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dependabot[bot] b856e33eb6 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 &gt; 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 />


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2026-06-18 15:25:23 -04:00

langchain_text_splitters

chore(core): fix some any generics (#34545 )

2026-06-10 15:32:14 -04:00

scripts

ci: avoid unnecessary dep installs in lint targets (#36046 )

2026-03-17 21:23:29 -04:00

tests

fix(langchain): tighten structured output model fallbacks (#38042 )

2026-06-10 21:18:14 -04:00

extended_testing_deps.txt

chore: update lxml requirement from <7.0,>=4.9.3 to >=6.1.0,<7.0 in /libs/text-splitters (#37126 )

2026-05-01 10:12:49 -04:00

Makefile

fix(infra): correct lint_diff relative paths in package makefiles (#36333 )

2026-03-28 02:32:02 -04:00

pyproject.toml

release(core): 1.4.7 (#38111 )

2026-06-12 14:54:25 -04:00

README.md

docs: refresh README installation and resources (#38119 )

2026-06-12 17:38:22 -04:00

uv.lock

chore: bump torch from 2.9.1 to 2.12.1 in /libs/text-splitters (#38231 )

2026-06-18 15:25:23 -04:00

README.md

🦜✂️ LangChain Text Splitters

Looking for the JS/TS version? Check out LangChain.js.

Quick Install

uv add langchain-text-splitters

🤔 What is this?

LangChain Text Splitters contains utilities for splitting into chunks a wide variety of text documents.

📖 Documentation

For full documentation, see the API reference.

📕 Releases & Versioning

See our Releases and Versioning policies.

We encourage pinning your version to a specific version in order to avoid breaking your CI when we publish new tests. We recommend upgrading to the latest version periodically to make sure you have the latest tests.

Not pinning your version will ensure you always have the latest tests, but it may also break your CI if we introduce tests that your integration doesn't pass.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Resources

LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
Code of Conduct — community guidelines and standards