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### Description This pull request introduces several enhancements and new functionalities to the `tools/python/util/android/android.py` file, focusing on improving the management of Android emulators. The most important changes include adding a timeout parameter to the `start_emulator` function, adding checks to prevent multiple emulators from running simultaneously, and introducing new utility functions to manage emulator processes more effectively. Enhancements to `start_emulator` function: * Added a `timeout_minutes` parameter to the `start_emulator` function to make the startup timeout configurable. [[1]](diffhunk://#diff-c54db556a9c445989f830c09ab90ce2704e648deaccce9c9e0ee4875ddaa864dL108-R117) [[2]](diffhunk://#diff-c54db556a9c445989f830c09ab90ce2704e648deaccce9c9e0ee4875ddaa864dL158-R170) * Added a check to prevent starting a new emulator if one with the same AVD name is already running. * Included additional emulator arguments `-verbose` for better control and debugging. * Added a final verification step to ensure the emulator has started successfully. New utility functions for managing emulator processes: * Introduced `check_emulator_running_using_avd_name `, `check_emulator_running_using_process`, and `check_emulator_running_using_pid` to check if an emulator is running based on AVD name, process instance, or PID, respectively. * Added `stop_emulator_by_proc` and `stop_emulator_by_pid` functions to stop the emulator process using a `subprocess.Popen` instance or PID, with a configurable timeout. * Updated the `stop_emulator` function to use the new utility functions for stopping the emulator process. These changes enhance the robustness and flexibility of the emulator management utilities, making it easier to handle different scenarios in CI environments and development workflows. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Scott McKay <skottmckay@gmail.com> |
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ONNX Runtime is a cross-platform inference and training machine-learning accelerator.
ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. Learn more →
ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Learn more →
Get Started & Resources
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General Information: onnxruntime.ai
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Usage documentation and tutorials: onnxruntime.ai/docs
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YouTube video tutorials: youtube.com/@ONNXRuntime
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Companion sample repositories:
- ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
- ONNX Runtime Training: microsoft/onnxruntime-training-examples
Builtin Pipeline Status
| System | Inference | Training |
|---|---|---|
| Windows | ||
| Linux | ||
| Mac | ||
| Android | ||
| iOS | ||
| Web | ||
| Other |
This project is tested with BrowserStack.
Third-party Pipeline Status
| System | Inference | Training |
|---|---|---|
| Linux |  |
Releases
The current release and past releases can be found here: https://github.com/microsoft/onnxruntime/releases.
For details on the upcoming release, including release dates, announcements, features, and guidance on submitting feature requests, please visit the release roadmap: https://onnxruntime.ai/roadmap.
Data/Telemetry
Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the privacy statement for more details.
Contributions and Feedback
We welcome contributions! Please see the contribution guidelines.
For feature requests or bug reports, please file a GitHub Issue.
For general discussion or questions, please use GitHub Discussions.
Code of Conduct
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
License
This project is licensed under the MIT License.