pyg-library

Low-Level Graph Neural Network Operators for PyG


Keywords
deep-learning, pytorch, geometric-deep-learning, graph-neural-networks, graph-convolutional-networks
License
MIT
Install
pip install pyg-library==0.2.0

Documentation

pyg-lib

Testing Status Docs Status Code Coverage

Installation

We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.7 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 either 1.11.0, 1.12.0, 1.13.0 or 2.0.0
  • ${CUDA} should be replaced by either cpu, cu102, cu113, cu115, cu116, cu117 or cu118

The following combinations are supported:

PyTorch 2.0 cpu cu102 cu113 cu115 cu116 cu117 cu118
Linux ✅ ✅ ✅
Windows
macOS ✅
PyTorch 1.13 cpu cu102 cu113 cu115 cu116 cu117 cu118
Linux ✅ ✅ ✅
Windows
macOS ✅
PyTorch 1.12 cpu cu102 cu113 cu115 cu116 cu117 cu118
Linux ✅ ✅ ✅ ✅
Windows
macOS ✅
PyTorch 1.11 cpu cu102 cu113 cu115 cu116 cu117 cu118
Linux ✅ ✅ ✅ ✅
Windows
macOS ✅

Form nightly

Nightly wheels are provided for Linux from Python 3.7 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