dependabot[bot] opened a new pull request, #1030:
URL: https://github.com/apache/opennlp/pull/1030

   Bumps `onnxruntime.version` from 1.25.0 to 1.25.1.
   Updates `com.microsoft.onnxruntime:onnxruntime` from 1.25.0 to 1.25.1
   <details>
   <summary>Release notes</summary>
   <p><em>Sourced from <a 
href="https://github.com/microsoft/onnxruntime/releases";>com.microsoft.onnxruntime:onnxruntime's
 releases</a>.</em></p>
   <blockquote>
   <h2>ONNX Runtime v1.25.1</h2>
   <p>n.b. This changelog is LLM generated. Only the contributor listing has 
been verified.</p>
   <h1>ONNX Runtime Release 1.25.1</h1>
   <h2>📢 Announcements &amp; Breaking Changes</h2>
   <h3>ONNX Op Updates</h3>
   <ul>
   <li><strong>Enhanced ONNX operator support</strong> with new opset versions: 
Reshape (opset 25), Transpose (opset 24) (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27752";>#27752</a>)</li>
   </ul>
   <hr />
   <h2>✨ New Features</h2>
   <h3>📊 New ONNX Ops &amp; Model Support</h3>
   <ul>
   <li><strong>LinearAttention and CausalConvState operators</strong> for 
Qwen3.5 model support (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27907";>#27907</a>)</li>
   <li><strong>RotaryEmbedding (RotEMB) and RMSNorm operators</strong> added 
(<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27752";>#27752</a>)</li>
   <li><strong>Linear Attention signature</strong> support (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27842";>#27842</a>)</li>
   </ul>
   <hr />
   <h2>🌐 Web &amp; JavaScript</h2>
   <h3>WebGPU EP</h3>
   <ul>
   <li><strong>Qwen3.5 model support</strong> on WebGPU execution provider (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27996";>#27996</a>)</li>
   <li><strong>QMoE 1-token decode path optimization</strong> — fused 
operations to reduce GPU dispatches for improved performance (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27998";>#27998</a>)</li>
   </ul>
   <hr />
   <h2>🐛 Bug Fixes</h2>
   <h3>Core Runtime Fixes</h3>
   <ul>
   <li><strong>Improved filesystem error messages</strong> during Linux device 
discovery for better debugging experience (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27289";>#27289</a>)</li>
   <li>Fixed missing include for <code>SetRawDataInTensorProto</code> in NVIDIA 
TensorRT RTX tests (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/28065";>#28065</a>)</li>
   </ul>
   <hr />
   <h2>🙏 Contributors</h2>
   <p>Thanks to our <strong>7 contributors</strong> for this release:
   <a href="https://github.com/guschmue";><code>@​guschmue</code></a>, <a 
href="https://github.com/sanaa-hamel-microsoft";><code>@​sanaa-hamel-microsoft</code></a>,
 <a href="https://github.com/apsonawane";><code>@​apsonawane</code></a>, <a 
href="https://github.com/eserscor";><code>@​eserscor</code></a>, <a 
href="https://github.com/ishwar-raut1";><code>@​ishwar-raut1</code></a>, <a 
href="https://github.com/qjia7";><code>@​qjia7</code></a>, <a 
href="https://github.com/theHamsta";><code>@​theHamsta</code></a></p>
   <p><strong>Full Changelog</strong>: <a 
href="https://github.com/microsoft/onnxruntime/compare/v1.25.0...v1.25.1";>https://github.com/microsoft/onnxruntime/compare/v1.25.0...v1.25.1</a></p>
   </blockquote>
   </details>
   <details>
   <summary>Commits</summary>
   <ul>
   <li><a 
href="https://github.com/microsoft/onnxruntime/commit/8a77e459420f58fb946fd9067285cfa719f10bdd";><code>8a77e45</code></a>
 rel-1.25.1 cherry-pick round 2 (<a 
href="https://redirect.github.com/microsoft/onnxruntime/issues/28224";>#28224</a>)</li>
   <li><a 
href="https://github.com/microsoft/onnxruntime/commit/6fd52e48cbf4f586dde061b1fd4d03ae919970d8";><code>6fd52e4</code></a>
 ORT 1.25.1 release: version bump and cherry-pick <a 
href="https://redirect.github.com/microsoft/onnxruntime/issues/27907";>#27907</a>
 (<a 
href="https://redirect.github.com/microsoft/onnxruntime/issues/28149";>#28149</a>)</li>
   <li>See full diff in <a 
href="https://github.com/microsoft/onnxruntime/compare/v1.25.0...v1.25.1";>compare
 view</a></li>
   </ul>
   </details>
   <br />
   
