dependabot[bot] opened a new pull request, #39376: URL: https://github.com/apache/beam/pull/39376
Bumps [torch](https://github.com/pytorch/pytorch) from 2.7.1 to 2.13.0. <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 2.13.0 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> </ul> <h1>Highlights</h1> <!-- raw HTML omitted --> <p>For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.</p> <h1>Tracked Regressions</h1> <h3>ROCm wheels break <code>torch.compile</code> on CPU in environments without a GPU</h3> <p>Running a <code>torch==2.13.0+rocm7.2</code> wheel in an environment where no GPU is available (<code>torch.cuda.is_available()</code> is <code>False</code>) breaks <code>torch.compile</code> on the CPU path: the first compile raises <code>RuntimeError: Can't detect vectorized ISA for CPU</code> (<a href="https://redirect.github.com/pytorch/pytorch/issues/189194";>#189194</a>). This is a regression from <code>torch==2.12.1+rocm7.2</code>, which compiles CPU code fine (detecting e.g. <code>VecAVX2</code>) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.</p> <p>Workaround: run the <code>+rocm</code> wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.</p> <h1>Backwards Incompatible Changes</h1> <ul> <li> <p>Stop building CPython 3.13t (free-threaded) binaries (<a href="https://redirect.github.com/pytorch/pytorch/issues/182951";>#182951</a>)</p> <p>Upstream <code>pypa/manylinux</code> removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships <code>cp313t</code> wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.</p> <p>PyTorch 2.12:</p> <pre lang="bash"><code># cp313t (free-threaded 3.13) wheels were available python3.13t -m pip install torch </code></pre> <p>PyTorch 2.13:</p> </li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/pytorch/pytorch/commit/cf30153c4c131c8164ee7798e5022d810682e2cb";><code>cf30153</code></a> [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (<a href="https://redirect.github.com/pytorch/pytorch/issues/188914";>#188914</a>) ...</li> <li><a href="https://github.com/pytorch/pytorch/commit/3e3e24bd95b010f8f74915f0c30476906e60d4fc";><code>3e3e24b</code></a> [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...</li> <li><a href="https://github.com/pytorch/pytorch/commit/7986b068032abf5e22ea51fe7fea63ef5bcaf3b1";><code>7986b06</code></a> [release/2.13] Bump binary build timeout 280 -> 400 minutes (<a href="https://redirect.github.com/pytorch/pytorch/issues/188551";>#188551</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/0bdbc268e08fba9debac8f35a8a12e9c008ec0fd";><code>0bdbc26</code></a> [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (<a href="https://redirect.github.com/pytorch/pytorch/issues/188443";>#188443</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/9cabb45ca6e6ed3bb4645c929bcfd07691651f74";><code>9cabb45</code></a> [release/2.13] Update manywheel docker image pin to 78e737ad (<a href="https://redirect.github.com/pytorch/pytorch/issues/188409";>#188409</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/78e737ad29420ffc4800e677c51e2a852caf8359";><code>78e737a</code></a> [release/2.13] Revert "Tighten generalized scatter graph target (<a href="https://redirect.github.com/pytorch/pytorch/issues/184075";>#184075</a>)" (#...</li> <li><a href="https://github.com/pytorch/pytorch/commit/0bb9b5bc24bed3278488372d62d9f2235e9e77e3";><code>0bb9b5b</code></a> [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...</li> <li><a href="https://github.com/pytorch/pytorch/commit/aaac2bfe460c04a4d41e83e03452d2347f7142b9";><code>aaac2bf</code></a> [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...</li> <li><a href="https://github.com/pytorch/pytorch/commit/933081368c3ab64fa2e953217e413b3ba52844e3";><code>9330813</code></a> Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (<a href="https://redirect.github.com/pytorch/pytorch/issues/188192";>#188192</a>)</li> <li><a href="https://github.com/pytorch/pytorch/commit/4e077a7dcf29167db9e97d86cc62f431905e09f7";><code>4e077a7</code></a> Remove setuptools upper bound (<a href="https://redirect.github.com/pytorch/pytorch/issues/188190";>#188190</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v2.7.1...v2.13.0";>compare view</a></li> </ul> </details> <br /> [](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. 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