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chore: bump torch from 2.9.1 to 2.12.1 in /libs/text-splitters (#38231)
Bumps [torch](https://github.com/pytorch/pytorch) from 2.9.1 to 2.12.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/pytorch/pytorch/releases">torch's releases</a>.</em></p> <blockquote> <h2>PyTorch 2.12.1 Release, bug fix release</h2> <p>This release is meant to fix the following regressions and silent correctness issues:</p> <h2>Regression fixes</h2> <ul> <li>Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (<a href="https://redirect.github.com/pytorch/pytorch/issues/181248">#181248</a>), fixed by updating Triton to 3.7.1 (<a href="https://redirect.github.com/pytorch/pytorch/pull/186814">#186814</a>)</li> <li>Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (<a href="https://redirect.github.com/pytorch/pytorch/issues/187081">#187081</a>), fixed by updating Triton to 3.7.1 (<a href="https://redirect.github.com/pytorch/pytorch/pull/186814">#186814</a>)</li> <li>Fix fill_ on byte-dtype views with misaligned storage offset (<a href="https://redirect.github.com/pytorch/pytorch/pull/186821">#186821</a>)</li> </ul> <h2>Releng / Build</h2> <ul> <li>Drop CPython 3.13t from the binary build matrix (<a href="https://redirect.github.com/pytorch/pytorch/pull/182951">#182951</a>)</li> </ul> <h1>PyTorch 2.12.0 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 release blogpost. Below are the full release notes for this release.</p> <h1>Backwards Incompatible Changes</h1> <h2>Build Frontend</h2> <ul> <li> <p>Strengthened SVE compile checks in <code>FindARM.cmake</code>, which may reject previously accepted but incorrect SVE configurations (<a href="https://redirect.github.com/pytorch/pytorch/pull/176646">#176646</a>)</p> <p>Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.</p> </li> <li> <p>Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (<a href="https://redirect.github.com/pytorch/pytorch/pull/178925">#178925</a>)</p> <p>Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure <code>CUDA_HOME</code> points to that installation.</p> <p>Version 2.11:</p> <pre lang="bash"><code>CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop </code></pre> </li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="7269437d65"><code>7269437</code></a> Update triton to 3.7.1 release (<a href="https://redirect.github.com/pytorch/pytorch/issues/186814">#186814</a>)</li> <li><a href="88f16c2e68"><code>88f16c2</code></a> [MPS] Fix fill_ on byte-dtype views with misaligned storage offset (<a href="https://redirect.github.com/pytorch/pytorch/issues/186821">#186821</a>)</li> <li><a href="ccf6e670f1"><code>ccf6e67</code></a> [release-only] Update version to 2.12.1 (<a href="https://redirect.github.com/pytorch/pytorch/issues/186813">#186813</a>)</li> <li><a href="88a6dc788f"><code>88a6dc7</code></a> Revive CUDA 12.9 nightly binary builds (<a href="https://redirect.github.com/pytorch/pytorch/issues/186015">#186015</a>)</li> <li><a href="ded5505459"><code>ded5505</code></a> [CD] Drop CPython 3.13t from binary build matrix (<a href="https://redirect.github.com/pytorch/pytorch/issues/182951">#182951</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/186654">#186654</a>)</li> <li><a href="0d62256a2b"><code>0d62256</code></a> [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (<a href="https://redirect.github.com/pytorch/pytorch/issues/183346">#183346</a>)</li> <li><a href="7661cd9c6b"><code>7661cd9</code></a> [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (<a href="https://redirect.github.com/pytorch/pytorch/issues/181886">#181886</a>)</li> <li><a href="9da6087ab6"><code>9da6087</code></a> Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes <a href="https://redirect.github.com/pytorch/pytorch/issues/182250">#182250</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/182369">#182369</a>)</li> <li><a href="e4c37cc011"><code>e4c37cc</code></a> Avoid raw stream name collisions in Inductor (<a href="https://redirect.github.com/pytorch/pytorch/issues/182178">#182178</a>)</li> <li><a href="822d047dc8"><code>822d047</code></a> [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (<a href="https://redirect.github.com/pytorch/pytorch/issues/182285">#182285</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/182311">#182311</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v2.9.1...v2.12.1">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. You can also trigger a rebase manually by commenting `@dependabot rebase`. 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Reference in New Issue
Block a user