   Updates `com.microsoft.onnxruntime:onnxruntime_gpu` from 1.25.0 to 1.25.1
   <details>
   <summary>Release notes</summary>
   <p><em>Sourced from <a 
href="https://github.com/microsoft/onnxruntime/releases";>com.microsoft.onnxruntime:onnxruntime_gpu's
 releases</a>.</em></p>
   <blockquote>
   <h2>ONNX Runtime v1.25.1</h2>
   <p>n.b. This changelog is LLM generated. Only the contributor listing has 
been verified.</p>
   <h1>ONNX Runtime Release 1.25.1</h1>
   <h2>📢 Announcements &amp; Breaking Changes</h2>
   <h3>ONNX Op Updates</h3>
   <ul>
   <li><strong>Enhanced ONNX operator support</strong> with new opset versions: 
Reshape (opset 25), Transpose (opset 24) (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27752";>#27752</a>)</li>
   </ul>
   <hr />
   <h2>✨ New Features</h2>
   <h3>📊 New ONNX Ops &amp; Model Support</h3>
   <ul>
   <li><strong>LinearAttention and CausalConvState operators</strong> for 
Qwen3.5 model support (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27907";>#27907</a>)</li>
   <li><strong>RotaryEmbedding (RotEMB) and RMSNorm operators</strong> added 
(<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27752";>#27752</a>)</li>
   <li><strong>Linear Attention signature</strong> support (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27842";>#27842</a>)</li>
   </ul>
   <hr />
   <h2>🌐 Web &amp; JavaScript</h2>
   <h3>WebGPU EP</h3>
   <ul>
   <li><strong>Qwen3.5 model support</strong> on WebGPU execution provider (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27996";>#27996</a>)</li>
   <li><strong>QMoE 1-token decode path optimization</strong> — fused 
operations to reduce GPU dispatches for improved performance (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27998";>#27998</a>)</li>
   </ul>
   <hr />
   <h2>🐛 Bug Fixes</h2>
   <h3>Core Runtime Fixes</h3>
   <ul>
   <li><strong>Improved filesystem error messages</strong> during Linux device 
discovery for better debugging experience (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/27289";>#27289</a>)</li>
   <li>Fixed missing include for <code>SetRawDataInTensorProto</code> in NVIDIA 
TensorRT RTX tests (<a 
href="https://redirect.github.com/microsoft/onnxruntime/pull/28065";>#28065</a>)</li>
   </ul>
   <hr />
   <h2>🙏 Contributors</h2>
   <p>Thanks to our <strong>7 contributors</strong> for this release:
   <a href="https://github.com/guschmue";><code>@​guschmue</code></a>, <a 
href="https://github.com/sanaa-hamel-microsoft";><code>@​sanaa-hamel-microsoft</code></a>,
 <a href="https://github.com/apsonawane";><code>@​apsonawane</code></a>, <a 
href="https://github.com/eserscor";><code>@​eserscor</code></a>, <a 
href="https://github.com/ishwar-raut1";><code>@​ishwar-raut1</code></a>, <a 
href="https://github.com/qjia7";><code>@​qjia7</code></a>, <a 
href="https://github.com/theHamsta";><code>@​theHamsta</code></a></p>
   <p><strong>Full Changelog</strong>: <a 
href="https://github.com/microsoft/onnxruntime/compare/v1.25.0...v1.25.1";>https://github.com/microsoft/onnxruntime/compare/v1.25.0...v1.25.1</a></p>
   </blockquote>
   </details>
   <details>
   <summary>Commits</summary>
   <ul>
   <li><a 
href="https://github.com/microsoft/onnxruntime/commit/8a77e459420f58fb946fd9067285cfa719f10bdd";><code>8a77e45</code></a>
 rel-1.25.1 cherry-pick round 2 (<a 
href="https://redirect.github.com/microsoft/onnxruntime/issues/28224";>#28224</a>)</li>
   <li><a 
href="https://github.com/microsoft/onnxruntime/commit/6fd52e48cbf4f586dde061b1fd4d03ae919970d8";><code>6fd52e4</code></a>
 ORT 1.25.1 release: version bump and cherry-pick <a 
href="https://redirect.github.com/microsoft/onnxruntime/issues/27907";>#27907</a>
 (<a 
href="https://redirect.github.com/microsoft/onnxruntime/issues/28149";>#28149</a>)</li>
   <li>See full diff in <a 
href="https://github.com/microsoft/onnxruntime/compare/v1.25.0...v1.25.1";>compare
 view</a></li>
   </ul>
   </details>
   <br />
   
   
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