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pip prod(deps): bump onnx from 1.16.2 to 1.17.0 #3232

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merged 1 commit into from
Oct 2, 2024

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@dependabot dependabot bot commented on behalf of github Oct 2, 2024

Bumps onnx from 1.16.2 to 1.17.0.

Release notes

Sourced from onnx's releases.

v1.17.0

ONNX v1.17.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

Key Updates

ai.onnx Opset 22

Python Changes

  • Support for numpy >= 2.0

Bug fixes and infrastructure improvements

  • Fix Check URLs errors 5972
  • Use CMAKE_PREFIX_PATH in finding libprotobuf 5975
  • Bump main VERSION_NUMBER to 1.17.0 5968
  • Fix source and pip tar.gz builds on s390x systems 5984
  • Fix unique_name 5992
  • Fix SegFault bug in shape inference 5990
  • Fix onnx.compose when connecting subgraphs 5991
  • Fix conversion from split 11 to split 18 6020
  • Update error messages for NegativeLogLikelihoodLoss inference function 6021
  • Generalize input/output number check in shape inference 6005
  • Replace rank inference with shape inference for Einsum op 6010
  • build from source instruction with latest cmake change 6038
  • Handle OneHot's depth value during shape inference 5963
  • Not to install cmake in pyproject.toml on Windows 6045
  • fix a skipped shape infer code 6049
  • Include the ".onnxtext" extension in supported serialization format 6051
  • Allow ReferenceEvaluator to return intermediate results 6066
  • Fix 1 typo in numpy_helper.py 6041
  • Remove benchmarking code 6076
  • Prevent crash on import after GCC 8 builds 6048
  • Check graph outputs are defined 6083
  • Enable additional ruff rules 6032
  • Add missing shape inference check for DequantizeLinear 6080
  • Add bfloat16 to all relevant ops 6099
  • fix(ci): install python dependencies with --only-binary :all: in manylinux 6120
  • fix: install google-re2 with --only-binary option 6129
  • Specify axis parameter for DequantizeLinear when input rank is 1 6095
  • Pin onnxruntime to 1.17.3 for release CIs 6143
  • Fix INT4 TensorProto byte size is 5x larger than expected with negative values 6161
  • Mitigate tarball directory traversal risks 6164
  • Fix reference implementation for ScatterND with 4D tensors 6174
  • Addition of group > 1 in test and in backend for ConvTranspose 6175
  • Support for bfloat16 for binary, unary operators in reference implementation 6166
  • Refactor windows workflow to work on standard windows 6190
  • Fix a few crashes while running shape inference 6195
  • Update onnx to work with numpy>=2.0 6196
  • Use sets to improve performance of dfs search 6213

... (truncated)

Commits

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Bumps [onnx](https://github.com/onnx/onnx) from 1.16.2 to 1.17.0.
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.16.2...v1.17.0)

---
updated-dependencies:
- dependency-name: onnx
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Oct 2, 2024
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 90.07%. Comparing base (0b18d6c) to head (8fd0fda).
Report is 1 commits behind head on main.

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@@           Coverage Diff           @@
##             main    #3232   +/-   ##
=======================================
  Coverage   90.07%   90.07%           
=======================================
  Files         438      438           
  Lines       54881    54881           
  Branches     8523     8523           
=======================================
  Hits        49433    49433           
  Misses       4065     4065           
  Partials     1383     1383           

