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* adding eager ci pipelines files * adding import torch before onnxruntime * finding os environ path * finding os environ path corrected * print OS environ path variables * adding environ path for torch * changing python version * changing python python for torch libs * removing import torch statements * removing unncecessary torch path * removing path variable * add dll_path * test for python 3.7 * adding dll directory path for python 3.8+ * print dll directory path for python 3.8+ * adding requirements file * change requirements directory * print more * adding dll dir path * removing setup eager file * adding details for dll directory * adding details for dll directory more * adding import torch in onnxruntime init file * removing dll dir path and moving requirements file * enabling pipeline for py3.7 * remove enter * removing debug build * removing openmp * adding comments for torch dll loading and cases of failure * cleaning up the pipeline |
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| onnxruntime | ||
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| CODEOWNERS | ||
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| LICENSE | ||
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| README.md | ||
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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
General Information: onnxruntime.ai
Usage documention and tutorials: onnxruntime.ai/docs
Companion sample repositories:
- ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
- ONNX Runtime Training: microsoft/onnxruntime-training-examples
Build Pipeline Status
| System | CPU | GPU | EPs |
|---|---|---|---|
| Windows | |||
| Linux | |||
| Mac | |||
| Android | |||
| iOS | |||
| WebAssembly |
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.