Awesome

pyg-lib

Installation

Installation

We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.8 till 3.12, 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 either 1.12.0, 1.13.0, 2.0.0, 2.1.0, 2.2.0, or 2.3.0
${CUDA} should be replaced by either cpu, cu102, cu113, cu116, cu117, cu118, or cu121

The following combinations are supported:

PyTorch 2.3	`cpu`	`cu118`	`cu121`
Linux	✅	✅	✅
Windows	✅	✅	✅
macOS	✅

PyTorch 2.2	`cpu`	`cu118`	`cu121`
Linux	✅	✅	✅
Windows	✅	✅	✅
macOS	✅

PyTorch 2.1	`cpu`	`cu118`	`cu121`
Linux	✅	✅	✅
Windows	✅	✅	✅
macOS	✅

PyTorch 2.0	`cpu`	`cu117`	`cu118`	`cu121`
Linux	✅	✅	✅	✅
Windows	✅	✅	✅
macOS	✅

PyTorch 1.13	`cpu`	`cu116`	`cu117`
Linux	✅	✅	✅
Windows	✅	✅	✅
macOS	✅

PyTorch 1.12	`cpu`	`cu102`	`cu113`	`cu116`
Linux	✅	✅	✅	✅
Windows	✅	✅	✅	✅
macOS	✅

Form nightly

Nightly wheels are provided for Linux from Python 3.8 till 3.12:

pip install pyg-lib -f https://data.pyg.org/whl/nightly/torch-${TORCH}+${CUDA}.html

From master

pip install ninja wheel
pip install git+https://github.com/pyg-team/pyg-lib.git