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This PR has the change of supporting INT64 tensor type for TRT 10. This PR is also **compatible with TRT 8.6 and TRT 10** meaning user can build ORT TRT against TRT 8.6 or TRT 10. Due to the timeline for TRT 10 GA and ORT 1.18 release is very tight (We don't have enough time to get our CIs installed with TRT 10 GA libraries and run the build/tests), as well as Nvidia new Triton release (The timeline is also very close to the timeline of TRT 10 GA) wants to integrate TRT EP with TRT 10. Therefore, our approach is to make this PR into ORT 1.18 first, so everything is fully tested with TRT 8.6 CIs, and user can still manually build ORT 1.18 against TRT 10 like the Triton case. As for testing TRT 10, once TRT 10 GA is released, we will have another branch which includes change at this PR as well as whatever changes needed and update our CIs with TRT 10. |
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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 |
Third-party Pipeline Status
| System | Inference | Training |
|---|---|---|
| Linux |  |
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.