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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
efa51de7e4
Bumps
[gradle/wrapper-validation-action](https://github.com/gradle/wrapper-validation-action)
from 2 to 3.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/gradle/wrapper-validation-action/releases">gradle/wrapper-validation-action's
releases</a>.</em></p>
<blockquote>
<h2>v2.1.3</h2>
<h2>What's Changed</h2>
<ul>
<li>Update various NPM dependencies</li>
<li>Update wrapper checksums to include Gradle 8.7</li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/gradle/wrapper-validation-action/compare/v2.1.2...v2.1.3">https://github.com/gradle/wrapper-validation-action/compare/v2.1.2...v2.1.3</a></p>
<h2>v2.1.2</h2>
<h2>What's Changed</h2>
<ul>
<li>Update various NPM dependencies</li>
<li>Update wrapper checksums</li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/gradle/wrapper-validation-action/compare/v2.1.1...v2.1.2">https://github.com/gradle/wrapper-validation-action/compare/v2.1.1...v2.1.2</a></p>
<h2>v2.1.1</h2>
<h2>Changelog</h2>
<ul>
<li>[FIX] Add hardcoded checksum for Gradle 7.6.4</li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/gradle/wrapper-validation-action/compare/v2...v2.1.1">https://github.com/gradle/wrapper-validation-action/compare/v2...v2.1.1</a></p>
<h2>v2.1.0</h2>
<p>This release should vastly reduce the number of network requests made
by the <code>wrapper-validation-action</code>, by hardcoding the
checksums of all known Gradle wrapper jars at time of release. With this
improvement, a number of long-standing issues should be addressed (<a
href="https://redirect.github.com/gradle/wrapper-validation-action/issues/164">#164</a>,
<a
href="https://redirect.github.com/gradle/wrapper-validation-action/issues/162">#162</a>,
<a
href="https://redirect.github.com/gradle/wrapper-validation-action/issues/57">#57</a>).</p>
<p>The action should now only make network requests to validate the
checksums of an unknown <code>gradle-wrapper.jar</code>. This can happen
if:</p>
<ul>
<li>The Gradle version was published after this action was released</li>
<li>The <code>gradle-wrapper.jar</code> is truly invalid</li>
</ul>
<h2>Changelog</h2>
<ul>
<li>[NEW] Hardcode list of known checksums to avoid network requests in
most cases (<a
href="https://redirect.github.com/gradle/wrapper-validation-action/issues/161">#161</a>)</li>
</ul>
<p>Huge thanks to <a
href="https://github.com/Marcono1234"><code>@Marcono1234</code></a> for
contributing this long-awaited improvement.</p>
<h2>v2.0.1</h2>
<p>This patch release fixes error reporting when failing to retrieve the
checksums from services.gradle.org</p>
<ul>
<li>[FIX] After migration from v1 to v2 silently fails (<a
href="https://redirect.github.com/gradle/wrapper-validation-action/issues/174">#174</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
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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
-
General Information: onnxruntime.ai
-
Usage documentation and tutorials: onnxruntime.ai/docs
-
YouTube video tutorials: youtube.com/@ONNXRuntime
-
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.