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Bump the dependabot group across 1 directory with 3 updates (#309)
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Bumps the dependabot group with 3 updates in the / directory:
[pip](https://github.com/pypa/pip),
[setuptools](https://github.com/pypa/setuptools) and
[tensorflow](https://github.com/tensorflow/tensorflow).

Updates `pip` from 24.2 to 24.3.1
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/pypa/pip/blob/main/NEWS.rst">pip's
changelog</a>.</em></p>
<blockquote>
<h1>24.3.1 (2024-10-27)</h1>
<h2>Bug Fixes</h2>
<ul>
<li>Allow multiple nested inclusions of the same requirements file
again. (<code>[#13046](pypa/pip#13046)
&lt;https://github.com/pypa/pip/issues/13046&gt;</code>_)</li>
</ul>
<h1>24.3 (2024-10-27)</h1>
<h2>Deprecations and Removals</h2>
<ul>
<li>Deprecate wheel filenames that are not compliant with
:pep:<code>440</code>.
(<code>[#12918](pypa/pip#12918)
&lt;https://github.com/pypa/pip/issues/12918&gt;</code>_)</li>
</ul>
<h2>Features</h2>
<ul>
<li>Detect recursively referencing requirements files and help users
identify
the source. (<code>[#12653](pypa/pip#12653)
&lt;https://github.com/pypa/pip/issues/12653&gt;</code>_)</li>
<li>Support for :pep:<code>730</code> iOS wheels.
(<code>[#12961](pypa/pip#12961)
&lt;https://github.com/pypa/pip/issues/12961&gt;</code>_)</li>
</ul>
<h2>Bug Fixes</h2>
<ul>
<li>Display a better error message when an already installed package has
an invalid requirement.
(<code>[#12953](pypa/pip#12953)
&lt;https://github.com/pypa/pip/issues/12953&gt;</code>_)</li>
<li>Ignore <code>PIP_TARGET</code> and <code>pip.conf</code>
<code>global.target</code> when preparing a build environment.
(<code>[#8438](pypa/pip#8438)
&lt;https://github.com/pypa/pip/issues/8438&gt;</code>_)</li>
<li>Restore support for macOS 10.12 and older (via truststore).
(<code>[#12901](pypa/pip#12901)
&lt;https://github.com/pypa/pip/issues/12901&gt;</code>_)</li>
<li>Allow installing pip in editable mode in a virtual environment on
Windows. (<code>[#12666](pypa/pip#12666)
&lt;https://github.com/pypa/pip/issues/12666&gt;</code>_)</li>
</ul>
<h2>Vendored Libraries</h2>
<ul>
<li>Upgrade certifi to 2024.8.30</li>
<li>Upgrade distlib to 0.3.9</li>
<li>Upgrade truststore to 0.10.0</li>
<li>Upgrade urllib3 to 1.26.20</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/pypa/pip/commit/05293b6b55eca86490b7c2944bcc558a56064f0d"><code>05293b6</code></a>
Bump for release</li>
<li><a
href="https://github.com/pypa/pip/commit/6a5db8b107bb0063c69dc5ccd39dbfef14ca7a32"><code>6a5db8b</code></a>
Merge pull request <a
href="https://redirect.github.com/pypa/pip/issues/13047">#13047</a> from
sbidoul/fix-13046</li>
<li><a
href="https://github.com/pypa/pip/commit/7be54ced1cca2c850e79e8fbe9ec2b76947b2b6f"><code>7be54ce</code></a>
Don't fail when the same req file is included more than once</li>
<li><a
href="https://github.com/pypa/pip/commit/4f6aeb17ed540e181b9ad1dea8d7b5389effd21b"><code>4f6aeb1</code></a>
