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pyg-lib's Introduction

pyg-lib

Python Testing Status CPP Testing Status Docs Status Code Coverage

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, or 2.2.0
  • ${CUDA} should be replaced by either cpu, cu102, cu113, cu116, cu117, cu118, or cu121

The following combinations are supported:

PyTorch 2.2 cpu cu102 cu113 cu116 cu117 cu118 cu121
Linux ✅ ✅ ✅
Windows
macOS ✅
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 3.12:

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

pyg-lib's People

Contributors

rusty1s avatar pre-commit-ci[bot] avatar puririshi98 avatar kgajdamo avatar damianszwichtenberg avatar zenotan avatar olhababicheva avatar mszarma avatar sauravmaheshkar avatar mananshah99 avatar zechengz avatar akihironitta avatar yaoyaowd avatar jokeren avatar yaox12 avatar yanbing-j avatar babymastodon avatar pmpalang avatar vid-koci avatar

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