Update README.md

Author: zeshengzong

README.md

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-# pytorch-integration-tests
+# PyTorch Integration Tests
+
+Welcome to the `pytorch-integration-tests` repository! This repository is designed to facilitate the integration testing of different accelerators with PyTorch. Our primary focus is to ensure seamless integration and compatibility across various devices by running comprehensive GitHub workflows.
+
+## Accelerator Integration Test Results
+
+|[torch_npu](https://github.com/ascend/pytorch)|
+|----|
+| ![torch_npu periodic workflow](https://github.com/cosdt/pytorch-integration-tests/actions/workflows/periodic.yml/badge.svg) | 
+| ![torch_npu manual workflow](https://github.com/cosdt/pytorch-integration-tests/actions/workflows/manual.yml/badge.svg)| |
+
+
+## Overview
+
+This repository contains workflows and scripts that automate the testing process for integrating different hardware devices with PyTorch. The tests aim to validate that PyTorch's device-specific functionalities are working correctly and efficiently across different platforms.
+
+### Key Features
+- **Automated Integration Tests**: Run tests automatically for different devices using GitHub Actions.
+- **Cross-Device Compatibility**: Ensure that PyTorch functions correctly on NPUs, GPUs, and other devices.
+- **Reusable Workflows**: Leverage modular and reusable workflows to streamline the testing process.
+
+## Usage
+
+### Running Tests
+
+To run the integration tests, the repository leverages GitHub Actions. You can trigger the tests by pushing code to the repository or by manually triggering the workflows.
+
+### Customizing Workflows
+
+The workflows are designed to be flexible. You can customize the parameters such as the target branch, runner, and loop time by modifying the inputs in the workflow files.
+
+## Contributing
+
+We welcome contributions to enhance the integration testing process. Feel free to submit issues, pull requests, or suggestions to help us improve the compatibility and performance of PyTorch on various devices.
+
+### Reporting Issues
+
+If you encounter any issues while using the workflows or integrating a device, please report them via the [Issues](https://github.com/cosdt/pytorch-integration-tests/issues) tab.
+
+## License
+
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
 
-![torch_npu periodic workflow](https://github.com/cosdt/pytorch-integration-tests/actions/workflows/periodic.yml/badge.svg)
-![torch_npu manual workflow](https://github.com/cosdt/pytorch-integration-tests/actions/workflows/manual.yml/badge.svg)