Merge pull request <a
href="https://redirect.github.com/pypa/pip/issues/13044">#13044</a> from
sbidoul/release/24.3</li>
<li><a
href="https://github.com/pypa/pip/commit/e1b1d51fe8d0f4b84b77206173ceb656caa2edeb"><code>e1b1d51</code></a>
Bump for development</li>
<li><a
href="https://github.com/pypa/pip/commit/cdba22f49b425fe4a57a8daf992fd6335c8010a1"><code>cdba22f</code></a>
Bump for release</li>
<li><a
href="https://github.com/pypa/pip/commit/27f8374e8dd49141bd2397c0e8e8093cf3676ff7"><code>27f8374</code></a>
Update AUTHORS.txt</li>
<li><a
href="https://github.com/pypa/pip/commit/c79d01953357913f421f192f51ffa9bab0a75ba0"><code>c79d019</code></a>
Merge pull request <a
href="https://redirect.github.com/pypa/pip/issues/13033">#13033</a> from
sbidoul/vendoring-24.3-sbi</li>
<li><a
href="https://github.com/pypa/pip/commit/3ca89215a96f9b05619fc52bb778c19f26b84a9f"><code>3ca8921</code></a>
Merge pull request <a
href="https://redirect.github.com/pypa/pip/issues/13041">#13041</a> from
sethmlarson/truststore-0.10.0</li>
<li><a
href="https://github.com/pypa/pip/commit/0cc7375ff0a42ddfa19f23f42cb96d6d7c06d29b"><code>0cc7375</code></a>
Upgrade vendored truststore to 0.10.0</li>
<li>Additional commits viewable in <a
href="https://github.com/pypa/pip/compare/24.2...24.3.1">compare
view</a></li>
</ul>
</details>
<br />

Updates `setuptools` from 75.1.0 to 75.2.0
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/pypa/setuptools/blob/main/NEWS.rst">setuptools's
changelog</a>.</em></p>
<blockquote>
<h1>v75.2.0</h1>
<h2>Features</h2>
<ul>
<li>Made errors when parsing <code>Distribution</code> data more
explicit about the expected type (<code>tuple[str, ...] |
list[str]</code>) -- by :user:<code>Avasam</code> (<a
href="https://redirect.github.com/pypa/setuptools/issues/4578">#4578</a>)</li>
</ul>
<h2>Bugfixes</h2>
<ul>
<li>Fix a <code>TypeError</code> when a <code>Distribution</code>'s old
included attribute was a <code>tuple</code> -- by
:user:<code>Avasam</code> (<a
href="https://redirect.github.com/pypa/setuptools/issues/4578">#4578</a>)</li>
<li>Add workaround for <code>bdist_wheel --dist-info-dir</code> errors
when customisation does not inherit from setuptools. (<a
href="https://redirect.github.com/pypa/setuptools/issues/4684">#4684</a>)</li>
</ul>
<h1>v75.1.1</h1>
<h2>Bugfixes</h2>
<ul>
<li>Re-use pre-existing <code>.dist-info</code> dir when creating wheels
via the build backend APIs (PEP 517) and the
<code>metadata_directory</code> argument is passed -- by
:user:<code>pelson</code>. (<a
href="https://redirect.github.com/pypa/setuptools/issues/1825">#1825</a>)</li>
<li>Changed <code>egg_info</code> command to avoid adding an empty
<code>.egg-info</code> directory
while iterating over entry-points.
This avoids triggering integration problems with
<code>importlib.metadata</code>/<code>importlib_metadata</code>
(reference: <a
href="https://redirect.github.com/pypa/pyproject-hooks/issues/206">pypa/pyproject-hooks#206</a>).
