148f54c6ea
### Description Add capturestate / rundown ETW support logging for session and provider options. ### Motivation and Context Follow-up to #16259 and #18882 This is very useful when you have longer running ONNX sessions which will be the case for a lot of AI workloads. That means ETW tracing may start minutes or hours after a process & session has been established. When a trace is captured, you would want to know the state of ONNX at that time. The state for ONNX is session and config options so that they show up in the trace. Tested with xperf and ORT xperf -start ort -on 3a26b1ff-7484-7484-7484-15261f42614d xperf -capturestate ort 3a26b1ff-7484-7484-7484-15261f42614d <--- Run this after session has been up for some time xperf -stop ort -d .\ort.etl <- Trace will now also have rundown events Also these will show if you use WPR [CaptureStateOnSave ](https://learn.microsoft.com/en-us/windows-hardware/test/wpt/capturestateonsave) |
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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 |
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| Windows | ||
| Linux | ||
| Mac | ||
| Android | ||
| iOS | ||
| Web | ||
| Other |
Third-party Pipeline Status
| System | Inference | Training |
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| 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.