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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
c8a94f1ef7
Bumps [actions/setup-dotnet](https://github.com/actions/setup-dotnet) from 2 to 3. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/actions/setup-dotnet/releases">actions/setup-dotnet's releases</a>.</em></p> <blockquote> <h2>v3.0.0</h2> <p>This major release includes the following <strong>changes:</strong></p> <ul> <li><a href="https://redirect.github.com/actions/setup-dotnet/issues/219">#219</a> New input <code>dotnet-quality</code> was added in <a href="https://redirect.github.com/actions/setup-dotnet/pull/315">#315</a>:</li> </ul> <pre lang="yaml"><code> - uses: actions/setup-dotnet@v3 with: dotnet-version: '6.0.x' dotnet-quality: 'preview' - run: dotnet build <my project> </code></pre> <p>More in detail <a href="https://github.com/actions/setup-dotnet#using-the-dotnet-quality-input">here</a>.</p> <ul> <li><a href="https://redirect.github.com/actions/setup-dotnet/issues/241">#241</a> The output variable <code>dotnet-version</code> which contains the installed by the action SDK version was added in <a href="https://redirect.github.com/actions/setup-dotnet/pull/324">#324</a>:</li> </ul> <pre lang="yaml"><code> - uses: actions/setup-dotnet@v3 id: cp310 with: dotnet-version: '3.1.422' - run: echo '${{ steps.cp310.outputs.dotnet-version }}' # outputs 3.1.422 </code></pre> <p>More in detail <a href="https://github.com/actions/setup-dotnet/tree/main#dotnet-version">here</a>.</p> <ul> <li>The <code>dotnet-version</code> syntax was updated and now it allows to specify the prerelease version without using <code>include-prerelease</code> input. The <code>include-prerelease</code> input was cut out:</li> </ul> <pre lang="yaml"><code> - uses: actions/setup-dotnet@v3 with: dotnet-version: '5.0.0-preview.6' </code></pre> <p>More in detail <a href="https://github.com/actions/setup-dotnet#supported-version-syntax">here</a>.</p> <ul> <li><a href="https://redirect.github.com/actions/setup-dotnet/issues/251">#251</a> The problem with out of support .NET version warnings was solved in <a href="https://redirect.github.com/actions/setup-dotnet/pull/315">#315</a>.</li> </ul> <p><strong>Breaking changes</strong>:</p> <ul> <li>Installation paths for Windows and Ubuntu images were changed to match the location of pre-installed SDKs. In more detail, read <a href="https://github.com/actions/setup-dotnet/blob/main/docs/adrs/v3-setup-dotnet.md#breaking-changes">here</a>.</li> </ul> <h2>Add support for Windows-arm</h2> <p>In scope of this release we <a href="https://redirect.github.com/actions/setup-dotnet/pull/320">add support for Windows-arm</a>. Besides, we change getInput to <a href="https://redirect.github.com/actions/setup-dotnet/pull/250">getBooleanInput</a> for include-prerelease.</p> <h2>Package updates, support for global json file in a subdirectory, installer scripts updates</h2> <p>This release includes the following PRs:</p> <ul> <li>Adding support for the <code>global-json-file</code> input: <a href="https://redirect.github.com/actions/setup-dotnet/issues/276">#276</a> Example of usage: <pre lang="yaml"><code>- uses: actions/setup-dotnet@v2 with: global-json-file: csharp/global.json - run: dotnet build <my project> working-directory: csharp </code></pre> </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 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 |
|---|---|---|
| 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.