(<a
href="https://redirect.github.com/pypa/setuptools/issues/4680">#4680</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/pypa/setuptools/commit/61a5a03fbf8acc59e6e12144011aa06b85162bda"><code>61a5a03</code></a>
Bump version: 75.1.1 → 75.2.0</li>
<li><a
href="https://github.com/pypa/setuptools/commit/8ad3ea7509e7f0168f86fbf191ae4e9f13229210"><code>8ad3ea7</code></a>
Workaround for <code>bdist_wheel.dist_info_dir</code> problems (<a
href="https://redirect.github.com/pypa/setuptools/issues/4684">#4684</a>)</li>
<li><a
href="https://github.com/pypa/setuptools/commit/9af08776190841f022136be4192dfeeafd65406d"><code>9af0877</code></a>
Type sequence checks in setuptools/dist.py (<a
href="https://redirect.github.com/pypa/setuptools/issues/4578">#4578</a>)</li>
<li><a
href="https://github.com/pypa/setuptools/commit/0534fde847e0bd0c2214d6821c042c0eb5c0ffc3"><code>0534fde</code></a>
Add news fragment</li>
<li><a
href="https://github.com/pypa/setuptools/commit/50b732a4006f3b84315d4473f7c203e4fe13aed9"><code>50b732a</code></a>
Check for more specific error message</li>
<li><a
href="https://github.com/pypa/setuptools/commit/a663287c9c5f0bfc5e05addfb3a15fea7fc716c3"><code>a663287</code></a>
Add pragma for edge-case code path</li>
<li><a
href="https://github.com/pypa/setuptools/commit/96be735ca2e77b7db876133dfda0b4df3ced4ac0"><code>96be735</code></a>
Workaround for bdist_wheel.dist_info_dir problems</li>
<li><a
href="https://github.com/pypa/setuptools/commit/000a413e2af9c271166cebe6909ad664907887f1"><code>000a413</code></a>
Deprecate public access to setuptools.dist.sequence</li>
<li><a
href="https://github.com/pypa/setuptools/commit/00995c1e3d45393931ffb2e326e503819bee1728"><code>00995c1</code></a>
Use variable msg instead of tmpl in setuptools/dist</li>
<li><a
href="https://github.com/pypa/setuptools/commit/d457d0e87889aefe2093cd79ab4d1ee35d3101e7"><code>d457d0e</code></a>
Type sequence checks in setuptools/dist.py</li>
<li>Additional commits viewable in <a
href="https://github.com/pypa/setuptools/compare/v75.1.0...v75.2.0">compare
view</a></li>
</ul>
</details>
<br />

Updates `tensorflow` from 2.17.0 to 2.18.0
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/tensorflow/tensorflow/releases">tensorflow's
releases</a>.</em></p>
<blockquote>
<h2>TensorFlow 2.18.0</h2>
<h1>Release 2.18.0</h1>
<h2>TensorFlow</h2>
<h3>Breaking Changes</h3>
<ul>
<li>
<p><code>tf.lite</code></p>
<ul>
<li>C API:
<ul>
<li>An optional, fourth parameter was added
<code>TfLiteOperatorCreate</code> as a step forward towards a cleaner
API for <code>TfLiteOperator</code>. Function
<code>TfLiteOperatorCreate</code> was added recently, in TensorFlow Lite
version 2.17.0, released on 7/11/2024, and we do not expect there will
be much code using this function yet. Any code breakages can be easily
resolved by passing nullptr as the new, 4th parameter.</li>
</ul>
</li>
</ul>
</li>
<li>
<p>TensorRT support is disabled in CUDA builds for code health
improvement.</p>
</li>
<li>
<p>Hermetic CUDA support is added.</p>
<p>Hermetic CUDA uses a specific downloadable version of CUDA instead of
the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and
NCCL distributions, and then use CUDA libraries and tools as
dependencies in various Bazel targets. This enables more reproducible
builds for Google ML projects and supported CUDA versions.</p>
</li>
</ul>
<h3>Known Caveats</h3>
<h3>Major Features and Improvements</h3>
<ul>
<li>TensorFlow now supports and is compiled with NumPy 2.0 by default.
Please see the <a
href="https://numpy.org/doc/stable/release/2.0.0-notes.html">NumPy 2
release notes</a> and the <a
href="https://numpy.org/devdocs/numpy_2_0_migration_guide.html#numpy-2-migration-guide">NumPy
2 migration guide</a>.
