e7a0495a87
### Description 1. Delete Prefast tasks (#17522) 2. Disable yum update (#17551) 3. Avoid calling patchelf (#17365 and #17562) we that we can validate the above fix The main problem I'm trying to solve is: our GPU package depends on both CUDA 11.x and CUDA 12.x . However, it's not easy to see the information because ldd doesn't work with the shared libraries we generate(see issue #9754) . So the patchelf change are useful for me to validate the "Disabling yum update" was successful. As you can see we call "yum update" from multiple places. Without some kind of validation it's hard to say if I have covered all of them. The Prefast change is needed because I'm going to update the VM images in the next a few weeks. In case of we need to publish a patch release after that. ### Motivation and Context Without this fix we will mix using CUDA 11.x and CUDA 12.x. And it will crash every time when we use TensorRT. |
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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 documention 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 |
|---|---|---|
| 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.