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build(deps-dev): bump torch from 2.10.0 to 2.11.0 (#5347)
Bumps [torch](https://github.com/pytorch/pytorch) from 2.10.0 to 2.11.0. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/pytorch/pytorch/releases">torch's releases</a>.</em></p> <blockquote> <h1>PyTorch 2.11.0 Release Notes</h1> <ul> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#highlights">Highlights</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#backwards-incompatible-changes">Backwards Incompatible Changes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#deprecations">Deprecations</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#new-features">New Features</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#improvements">Improvements</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#bug-fixes">Bug fixes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#performance">Performance</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#documentation">Documentation</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#developers">Developers</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#security">Security</a></li> </ul> <h1>Highlights</h1> <!-- raw HTML omitted --> <p>For more details about these highlighted features, you can look at the <a href="https://pytorch.org/blog/pytorch-2-11-release-blog/">release blogpost</a>. Below are the full release notes for this release.</p> <h1>Backwards Incompatible Changes</h1> <h2>Release Engineering</h2> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/pytorch/pytorch/commit/70d99e998b4955e0049d13a98d77ae1b14db1f45"><code>70d99e9</code></a> [release only] Increase timeout for rocm libtorch and manywheel builds (<a href="https://redirect.github.com/pytorch/pytorch/issues/178006">#178006</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/3e05c5a9ca8aacd0d137541876f8bf4cfca7e940"><code>3e05c5a</code></a> [MPS] Properly handle conjugated tensors in bmm (<a href="https://redirect.github.com/pytorch/pytorch/issues/178010">#178010</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/db741c72097871e384b22ee6fff1d6083adf23cc"><code>db741c7</code></a> [MPS] fix compiling of SDPA producing nan results (<a href="https://redirect.github.com/pytorch/pytorch/issues/178009">#178009</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/483b55d84c74b92b3c2c67be4b9b7c7359ec2bbc"><code>483b55d</code></a> Update pytorch_sphinx_theme2 version to 0.4.6 (<a href="https://redirect.github.com/pytorch/pytorch/issues/177616">#177616</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/7f2cdeb75b76bf07bb73776444bbb94456adbfa0"><code>7f2cdeb</code></a> [windows][smoke test] Add an option to install cuda if required cuda/cudnn on...</li> <li><a href="https://github.com/pytorch/pytorch/commit/76fd07897dd9126df160e9723d97511b79888087"><code>76fd078</code></a> [release-only] Fix libtorch builds. Fix lint (<a href="https://redirect.github.com/pytorch/pytorch/issues/177299">#177299</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/fa384de31efe6548e694758d47ff295f2c2edb57"><code>fa384de</code></a> [Inductor][MPS] Fix half-precision type mismatches in Metal shader codegen (#...</li> <li><a href="https://github.com/pytorch/pytorch/commit/036b25f5a29dc58cbc62e7b976efb860ff128c3f"><code>036b25f</code></a> Let stable::from_blob accept a lambda as deleter (cherry-pick) (<a href="https://redirect.github.com/pytorch/pytorch/issues/176440">#176440</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/41f8e3e0381395e1669ca4bc6e36a7872d25cdcd"><code>41f8e3e</code></a> [CI] Stop using G3 runners (<a href="https://redirect.github.com/pytorch/pytorch/issues/177161">#177161</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/e2fa2953033020ad7e0f823ec534044fac15a3c7"><code>e2fa295</code></a> [CD] Unpin cuda-bindings dependencies (<a href="https://redirect.github.com/pytorch/pytorch/issues/177159">#177159</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v2.10.0...v2.11.0">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=torch&package-manager=pip&previous-version=2.10.0&new-version=2.11.0)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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pyproject.toml

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@@ -166,7 +166,7 @@ pin_tensorflow_gpu = [
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pin_pytorch_cpu = [
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# https://github.com/pytorch/pytorch/issues/114602
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# macos x86 has been deprecated
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"torch==2.10.0; platform_machine!='x86_64' or platform_system != 'Darwin'",
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"torch==2.11.0; platform_machine!='x86_64' or platform_system != 'Darwin'",
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"torch; platform_machine=='x86_64' and platform_system == 'Darwin'",
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]
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pin_pytorch_gpu = [

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