<ul>
<li>Note that NumPy's type promotion rules have been changed(See <a
href="https://numpy.org/neps/nep-0050-scalar-promotion.html#nep50">NEP
50</a>for details). This may change the precision at which computations
happen, leading either to type errors or to numerical changes to
results.</li>
<li>Tensorflow will continue to support NumPy 1.26 until 2025, aligning
with community standard deprecation timeline <a
href="https://scientific-python.org/specs/spec-0000/">here</a>.</li>
</ul>
</li>
<li><code>tf.lite</code>:
<ul>
<li>The LiteRT <a
href="https://github.com/google-ai-edge/LiteRT">repo</a> is live (see <a
href="https://developers.googleblog.com/en/tensorflow-lite-is-now-litert/">announcement</a>),
which means that in the coming months there will be changes to the
development experience for TFLite. The TF Lite Runtime source will be
moved later this year, and sometime after that we will start accepting
contributions through that repo.</li>
</ul>
</li>
<li>SignatureRunner is now supported for models with no signatures.</li>
</ul>
<h3>Bug Fixes and Other Changes</h3>
<ul>
<li>
<p><code>tf.data</code></p>
<ul>
<li>Add optional <code>synchronous</code> argument to <code>map</code>,
to specify that the <code>map</code> should run synchronously, as
opposed to be parallelizable when
<code>options.experimental_optimization.map_parallelization=True</code>.
This saves memory compared to setting
<code>num_parallel_calls=1</code>.</li>
<li>Add optional <code>use_unbounded_threadpool</code> argument to
<code>map</code>, to specify that the <code>map</code> should use an
unbounded threadpool instead of the default pool that is based on the
number of cores on the machine. This can improve throughput for map
functions which perform IO or otherwise release the CPU.</li>
<li>Add <a
href="https://www.tensorflow.org/api_docs/python/tf/data/experimental/get_model_proto"><code>tf.data.experimental.get_model_proto</code></a>
to allow users to peek into the analytical model inside of a dataset
iterator.</li>
</ul>
</li>
<li>
<p><code>tf.lite</code></p>
<ul>
<li><code>Dequantize</code> op supports <code>TensorType_INT4</code>.
<ul>
<li>This change includes per-channel dequantization.</li>
</ul>
</li>
<li>Add support for <code>stablehlo.composite</code>.</li>
<li><code>EmbeddingLookup</code> op supports per-channel quantization
and <code>TensorType_INT4</code> values.</li>
<li><code>FullyConnected</code> op supports
<code>TensorType_INT16</code> activation and
<code>TensorType_Int4</code> weight per-channel quantization.</li>
</ul>
</li>
<li>
<p><code>tf.tensor_scatter_update</code>,
<code>tf.tensor_scatter_add</code> and of other reduce types.</p>
<ul>
<li>Support <code>bad_indices_policy</code>.</li>
</ul>
</li>
</ul>
<h2>Thanks to our Contributors</h2>
<p>This release contains contributions from many people at Google, as
well as:</p>
<p>Akhil Goel, akhilgoe, Alexander Pivovarov, Amir Samani, Andrew
Goodbody, Andrey Portnoy, Anthony Platanios, bernardoArcari, Brett
Taylor, buptzyb, Chao, Christian Clauss, Cocoa, Daniil Kutz, Darya
Parygina, dependabot[bot], Dimitris Vardoulakis, Dragan Mladjenovic,
Elfie Guo, eukub, Faijul Amin, flyingcat, Frédéric Bastien, ganyu.08,
