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https://github.com/pyg-team/pyg-lib/actions/workflows/python_testing.yml/badge.svg\n[python-testing-url]: https://github.com/pyg-team/pyg-lib/actions/workflows/python_testing.yml\n[cpp-testing-image]: https://github.com/pyg-team/pyg-lib/actions/workflows/cpp_testing.yml/badge.svg\n[cpp-testing-url]: https://github.com/pyg-team/pyg-lib/actions/workflows/cpp_testing.yml\n[docs-image]: https://readthedocs.org/projects/pyg-lib/badge/?version=latest\n[docs-url]: https://pyg-lib.readthedocs.io/en/latest/?badge=latest\n[coverage-image]: https://codecov.io/gh/pyg-team/pyg-lib/branch/master/graph/badge.svg\n[coverage-url]: https://codecov.io/github/pyg-team/pyg-lib?branch=master\n\n# pyg-lib\n\n[![Python Testing Status][python-testing-image]][python-testing-url]\n[![CPP Testing Status][cpp-testing-image]][cpp-testing-url]\n[![Docs Status][docs-image]][docs-url]\n[![Code Coverage][coverage-image]][coverage-url]\n\n* [Installation](#installation)\n\n## Installation\n\nWe provide pre-built Python wheels for all major OS/PyTorch/CUDA combinations from Python 3.9 till 3.12, see [here](https://data.pyg.org/whl).\nNote that currently, Windows wheels are not supported (we are working on fixing this as soon as possible).\n\nTo install the wheels, simply run\n\n```\npip install pyg-lib -f https://data.pyg.org/whl/torch-${TORCH}+${CUDA}.html\n```\n\nwhere\n\n* `${TORCH}` should be replaced by either `1.13.0`, `2.0.0`, `2.1.0`, `2.2.0`, `2.3.0`, `2.4.0`, `2.5.0`, or `2.6.0`\n* `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu117`, `cu118`, `cu121`, `cu124`, or `cu126`\n\nThe following combinations are supported:\n\n| PyTorch 2.6  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    |         | ✅      |         | ✅      | ✅      |\n| **Windows**  | ✅    |         | ✅      |         | ✅      | ✅      |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 2.5  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    |         | ✅      | ✅      | ✅      |         |\n| **Windows**  | ✅    |         | ✅      | ✅      | ✅      |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 2.4  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    |         | ✅      | ✅      | ✅      |         |\n| **Windows**  | ✅    |         | ✅      | ✅      | ✅      |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 2.3  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    |         | ✅      | ✅      |         |         |\n| **Windows**  | ✅    |         | ✅      | ✅      |         |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 2.2  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    |         | ✅      | ✅      |         |         |\n| **Windows**  | ✅    |         | ✅      | ✅      |         |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 2.1  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    |         | ✅      | ✅      |         |         |\n| **Windows**  | ✅    |         | ✅      | ✅      |         |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 2.0  | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    | ✅      | ✅      | ✅      |         |         |\n| **Windows**  | ✅    | ✅      | ✅      |         |         |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n| PyTorch 1.13 | `cpu` | `cu117` | `cu118` | `cu121` | `cu124` | `cu126` |\n|--------------|-------|---------|---------|---------|---------|---------|\n| **Linux**    | ✅    | ✅      |         |         |         |         |\n| **Windows**  | ✅    | ✅      |         |         |         |         |\n| **macOS**    | ✅    |         |         |         |         |         |\n\n### Form nightly\n\nNightly wheels are provided for Linux from Python 3.9 till 3.12:\n\n```\npip install pyg-lib -f https://data.pyg.org/whl/nightly/torch-${TORCH}+${CUDA}.html\n```\n\n### From master\n\n```\npip install ninja wheel\npip install git+https://github.com/pyg-team/pyg-lib.git\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpyg-team%2Fpyg-lib","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpyg-team%2Fpyg-lib","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpyg-team%2Fpyg-lib/lists"}