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@superlopuh superlopuh merged commit 4f427e9 into main Oct 2, 2024
14 checks passed
@superlopuh superlopuh deleted the dependabot/pip/onnx-1.17.0 branch October 2, 2024 09:14
emmau678 pushed a commit that referenced this pull request Oct 8, 2024
Bumps [onnx](https://github.com/onnx/onnx) from 1.16.2 to 1.17.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/onnx/onnx/releases">onnx's
releases</a>.</em></p>
<blockquote>
<h2>v1.17.0</h2>
<p>ONNX v1.17.0 is now available with exciting new features! We would
like to thank everyone who contributed to this release!
Please visit <a href="https://onnx.ai/">onnx.ai</a> to learn more about
ONNX and associated projects.</p>
<h1>Key Updates</h1>
<h2>ai.onnx Opset 22</h2>
<ul>
<li>Update to support bfloat16:
<ul>
<li><a
href="https://onnx.ai/onnx/operators/onnx__Acos.html#acos-22">Acos</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Acosh.html#acosh-22">Acosh</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Asin.html#asin-22">Asin</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Asinh.html#asinh-22">Asinh</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Atan.html#atan-22">Atan</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Atanh.html#atanh-22">Atanh</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__AveragePool.html#averagepool-22">AveragePool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Bernoulli.html#bernoulli-22">Bernoulli</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Conv.html#conv-22">Conv</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__ConvTranspose.html#convtranspose-22">ConvTranspose</a>,
<a href="https://onnx.ai/onnx/operators/onnx__Cos.html#cos-22">Cos</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Cosh.html#cosh-22">Cosh</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__DeformConv.html#deformconv-22">DeformConv</a>,
<a href="https://onnx.ai/onnx/operators/onnx__Det.html#det-22">Det</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Dropout.html#dropout-22">Dropout</a>,
<a href="https://onnx.ai/onnx/operators/onnx__Elu.html#elu-22">Elu</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__EyeLike.html#eyelike-22">EyeLike</a>,
<a href="https://onnx.ai/onnx/operators/onnx__GRU.html#gru-22">GRU</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__GlobalAveragePool.html#globalaveragepool-22">GlobalAveragePool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__GlobalLpPool.html#globallppool-22">GlobalLpPool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__GlobalMaxPool.html#globalmaxpool-22">GlobalMaxPool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__GridSample.html#gridsample-22">GridSample</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__HardSigmoid.html#hardsigmoid-22">HardSigmoid</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__HardSwish.html#hardswish-22">HardSwish</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__InstanceNormalization.html#instancenormalization-22">InstanceNormalization</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__LSTM.html#lstm-22">LSTM</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__LpNormalization.html#lpnormalization-22">LpNormalization</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__LpPool.html#lppool-22">LpPool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__MaxPool.html#maxpool-22">MaxPool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__MaxRoiPool.html#maxroipool-22">MaxRoiPool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__MaxUnpool.html#maxunpool-22">MaxUnpool</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Mish.html#mish-22">Mish</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Multinomial.html#multinomial-22">Multinomial</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__NegativeLogLikelihoodLoss.html#negativeloglikelihoodloss-22">NegativeLogLikelihoodLoss</a>,
<a href="https://onnx.ai/onnx/operators/onnx__RNN.html#rnn-22">RNN</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__RandomNormal.html#randomnormal-22">RandomNormal</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__RandomNormalLike.html#randomnormallike-22">RandomNormalLike</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__RandomUniform.html#randomuniform-22">RandomUniform</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__RandomUniformLike.html#randomuniformlike-22">RandomUniformLike</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__RoiAlign.html#roialign-22">RoiAlign</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Round.html#round-22">Round</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Selu.html#selu-22">Selu</a>,
<a href="https://onnx.ai/onnx/operators/onnx__Sin.html#sin-22">Sin</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Sinh.html#sinh-22">Sinh</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Softplus.html#softplus-22">Softplus</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__Softsign.html#softsign-22">Softsign</a>,
<a href="https://onnx.ai/onnx/operators/onnx__Tan.html#tan-22">Tan</a>,
<a
href="https://onnx.ai/onnx/operators/onnx__ThresholdedRelu.html#thresholdedrelu-22">ThresholdedRelu</a></li>
</ul>
</li>
</ul>
<h2>Python Changes</h2>
<ul>
<li>Support for numpy &gt;= 2.0</li>
