55f7f9d7a9
### Description Under certain conditions with enabling & disabling ETW continuously, we got a crash report. Allows ETW callbacks to be de-registered upon class destructor. Related to #20537 ### Motivation and Context Fixes crash ### Callstack We see it crash in [0x0] onnxruntime!<lambda_967a738fca8512372f170fcaf2d094d4>::operator()+0x34 0x12941ff570 0x7ffa994f0a04 [0x1] onnxruntime!std::_Func_class<void,_GUID const *,unsigned long,unsigned char,unsigned __int64,unsigned __int64,_EVENT_FILTER_DESCRIPTOR *,void *>::operator()+0x54 0x12941ff7b0 0x7ffa994f0d64 [0x2] onnxruntime!onnxruntime::logging::EtwRegistrationManager::InvokeCallbacks+0xcc 0x12941ff7b0 0x7ffa994f0d64 [0x3] onnxruntime!onnxruntime::logging::EtwRegistrationManager::ORT_TL_EtwEnableCallback+0x94 0x12941ff860 0x7ffa98d19628 and seems to us that the this pointer captured in etwRegistrationManager.RegisterInternalCallback( [&etwRegistrationManager, this]( ... is no longer valid when the callback is called. |
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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 |
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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.