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README.md

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# PyTorch Out-of-tree Accelerator TestInfra
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Welcome to the `oota` repository! This repository is
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designed to facilitate the integration testing of different accelerators with
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PyTorch. Our primary focus is to ensure seamless integration and compatibility
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across various devices by running comprehensive GitHub workflows.
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Welcome! This repository is designed to facilitate the integration testing of
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different accelerators with PyTorch. Our primary focus is to ensure seamless
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integration and compatibility across various devices by running comprehensive
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GitHub workflows.
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## Accelerator Integration Test Results
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### Key Features
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- **Automated Integration Tests**: Run tests automatically for different devices using GitHub Actions.
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- **Cross-Device Compatibility**: Ensure that PyTorch functions correctly on NPUs, GPUs, and other devices.
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- **Reusable Workflows**: Leverage modular and reusable workflows to streamline the testing process.
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## Usage
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For customize your own workflows, here are some reference configuration in [workflow](https://github.com/pytorch-fdn/oota/tree/main/.github/workflows).
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## Roadmap
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TBD
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## Contributing
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We welcome contributions to enhance the integration testing process. Feel free
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to submit issues, pull requests, or suggestions to help us improve the
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compatibility and performance of PyTorch on various devices.
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compatibility and performance of PyTorch on various devices. See the
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[CONTRIBUTING](CONTRIBUTING.md) for more details.
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### Reporting Issues
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## License
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This project is licensed under BSD-3-Clause license. See the [LICENSE](LICENSE)
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This project is licensed under Apache-2.0 license. See the [LICENSE](LICENSE)
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file for more details.

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