ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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dependabot[bot] 379c7c43eb
Bump actions/setup-java from 3 to 4 (#18686)
Bumps [actions/setup-java](https://github.com/actions/setup-java) from 3
to 4.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/actions/setup-java/releases">actions/setup-java's
releases</a>.</em></p>
<blockquote>
<h2>v4.0.0</h2>
<h2>What's Changed</h2>
<p>In the scope of this release, the version of the Node.js runtime was
updated to 20. The majority of dependencies were updated to the latest
versions. From now on, the code for the setup-java will run on Node.js
20 instead of Node.js 16.</p>
<h2>Breaking changes</h2>
<ul>
<li>Update Node.js runtime to version 20 by <a
href="https://github.com/aparnajyothi-y"><code>@​aparnajyothi-y</code></a>
in <a
href="https://redirect.github.com/actions/setup-java/pull/558">actions/setup-java#558</a></li>
</ul>
<h2>Non-breaking changes</h2>
<ul>
<li>Adding support for microsoft openjdk 21.0.0 by <a
href="https://github.com/ralfstuckert"><code>@​ralfstuckert</code></a>
in <a
href="https://redirect.github.com/actions/setup-java/pull/546">actions/setup-java#546</a></li>
<li>Update <code>@​actions/cache</code> dependency and documentation by
<a href="https://github.com/IvanZosimov"><code>@​IvanZosimov</code></a>
in <a
href="https://redirect.github.com/actions/setup-java/pull/549">actions/setup-java#549</a></li>
<li>Implementation of the cache-dependency-path option to control
caching dependency by <a
href="https://github.com/itchyny"><code>@​itchyny</code></a> in <a
href="https://redirect.github.com/actions/setup-java/pull/499">actions/setup-java#499</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/ralfstuckert"><code>@​ralfstuckert</code></a>
made their first contribution in <a
href="https://redirect.github.com/actions/setup-java/pull/546">actions/setup-java#546</a></li>
<li><a href="https://github.com/itchyny"><code>@​itchyny</code></a> made
their first contribution in <a
href="https://redirect.github.com/actions/setup-java/pull/499">actions/setup-java#499</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/actions/setup-java/compare/v3...v4.0.0">https://github.com/actions/setup-java/compare/v3...v4.0.0</a></p>
<h2>v3.13.0</h2>
<h2>What's changed</h2>
<p>In the scope of this release, support for Dragonwell JDK was added by
<a
href="https://github.com/Accelerator1996"><code>@​Accelerator1996</code></a>
in <a
href="https://redirect.github.com/actions/setup-java/pull/532">actions/setup-java#532</a></p>
<pre lang="yaml"><code>steps:
 - name: Checkout
   uses: actions/checkout@v3
 - name: Setup-java
   uses: actions/setup-java@v3
   with:
     distribution: 'dragonwell'
     java-version: '17'
</code></pre>
<p>Several inaccuracies were also fixed:</p>
<ul>
<li>Fix XML namespaces wrongly using https by <a
href="https://github.com/gnodet"><code>@​gnodet</code></a> in <a
href="https://redirect.github.com/actions/setup-java/pull/503">actions/setup-java#503</a></li>
<li>Fix typo and remove unintentional(?) word by <a
href="https://github.com/CyberFlameGO"><code>@​CyberFlameGO</code></a>
in <a
href="https://redirect.github.com/actions/setup-java/pull/518">actions/setup-java#518</a></li>
<li>Fix usage link within the README.md file by <a
href="https://github.com/dassiorleando"><code>@​dassiorleando</code></a>
in <a
href="https://redirect.github.com/actions/setup-java/pull/525">actions/setup-java#525</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/CyberFlameGO"><code>@​CyberFlameGO</code></a>
made their first contribution in <a
href="https://redirect.github.com/actions/setup-java/pull/518">actions/setup-java#518</a></li>
<li><a
href="https://github.com/dassiorleando"><code>@​dassiorleando</code></a>
made their first contribution in <a
href="https://redirect.github.com/actions/setup-java/pull/525">actions/setup-java#525</a></li>
<li><a href="https://github.com/gnodet"><code>@​gnodet</code></a> made
their first contribution in <a
href="https://redirect.github.com/actions/setup-java/pull/503">actions/setup-java#503</a></li>
<li><a
href="https://github.com/Accelerator1996"><code>@​Accelerator1996</code></a>
made their first contribution in <a
href="https://redirect.github.com/actions/setup-java/pull/532">actions/setup-java#532</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/actions/setup-java/compare/v3...v3.13.0">https://github.com/actions/setup-java/compare/v3...v3.13.0</a></p>
<h2>v3.12.0</h2>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="387ac29b30"><code>387ac29</code></a>
Upgrade Node to v20 (<a
href="https://redirect.github.com/actions/setup-java/issues/558">#558</a>)</li>
<li><a
href="9eda6b51cc"><code>9eda6b5</code></a>
feat: implement cache-dependency-path option to control caching
dependency (#...</li>
<li><a
href="78078da0cd"><code>78078da</code></a>
Update <code>@​actions/cache</code> dependency and documentation (<a
href="https://redirect.github.com/actions/setup-java/issues/549">#549</a>)</li>
<li><a
href="5caaba646e"><code>5caaba6</code></a>
add support for microsoft openjdk 21.0.0 (<a
href="https://redirect.github.com/actions/setup-java/issues/546">#546</a>)</li>
<li>See full diff in <a
href="https://github.com/actions/setup-java/compare/v3...v4">compare
view</a></li>
</ul>
</details>
<br />


