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Posted to github@beam.apache.org by "dependabot[bot] (via GitHub)" <gi...@apache.org> on 2025/05/30 17:59:25 UTC
[PR] Bump torch from 1.13.1 to 2.7.0 in /sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing [beam]
dependabot[bot] opened a new pull request, #35102:
URL: https://github.com/apache/beam/pull/35102
Bumps [torch](https://github.com/pytorch/pytorch) from 1.13.1 to 2.7.0.
<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 2.7.0 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/#tracked-regressions">Tracked Regressions</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>
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</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/pytorch/pytorch/commit/134179474539648ba7dee1317959529fbd0e7f89"><code>1341794</code></a> Gracefully handle optree less than minimum version, part 2 (<a href="https://redirect.github.com/pytorch/pytorch/issues/151323">#151323</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/073912749d667fcfb2de1c15e1e664dc0ccd3460"><code>0739127</code></a> Gracefully handle optree less than minimum version (<a href="https://redirect.github.com/pytorch/pytorch/issues/150977">#150977</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/0c236f3c722abc8e76fc16fae90946af9a895ce5"><code>0c236f3</code></a> Update triton wheel build, setuptools pin (<a href="https://redirect.github.com/pytorch/pytorch/issues/150953">#150953</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/c7ff78dfc0c38847bf5daa78ab8b3669e1734246"><code>c7ff78d</code></a> Fix inplacing with multiple, fused uses (<a href="https://redirect.github.com/pytorch/pytorch/issues/150892">#150892</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/894909a6139ff38d056d3ca5cfa33a020c7602c1"><code>894909a</code></a> Revert "[CUDA] Only use vec128 if CUDA version is newer than 12.8" (<a href="https://redirect.github.com/pytorch/pytorch/issues/150855">#150855</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/ef2b1390ed5fda1f50843bf5977e5f8cf5e40493"><code>ef2b139</code></a> [Manylinux 2.28] Correct Linux aarch64 cuda binaries wheel name (<a href="https://redirect.github.com/pytorch/pytorch/issues/150820">#150820</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/3f236f19032ff6424160018c024478c83b6ad6b9"><code>3f236f1</code></a> [CUDA] Only use vec128 if CUDA version is newer than 12.8 (<a href="https://redirect.github.com/pytorch/pytorch/issues/150818">#150818</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/35f1e7621254da1dcc8b24797059e9d010d49196"><code>35f1e76</code></a> Reland of "[ROCm] change preferred blas lib defaults (<a href="https://redirect.github.com/pytorch/pytorch/issues/150249">#150249</a>)"" (<a href="https://redirect.github.com/pytorch/pytorch/issues/150707">#150707</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/a6321d62273dd281a08b1c4ec87ce3edd5b330dc"><code>a6321d6</code></a> Revert "Dont exclude constant_pad_nd in prologue fusion" (<a href="https://redirect.github.com/pytorch/pytorch/issues/150699">#150699</a>)</li>
<li><a href="https://github.com/pytorch/pytorch/commit/1cc51c640a717335b7bc48c11e28a1f5391b99e1"><code>1cc51c6</code></a> [CUDA][avgpool2d] Fix backward launch bounds again for <code>sm100</code>, <code>sm120</code> (<a href="https://redirect.github.com/pytorch/pytorch/issues/150">#150</a>...</li>
<li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v1.13.1...v2.7.0">compare view</a></li>
</ul>
</details>
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Re: [PR] Bump torch from 1.13.1 to 2.7.0 in /sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing [beam]
Posted by "dependabot[bot] (via GitHub)" <gi...@apache.org>.
dependabot[bot] commented on PR #35102:
URL: https://github.com/apache/beam/pull/35102#issuecomment-2923259698
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 2.7.0 in /sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing [beam]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on PR #35102:
URL: https://github.com/apache/beam/pull/35102#issuecomment-2923252116
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Re: [PR] Bump torch from 1.13.1 to 2.7.0 in /sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing [beam]
Posted by "damccorm (via GitHub)" <gi...@apache.org>.
damccorm closed pull request #35102: Bump torch from 1.13.1 to 2.7.0 in /sdks/python/apache_beam/examples/ml-orchestration/kfp/components/preprocessing
URL: https://github.com/apache/beam/pull/35102
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