Georg Stefan Schmid, Grigory Reznikov, Harsha H S, Harshit Monish,
Heiner, Ilia Sergachev, Jan, Jane Liu, Jaroslav Sevcik, Kaixi Hou, Kanvi
Khanna, Kristof Maar, Kristóf Maár, LakshmiKalaKadali, Lbertho-Gpsw,
lingzhi98, MarcoFalke, Masahiro Hiramori, Mmakevic-Amd, mraunak, Nobuo
Tsukamoto, Notheisz57, Olli Lupton, Pearu Peterson, pemeliya, Peyara
Nando, Philipp Hack, Phuong Nguyen, Pol Dellaiera, Rahul Batra, Ruturaj
Vaidya, sachinmuradi, Sergey Kozub, Shanbin Ke, Sheng Yang, shengyu,
Shraiysh, Shu Wang, Surya, sushreebarsa, Swatheesh-Mcw, syzygial, Tai
Ly, terryysun, tilakrayal, Tj Xu, Trevor Morris, Tzung-Han Juang,
wenchenvincent, wondertx, Xuefei Jiang, Ye Huang, Yimei Sun, Yunlong
Liu, Zahid Iqbal, Zhan Lu, Zoranjovanovic-Ns, Zuri Obozuwa</p>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md">tensorflow's
changelog</a>.</em></p>
<blockquote>
<h1>Release 2.18.0</h1>
<h2>TensorFlow</h2>
<h3>Breaking Changes</h3>
<ul>
<li>
<p><code>tf.lite</code></p>
<ul>
<li>C API:
<ul>
<li>An optional, fourth parameter was added
<code>TfLiteOperatorCreate</code> as a step forward towards a cleaner
API for <code>TfLiteOperator</code>. Function
<code>TfLiteOperatorCreate</code> was added recently, in TensorFlow Lite
version 2.17.0, released on 7/11/2024, and we do not expect there will
be much code using this function yet. Any code breakages can be easily
resolved by passing nullptr as the new, 4th parameter.</li>
</ul>
</li>
</ul>
</li>
<li>
<p>TensorRT support is disabled in CUDA builds for code health
improvement.</p>
</li>
<li>
<p>TensorFlow now supports and is compiled with NumPy 2.0 by default.
Please see the <a
href="https://numpy.org/doc/stable/release/2.0.0-notes.html">NumPy 2
release notes</a> and the <a
href="https://numpy.org/devdocs/numpy_2_0_migration_guide.html#numpy-2-migration-guide">NumPy
2 migration guide</a>.</p>
<ul>
<li>Note that NumPy's type promotion rules have been changed(See <a
href="https://numpy.org/neps/nep-0050-scalar-promotion.html#nep50">NEP
50</a>for details). This may change the precision at which computations
happen, leading either to type errors or to numerical changes to
results.</li>
<li>Tensorflow will continue to support NumPy 1.26 until 2025, aligning
with community standard deprecation timeline <a
href="https://scientific-python.org/specs/spec-0000/">here</a>.</li>
</ul>
</li>
<li>
<p>Hermetic CUDA support is added.</p>
<p>Hermetic CUDA uses a specific downloadable version of CUDA instead of
the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and
NCCL distributions, and then use CUDA libraries and tools as
dependencies in various Bazel targets. This enables more reproducible
builds for Google ML projects and supported CUDA versions.</p>
</li>
<li>
<p>Remove the <code>EnumNamesXNNPackFlags</code> function in
<code>tensorflow/lite/acceleration/configuration/configuration_generated.h</code>.</p>
<p>This change is a bug fix in the automatically generated code. This
change is automatically generated by the new flatbuffer generator. The
flatbuffers library is updated to 24.3.25 in <a
href="https://github.com/tensorflow/tensorflow/commit/c17d64df85a83c1bd0fd7dcc0b1230812b0d3d48">https://github.com/tensorflow/tensorflow/commit/c17d64df85a83c1bd0fd7dcc0b1230812b0d3d48</a>.
