pyg-lib

April 6, 2026 · View on GitHub

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Installation

We provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.10 till 3.14, 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 either 2.9.0, 2.10.0, 2.11.0, or 2.12.0
  • ${CUDA} should be replaced by either cpu, cu126, cu128, cu130, or cu132

The following combinations are supported:

PyTorch Nightlycpucu126cu128cu130cu132
Linux✅✅✅✅
Windows✅✅✅✅
macOS
PyTorch 2.11cpucu126cu128cu130
Linux✅✅✅✅
Windows✅✅✅✅
macOS✅
PyTorch 2.10cpucu126cu128cu130
Linux✅✅✅✅
Windows✅✅✅✅
macOS✅
PyTorch 2.9cpucu126cu128cu130
Linux✅✅✅✅
Windows✅✅✅✅
macOS✅

From nightly

Nightly wheels are provided for Linux from Python 3.10 till 3.14:

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

From master

pip install ninja wheel
pip install --no-build-isolation git+https://github.com/pyg-team/pyg-lib.git