{"id":13437314,"url":"https://github.com/openxla/xla","last_synced_at":"2025-05-13T19:03:09.246Z","repository":{"id":55400298,"uuid":"523007292","full_name":"openxla/xla","owner":"openxla","description":"A machine learning compiler for GPUs, CPUs, and ML accelerators","archived":false,"fork":false,"pushed_at":"2025-05-12T04:53:42.000Z","size":249479,"stargazers_count":3150,"open_issues_count":3922,"forks_count":548,"subscribers_count":45,"default_branch":"main","last_synced_at":"2025-05-12T05:23:34.973Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/openxla.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2022-08-09T15:30:01.000Z","updated_at":"2025-05-12T02:21:53.000Z","dependencies_parsed_at":"2022-08-14T23:30:31.703Z","dependency_job_id":"d7ffe649-4849-4e18-812e-c86920f637cd","html_url":"https://github.com/openxla/xla","commit_stats":{"total_commits":29005,"total_committers":734,"mean_commits":39.51634877384196,"dds":0.7755904154456128,"last_synced_commit":"ae8709e4c0cda1ff07d36e735cf7e53460aef89e"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openxla%2Fxla","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openxla%2Fxla/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openxla%2Fxla/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/openxla%2Fxla/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/openxla","download_url":"https://codeload.github.com/openxla/xla/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254010793,"owners_count":21998993,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T03:00:55.915Z","updated_at":"2025-05-13T19:03:09.220Z","avatar_url":"https://github.com/openxla.png","language":"C++","funding_links":[],"categories":["C++","Tools","其他_机器学习与深度学习","Open Source Git Repositories","📚 Learning \u0026 Resources"],"sub_categories":["Graph Compiler","AI Compilation Frameworks"],"readme":"# XLA\n\nXLA (Accelerated Linear Algebra) is an open-source machine learning (ML)\ncompiler for GPUs, CPUs, and ML accelerators.\n\n\u003cpicture\u003e\n  \u003csource media=\"(prefers-color-scheme: dark)\" srcset=\"docs/images/openxla_dark.svg\"\u003e\n  \u003cimg alt=\"OpenXLA Ecosystem\" src=\"docs/images/openxla.svg\"\u003e\n\u003c/picture\u003e\n\nThe XLA compiler takes models from popular ML frameworks such as PyTorch,\nTensorFlow, and JAX, and optimizes them for high-performance execution across\ndifferent hardware platforms including GPUs, CPUs, and ML accelerators.\n\n[openxla.org](https://openxla.org/) is the project's website.\n\n## Get started\n\nIf you want to use XLA to compile your ML project, refer to the corresponding\ndocumentation for your ML framework:\n\n* [PyTorch](https://pytorch.org/xla)\n* [TensorFlow](https://www.tensorflow.org/xla)\n* [JAX](https://jax.readthedocs.io/en/latest/notebooks/quickstart.html)\n\nIf you're not contributing code to the XLA compiler, you don't need to clone and\nbuild this repo. Everything here is intended for XLA contributors who want to\ndevelop the compiler and XLA integrators who want to debug or add support for ML\nfrontends and hardware backends.\n\n## Contribute\n\nIf you'd like to contribute to XLA, review\n[How to Contribute](docs/contributing.md) and then see the\n[developer guide](docs/developer_guide.md).\n\n## Contacts\n\n*   For questions, contact the maintainers - maintainers at openxla.org\n\n## Resources\n\n*   [Community Resources](https://github.com/openxla/community)\n\n## Code of Conduct\n\nWhile under TensorFlow governance, all community spaces for SIG OpenXLA are\nsubject to the\n[TensorFlow Code of Conduct](https://github.com/tensorflow/tensorflow/blob/master/CODE_OF_CONDUCT.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenxla%2Fxla","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopenxla%2Fxla","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenxla%2Fxla/lists"}