From b856e33eb61e42abddbb69fb3715733a159a9f8a Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Thu, 18 Jun 2026 15:25:23 -0400
Subject: [PATCH] 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="https://github.com/pytorch/pytorch/commit/7269437d655783a26cba32aa88195b741ff496aa"><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="https://github.com/pytorch/pytorch/commit/88f16c2e68c0bcd24fcc974014c044a4995b26f4"><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="https://github.com/pytorch/pytorch/commit/ccf6e670f128f7f64492468581f89a14fc127eb1"><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="https://github.com/pytorch/pytorch/commit/88a6dc788f17f2bf1cc53672b8c40f13cda0673e"><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="https://github.com/pytorch/pytorch/commit/ded55054597e87d73d21266c3099d71943d0515f"><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="https://github.com/pytorch/pytorch/commit/0d62256a2b23365f8e1604297eb23a6545102aa8"><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="https://github.com/pytorch/pytorch/commit/7661cd9c6b841b62b7f411aa52ec51f05457263b"><code>7661cd9</code></a>
[MPS] Fix SDPA wrong output for permuted q/k/v with B &gt; 1 (<a
href="https://redirect.github.com/pytorch/pytorch/issues/181886">#181886</a>)</li>
<li><a
href="https://github.com/pytorch/pytorch/commit/9da6087ab64ab6a2118686420ca5353c90dd7e1f"><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="https://github.com/pytorch/pytorch/commit/e4c37cc011d47246ce8ea4b99c9b28fb7f400224"><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="https://github.com/pytorch/pytorch/commit/822d047dc8dd8d919f83c3ad5c786e405075d1f0"><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 />


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---
 libs/text-splitters/uv.lock | 351 ++++++++++++++++++++++--------------
 1 file changed, 216 insertions(+), 135 deletions(-)

diff --git a/libs/text-splitters/uv.lock b/libs/text-splitters/uv.lock
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