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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
e6d3518db9
Bumps [gradle/gradle-build-action](https://github.com/gradle/gradle-build-action) from 2 to 3. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/gradle/gradle-build-action/releases">gradle/gradle-build-action's releases</a>.</em></p> <blockquote> <h2>v3.0.0-rc.1</h2> <p>First release candidate of <code>gradle/gradle-build-action@v3.0.0</code>. This release candidate will the first release available under the <code>v3</code> version tag.</p> <blockquote> <p>[!IMPORTANT] As of <code>v3</code> this action has been superceded by <code>gradle/actions/setup-gradle</code>. Any workflow that uses <code>gradle/gradle-build-action@v3</code> will transparently delegate to <code>gradle/actions/setup-gradle@v3</code>.</p> <p>Users are encouraged to update their workflows, replacing:</p> <pre><code>uses: gradle/gradle-build-action@v3 </code></pre> <p>with</p> <pre><code>uses: gradle/actions/setup-gradle@v3 </code></pre> <p>See the <a href="https://github.com/gradle/actions/tree/main/setup-gradle">setup-gradle documentation</a> for up-to-date documentation for <code>gradle/actons/setup-gradle</code>.</p> </blockquote> <h2>Changes from <code>gradle-build-action@v2</code></h2> <p>This release brings some useful and much requested features, including:</p> <ul> <li>save and restore the Gradle configuration-cache data</li> <li>add the Job summary content as a PR comment</li> <li>easily publish Build Scans® to the free <a href="https://scans.gradle.com">Gradle Build Scan service</a></li> <li>compatibility with Node 20</li> </ul> <p>The only major breaking change from <code>gradle-build-action@v2.12.0</code> is the update to require a Node 20 runtime environment. Aside from that change, this release should generally serve as a drop-in replacement for <code>gradle-build-action@v2</code>.</p> <h3>Changelog</h3> <ul> <li>[NEW] - Run with NodeJs 20.x (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/946">gradle/gradle-build-action#946</a>)</li> <li>[NEW] - Support for save & restore of configuration-cache data (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/966">gradle/gradle-build-action#966</a>)</li> <li>[NEW] - Support for automatic adding PR comment with Job Summary content (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/1020">gradle/gradle-build-action#1020</a>)</li> <li>[NEW] - Make it easy to publish a Build Scan® to <a href="https://scans.gradle.com">https://scans.gradle.com</a> (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/1044">gradle/gradle-build-action#1044</a>)</li> <li>[NEW] - Added <code>dependency-graph-continue-on-failure</code> input, which can be set to <code>false</code> to force the Job to fail when dependency graph submission fails (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/1036">gradle/gradle-build-action#1036</a>). Failure modes include: <ul> <li>Fail build step if version of Gradle being executed is not supported for dependency-graph generation (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/1034">gradle/gradle-build-action#1034</a>)</li> <li>Fail job if permissions are insufficient to submit dependency graph via Dependency Submission API (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/997">gradle/gradle-build-action#997</a>)</li> </ul> </li> <li>[NEW] - Add <code>dependency-graph: clear</code> option to clear any dependency-graph previously submitted by the job</li> <li>[FIX] Allow cache entries to be reused by jobs with the same ID in different workflows (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/1017">gradle/gradle-build-action#1017</a>) <ul> <li>Workflow name remains part of the cache key, but cache entries generated by the same job id in a different workflow may be restored</li> </ul> </li> <li>[FIX] Register pre-installed JDKs in Maven toolchains.xml file (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/1024">gradle/gradle-build-action#1024</a>) <ul> <li>This allows pre-installed JDKs to be auto-detected by Gradle Toolchain support on Windows</li> </ul> </li> <li>[FIX] - Update the Gradle Enterprise injection configuration for product rename to Develocity (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/995">gradle/gradle-build-action#995</a>)</li> <li>[FIX] - Avoid submitting an empty dependency graph when state is loaded from configuration-cache</li> <li>[DEPRECATION] - Deprecation of the arguments parameter (<a href="https://redirect.github.com/gradle/gradle-build-action/issues/996">gradle/gradle-build-action#996</a>)</li> <li>[BREAKING CHANGE] - Remove the <code>gradle-executable</code> input parameter. Use a separate workflow Step to execute a Gradle from a custom location.</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href=" |
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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.