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Posted to github@beam.apache.org by "dependabot[bot] (via GitHub)" <gi...@apache.org> on 2026/07/17 17:49:24 UTC
[PR] Bump torch from 1.13.1 to 2.13.0 in /sdks/python/apache_beam/examples/inference/runinference_metrics [beam]
dependabot[bot] opened a new pull request, #39373:
URL: https://github.com/apache/beam/pull/39373
Bumps [torch](https://github.com/pytorch/pytorch) from 1.13.1 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>
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</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/v1.13.1...v2.13.0">compare view</a></li>
</ul>
</details>
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Re: [PR] Bump torch from 1.13.1 to 2.13.0 in /sdks/python/apache_beam/examples/inference/runinference_metrics [beam]
Posted by "dependabot[bot] (via GitHub)" <gi...@apache.org>.
dependabot[bot] commented on PR #39373:
URL: https://github.com/apache/beam/pull/39373#issuecomment-5006056165
OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting `@dependabot ignore this major version` or `@dependabot ignore this minor version`. You can also ignore all major, minor, or patch releases for a dependency by adding an [`ignore` condition](https://docs.github.com/en/code-security/supply-chain-security/configuration-options-for-dependency-updates#ignore) with the desired `update_types` to your config file.
If you change your mind, just re-open this PR and I'll resolve any conflicts on it.
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Re: [PR] Bump torch from 1.13.1 to 2.13.0 in /sdks/python/apache_beam/examples/inference/runinference_metrics [beam]
Posted by "derrickaw (via GitHub)" <gi...@apache.org>.
derrickaw closed pull request #39373: Bump torch from 1.13.1 to 2.13.0 in /sdks/python/apache_beam/examples/inference/runinference_metrics
URL: https://github.com/apache/beam/pull/39373
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