The new flatbuffers library includes the following change <a
href="https://redirect.github.com/google/flatbuffers/pull/7813">google/flatbuffers#7813</a>
which fixed a underlying flatbuffer code generator bug.</p>
</li>
</ul>
<h3>Known Caveats</h3>
<h3>Major Features and Improvements</h3>
<ul>
<li><code>tf.lite</code>:
<ul>
<li>The LiteRT <a
href="https://github.com/google-ai-edge/LiteRT">repo</a> is live (see <a
href="https://developers.googleblog.com/en/tensorflow-lite-is-now-litert/">announcement</a>),
which means that in the coming months there will be changes to the
development experience for TFLite. The TF Lite Runtime source will be
moved later this year, and sometime after that we will start accepting
contributions through that repo.</li>
<li>SignatureRunner is now supported for models with no signatures.</li>
</ul>
</li>
</ul>
<h3>Bug Fixes and Other Changes</h3>
<ul>
<li>
<p><code>tf.data</code></p>
<ul>
<li>Add optional <code>synchronous</code> argument to <code>map</code>,
to specify that the <code>map</code> should run synchronously, as
opposed to be parallelizable when
<code>options.experimental_optimization.map_parallelization=True</code>.
This saves memory compared to setting
<code>num_parallel_calls=1</code>.</li>
<li>Add optional <code>use_unbounded_threadpool</code> argument to
<code>map</code>, to specify that the <code>map</code> should use an
unbounded threadpool instead of the default pool that is based on the
number of cores on the machine. This can improve throughput for map
functions which perform IO or otherwise release the CPU.</li>
<li>Add <a
href="https://www.tensorflow.org/api_docs/python/tf/data/experimental/get_model_proto"><code>tf.data.experimental.get_model_proto</code></a>
to allow users to peek into the analytical model inside of a dataset
iterator.</li>
</ul>
</li>
<li>
<p><code>tf.lite</code></p>
<ul>
<li><code>Dequantize</code> op supports <code>TensorType_INT4</code>.
<ul>
<li>This change includes per-channel dequantization.</li>
</ul>
</li>
<li>Add support for <code>stablehlo.composite</code>.</li>
<li><code>EmbeddingLookup</code> op supports per-channel quantization
and <code>TensorType_INT4</code> values.</li>
<li><code>FullyConnected</code> op supports
<code>TensorType_INT16</code> activation and
<code>TensorType_Int4</code> weight per-channel quantization.</li>
<li>Enable per-tensor quantization support in dynamic range quantization
of <code>TRANSPOSE_CONV</code> layer. Fixes TFLite converter <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/76624">bug</a>.</li>
</ul>
</li>
<li>
<p><code>tf.tensor_scatter_update</code>,
<code>tf.tensor_scatter_add</code> and of other reduce types.</p>
<ul>
<li>Support <code>bad_indices_policy</code>.</li>
</ul>
</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/6550e4bd80223cdb8be6c3afd1f81e86a4d433c3"><code>6550e4b</code></a>
Merge pull request <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/78464">#78464</a>
from tensorflow/rtg0795-patch-1</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/7e0c244a13a8e2968dce2600960291d5ca056ee1"><code>7e0c244</code></a>
Merge pull request <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/78463">#78463</a>
from tensorflow-jenkins/version-numbers-2.18.0-21101</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/35624d2777a87fd9c335ab6e08b3f2447b233fcf"><code>35624d2</code></a>