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2023-12-20 22:08:33 -08:00
.config Update tsaoptions.json: update the email alias (#13448) 2022-10-26 15:56:16 -07:00
.devcontainer
.gdn Update win-ci-pipeline.yml: enable xnnpack tests (#16244) 2023-06-14 19:12:42 -07:00
.github Bump actions/setup-java from 3 to 4 (#18686) 2023-12-20 22:08:33 -08:00
.pipelines Update windowsai-steps.yml: enable "/profile" linker flag (#18022) 2023-12-13 19:47:04 -08:00
.vscode Setup default python formatter for new python plugin (#18563) 2023-11-24 18:04:48 +08:00
cgmanifests Update absl and googletest (#18827) 2023-12-14 16:15:07 -08:00
cmake Integrate high-performance x64 gemm library to MLAS (#17669) 2023-12-19 09:36:31 -08:00
csharp Readd basetargets in Microsoft.ML.OnnxRuntime.csproj (#18789) 2023-12-14 14:44:11 +08:00
dockerfiles Update dockerfiles/Dockerfile.source to avoid installing onnx (#17975) 2023-10-20 09:24:21 -07:00
docs Implement dft(20) (#17821) 2023-12-19 10:42:54 -08:00
include/onnxruntime/core Move some QNN EP provider options to session options (#18877) 2023-12-20 00:13:38 -08:00
java [java] Make the backing byte buffer in an OrtValue accessible (#16578) 2023-10-17 10:03:49 -07:00
js [js/web] revise backend registration (#18715) 2023-12-20 14:45:55 -08:00
objectivec Objective-C API updates (#18738) 2023-12-07 16:47:46 -08:00
onnxruntime Remove usage of TRT deprecated APIs (#18879) 2023-12-20 15:08:13 -08:00
orttraining Improve perf for stage3 training (#18099) 2023-12-15 13:32:19 +08:00
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samples Removed all the deprecated python training code and related tests and utils (#18333) 2023-11-17 18:19:21 -08:00
tools Move some QNN EP provider options to session options (#18877) 2023-12-20 00:13:38 -08:00
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.lintrunner.toml FP16 optimizer automatically detect DeepSpeed compatibility (#18084) 2023-10-25 15:11:02 +08:00
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LICENSE
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requirements-doc.txt
requirements-lintrunner.txt Bump linter versions (#18341) 2023-11-08 13:04:40 -08:00
requirements-training.txt ONNX 1.15 integration (#17125) 2023-09-26 14:44:48 -07:00
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SECURITY.md
setup.py Improve perf for stage3 training (#18099) 2023-12-15 13:32:19 +08:00
ThirdPartyNotices.txt Flash Attention v2 MHA (#17227) 2023-08-31 13:52:21 -07:00
VERSION_NUMBER Bump Up Version to 1.17.0 (#17587) 2023-09-20 11:02:58 +08:00

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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System Inference Training
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Third-party Pipeline Status

System Inference Training
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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.