# onnxruntime
**Repository Path**: yocto_1/onnxruntime
## Basic Information
- **Project Name**: onnxruntime
- **Description**: onnxruntime
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-08-25
- **Last Updated**: 2022-08-28
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README

**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 →](https://www.onnxruntime.ai/docs/#onnx-runtime-for-inferencing)
**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 →](https://www.onnxruntime.ai/docs/#onnx-runtime-for-training)
## Get Started
**General Information**: [onnxruntime.ai](https://onnxruntime.ai)
**Usage documention and tutorials**: [onnxruntime.ai/docs](https://onnxruntime.ai/docs)
**Companion sample repositories**:
- ONNX Runtime Inferencing: [microsoft/onnxruntime-inference-examples](https://github.com/microsoft/onnxruntime-inference-examples)
- ONNX Runtime Training: [microsoft/onnxruntime-training-examples](https://github.com/microsoft/onnxruntime-training-examples)
## Build Pipeline Status
|System|CPU|GPU|EPs|
|---|---|---|---|
|Windows|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=9)|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=10)|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=47)|
|Linux|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=11)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=64)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=110)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=78)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=86)|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=12)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=45)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=140)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=84)|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=110)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=55)|
|Mac|[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=13)
[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=65)|||
|Android|||[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=53)|
|iOS|||[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=134)|
|WebAssembly|||[](https://dev.azure.com/onnxruntime/onnxruntime/_build/latest?definitionId=161)|
## 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](docs/Privacy.md) for more details.
## Contributions and Feedback
We welcome contributions! Please see the [contribution guidelines](CONTRIBUTING.md).
For feature requests or bug reports, please file a [GitHub Issue](https://github.com/Microsoft/onnxruntime/issues).
For general discussion or questions, please use [GitHub Discussions](https://github.com/microsoft/onnxruntime/discussions).
## Code of Conduct
This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
## License
This project is licensed under the [MIT License](LICENSE).