Update RELEASE.md to move TFLite SignatureRunner to the right
section</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/8d2c5e150e45747385193ee5ee3ed39f704e0bca"><code>8d2c5e1</code></a>
Update version numbers to 2.18.0</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/d5f4a3f5ddc60df66d732cdba0c3ad1e51b7a339"><code>d5f4a3f</code></a>
Merge pull request <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/77589">#77589</a>
from tensorflow-jenkins/version-numbers-2.18.0rc2-1...</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/7cbcbf33bb370fa5bdf423c9c6b1b6422ed20a6d"><code>7cbcbf3</code></a>
Update version numbers to 2.18.0-rc2</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/84c9398c492f13618dc147f45c20e95ecfc3defe"><code>84c9398</code></a>
Merge pull request <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/77576">#77576</a>
from tensorflow/r2.18-be4f646ec43</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/8fca5e7a885e502545086f2d5fa4e458c7fd63d0"><code>8fca5e7</code></a>
PR <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/17430">#17430</a>:
[ROCm] Use unique_ptr for TupleHandle in pjrt_se_client</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/2c3c798c33a5fbb8b63b7785716702aff222f2c4"><code>2c3c798</code></a>
Merge pull request <a
href="https://redirect.github.com/tensorflow/tensorflow/issues/77025">#77025</a>
from tensorflow-jenkins/version-numbers-2.18.0rc1-2...</li>
<li><a
href="https://github.com/tensorflow/tensorflow/commit/10693a47de32350865f04d4ad422b036552702f9"><code>10693a4</code></a>
Update version numbers to 2.18.0-rc1</li>
<li>Additional commits viewable in <a
href="https://github.com/tensorflow/tensorflow/compare/v2.17.0...v2.18.0">compare
view</a></li>
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4 changes: 2 additions & 2 deletions base-tooling-requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -8,5 +8,5 @@ tomli==2.0.1 --hash=sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f42
typing-extensions==4.12.0 --hash=sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8 --hash=sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594
wheel==0.44.0 --hash=sha256:2376a90c98cc337d18623527a97c31797bd02bad0033d41547043a1cbfbe448f --hash=sha256:a29c3f2817e95ab89aa4660681ad547c0e9547f20e75b0562fe7723c9a2a9d49
zipp==3.20.0 --hash=sha256:0145e43d89664cfe1a2e533adc75adafed82fe2da404b4bbb6b026c0157bdb31 --hash=sha256:58da6168be89f0be59beb194da1250516fdaa062ccebd30127ac65d30045e10d
pip==24.2 --hash=sha256:2cd581cf58ab7fcfca4ce8efa6dcacd0de5bf8d0a3eb9ec927e07405f4d9e2a2 --hash=sha256:5b5e490b5e9cb275c879595064adce9ebd31b854e3e803740b72f9ccf34a45b8
setuptools==75.1.0 --hash=sha256:35ab7fd3bcd95e6b7fd704e4a1539513edad446c097797f2985e0e4b960772f2 --hash=sha256:d59a21b17a275fb872a9c3dae73963160ae079f1049ed956880cd7c09b120538
pip==24.3.1 --hash=sha256:3790624780082365f47549d032f3770eeb2b1e8bd1f7b2e02dace1afa361b4ed --hash=sha256:ebcb60557f2aefabc2e0f918751cd24ea0d56d8ec5445fe1807f1d2109660b99
setuptools==75.2.0 --hash=sha256:753bb6ebf1f465a1912e19ed1d41f403a79173a9acf66a42e7e6aec45c3c16ec --hash=sha256:a7fcb66f68b4d9e8e66b42f9876150a3371558f98fa32222ffaa5bced76406f8
38 changes: 19 additions & 19 deletions requirements.txt
Original file line number Diff line number Diff line change
Expand Up @@ -1223,31 +1223,31 @@ tabulate==0.9.0 \
--hash=sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c \
