from Python 3.8 till 3.11:
pip install pyg-lib -f https://data.pyg.org/whl/nightly/torch-${TORCH}+${CUDA}.html
From master
pip install git+https://github.com/pyg-team/pyg-lib.git