--hash=sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f
# via -r requirements.in
tensorboard==2.17.1 \
--hash=sha256:253701a224000eeca01eee6f7e978aea7b408f60b91eb0babdb04e78947b773e
tensorboard==2.18.0 \
--hash=sha256:107ca4821745f73e2aefa02c50ff70a9b694f39f790b11e6f682f7d326745eab
# via tensorflow
tensorboard-data-server==0.7.2 \
--hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \
--hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
--hash=sha256:ef687163c24185ae9754ed5650eb5bc4d84ff257aabdc33f0cc6f74d8ba54530
# via tensorboard
tensorflow==2.17.0 \
--hash=sha256:0ad7bfea6afb4ded3928ca5b24df9fda876cea4904c103a5163fcc0c3483e7a4 \
--hash=sha256:147c93ded4cb7e500a65d3c26d74744ff41660db7a8afe2b00d1d08bf329b4ec \
--hash=sha256:278bc80642d799adf08dc4e04f291aab603bba7457d50c1f9bc191ebbca83f43 \
--hash=sha256:4ae8e6746deb2ec807b902ba26d62fcffb6a6b53555a1a5906ec00416c5e4175 \
--hash=sha256:515fe5ae8a9bc50312575412b08515f3ca66514c155078e0707bdffbea75d783 \
--hash=sha256:72adfef0ee39dd641627906fd7b244fcf21bdd8a87216a998ed74d9c74653aff \
--hash=sha256:8339777b1b5ebd8ffadaa8196f786e65fbb081a371d8e87b52f24563392d8552 \
--hash=sha256:8f80d11ad3766570deb6ff47d2bed2d166f51399ca08205e38ef024345571d6f \
--hash=sha256:97f89e95d68b4b46e1072243b9f315c3b340e27cc07b1e1988e2ca97ad844305 \
--hash=sha256:b36683ac28af20abc3a548c72bf4537b00df1b1f3dd39d59df3873fefaf26f15 \
--hash=sha256:ca82f98ea38fa6c9e08ccc69eb6c2fab5b35b30a8999115b8b63b6f02fc69d9d \
--hash=sha256:dde37cff74ed22b8fa2eea944805b001ae38e96adc989666422bdea34f4e2d47 \
--hash=sha256:e46090587f69e33637d17d7c3d94a790cac7d4bc5ff5ecbf3e71fdc6982fe96e \
--hash=sha256:e8d26d6c24ccfb139db1306599257ca8f5cfe254ef2d023bfb667f374a17a64d \
--hash=sha256:ee18b4fcd627c5e872eabb25092af6c808b6ec77948662c88fc5c89a60eb0211 \
--hash=sha256:ef615c133cf4d592a073feda634ccbeb521a554be57de74f8c318d38febbeab5
tensorflow==2.18.0 \
--hash=sha256:1eb77fae50d699442726d1b23c7512c97cd688cc7d857b028683d4535bbf3709 \
--hash=sha256:336cace378c129c20fee6292f6a541165073d153a9a4c9cf4f14478a81895776 \
--hash=sha256:453cb60638a02fd26316fb36c8cbcf1569d33671f17c658ca0cf2b4626f851e7 \
--hash=sha256:46f5a8b4e6273f488dc069fc3ac2211b23acd3d0437d919349c787fa341baa8a \
--hash=sha256:4822904b3559d8a9c25f0fe5fef191cfc1352ceca42ca64f2a7bc7ae0ff4a1f5 \
--hash=sha256:589342fb9bdcab2e9af0f946da4ca97757677e297d934fcdc087e87db99d6353 \
--hash=sha256:6e8b0f499ef0b7652480a58e358a73844932047f21c42c56f7f3bdcaf0803edc \
--hash=sha256:70b8dd70fa3600bfce66ab529eebb804e1f9d7c863d2f71bc8fe9fc7a1ec3976 \
--hash=sha256:85f1e7369af6d329b117b52e86093cd1e0458dd5404bf5b665853f873dd00b48 \
--hash=sha256:8da90a9388a1f6dd00d626590d2b5810faffbb3e7367f9783d80efff882340ee \
--hash=sha256:a701c2d3dca5f2efcab315b2c217f140ebd3da80410744e87d77016b3aaf53cb \
--hash=sha256:ada1f7290c75b34748ee7378c1b77927e4044c94b8dc72dc75e7667c4fdaeb94 \
--hash=sha256:bcfd32134de8f95515b2d0ced89cdae15484b787d3a21893e9291def06c10c4e \
--hash=sha256:bfdd65ea7e064064283dd78d529dd621257ee617218f63681935fd15817c6286 \
--hash=sha256:ec4133a215c59314e929e7cbe914579d3afbc7874d9fa924873ee633fe4f71d0 \
--hash=sha256:f8c946df1cb384504578fac1c199a95322373b8e04abd88aa8ae01301df469ea
# via -r requirements.in
tensorflow-io-gcs-filesystem==0.37.1 \
--hash=sha256:0df00891669390078a003cedbdd3b8e645c718b111917535fa1d7725e95cdb95 \
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