</ul>
<h1>Bug fixes and infrastructure improvements</h1>
<ul>
<li>Fix Check URLs errors <a
href="https://redirect.github.com/onnx/onnx/pull/5972">5972</a></li>
<li>Use CMAKE_PREFIX_PATH in finding libprotobuf <a
href="https://redirect.github.com/onnx/onnx/pull/5975">5975</a></li>
<li>Bump main VERSION_NUMBER to 1.17.0 <a
href="https://redirect.github.com/onnx/onnx/pull/5968">5968</a></li>
<li>Fix source and pip tar.gz builds on s390x systems <a
href="https://redirect.github.com/onnx/onnx/pull/5984">5984</a></li>
<li>Fix unique_name <a
href="https://redirect.github.com/onnx/onnx/pull/5992">5992</a></li>
<li>Fix SegFault bug in shape inference <a
href="https://redirect.github.com/onnx/onnx/pull/5990">5990</a></li>
<li>Fix onnx.compose when connecting subgraphs <a
href="https://redirect.github.com/onnx/onnx/pull/5991">5991</a></li>
<li>Fix conversion from split 11 to split 18 <a
href="https://redirect.github.com/onnx/onnx/pull/6020">6020</a></li>
<li>Update error messages for NegativeLogLikelihoodLoss inference
function <a
href="https://redirect.github.com/onnx/onnx/pull/6021">6021</a></li>
<li>Generalize input/output number check in shape inference <a
href="https://redirect.github.com/onnx/onnx/pull/6005">6005</a></li>
<li>Replace rank inference with shape inference for Einsum op <a
href="https://redirect.github.com/onnx/onnx/pull/6010">6010</a></li>
<li>build from source instruction with latest cmake change <a
href="https://redirect.github.com/onnx/onnx/pull/6038">6038</a></li>
<li>Handle OneHot's depth value during shape inference <a
href="https://redirect.github.com/onnx/onnx/pull/5963">5963</a></li>
<li>Not to install cmake in pyproject.toml on Windows <a
href="https://redirect.github.com/onnx/onnx/pull/6045">6045</a></li>
<li>fix a skipped shape infer code <a
href="https://redirect.github.com/onnx/onnx/pull/6049">6049</a></li>
<li>Include the &quot;.onnxtext&quot; extension in supported
serialization format <a
href="https://redirect.github.com/onnx/onnx/pull/6051">6051</a></li>
<li>Allow ReferenceEvaluator to return intermediate results <a
href="https://redirect.github.com/onnx/onnx/pull/6066">6066</a></li>
<li>Fix 1 typo in numpy_helper.py <a
href="https://redirect.github.com/onnx/onnx/pull/6041">6041</a></li>
<li>Remove benchmarking code <a
href="https://redirect.github.com/onnx/onnx/pull/6076">6076</a></li>
<li>Prevent crash on import after GCC 8 builds <a
href="https://redirect.github.com/onnx/onnx/pull/6048">6048</a></li>
<li>Check graph outputs are defined <a
href="https://redirect.github.com/onnx/onnx/pull/6083">6083</a></li>
<li>Enable additional ruff rules <a
href="https://redirect.github.com/onnx/onnx/pull/6032">6032</a></li>
<li>Add missing shape inference check for DequantizeLinear <a
href="https://redirect.github.com/onnx/onnx/pull/6080">6080</a></li>
<li>Add bfloat16 to all relevant ops <a
href="https://redirect.github.com/onnx/onnx/pull/6099">6099</a></li>
<li>fix(ci): install python dependencies with --only-binary :all: in
manylinux <a
href="https://redirect.github.com/onnx/onnx/pull/6120">6120</a></li>
<li>fix: install google-re2 with --only-binary option <a
href="https://redirect.github.com/onnx/onnx/pull/6129">6129</a></li>
<li>Specify axis parameter for DequantizeLinear when input rank is 1 <a
href="https://redirect.github.com/onnx/onnx/pull/6095">6095</a></li>
<li>Pin onnxruntime to 1.17.3 for release CIs <a
href="https://redirect.github.com/onnx/onnx/pull/6143">6143</a></li>
<li>Fix INT4 TensorProto byte size is 5x larger than expected with
negative values <a
href="https://redirect.github.com/onnx/onnx/pull/6161">6161</a></li>
<li>Mitigate tarball directory traversal risks <a
href="https://redirect.github.com/onnx/onnx/pull/6164">6164</a></li>
<li>Fix reference implementation for ScatterND with 4D tensors <a
href="https://redirect.github.com/onnx/onnx/pull/6174">6174</a></li>
<li>Addition of group &gt; 1 in test and in backend for ConvTranspose <a
href="https://redirect.github.com/onnx/onnx/pull/6175">6175</a></li>
<li>Support for bfloat16 for binary, unary operators in reference
implementation <a
href="https://redirect.github.com/onnx/onnx/pull/6166">6166</a></li>
<li>Refactor windows workflow to work on standard windows <a
href="https://redirect.github.com/onnx/onnx/pull/6190">6190</a></li>
<li>Fix a few crashes while running shape inference <a
href="https://redirect.github.com/onnx/onnx/pull/6195">6195</a></li>
<li>Update onnx to work with numpy&gt;=2.0 <a
href="https://redirect.github.com/onnx/onnx/pull/6196">6196</a></li>
<li>Use sets to improve performance of dfs search <a
href="https://redirect.github.com/onnx/onnx/pull/6213">6213</a></li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/onnx/onnx/commit/b8baa8446686496da4cc8fda09f2b6fe65c2a02c"><code>b8baa84</code></a>
Set version 1.17.0 for official release (<a
href="https://redirect.github.com/onnx/onnx/issues/6405">#6405</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/6d77b808217f442170d105131836aa4820c0f43f"><code>6d77b80</code></a>
[Cherry-Pick] Fix main url checks (<a
href="https://redirect.github.com/onnx/onnx/issues/6312">#6312</a>) (<a
href="https://redirect.github.com/onnx/onnx/issues/6327">#6327</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/174938d8b7d48f27b5c491626c6a474f5f5b829a"><code>174938d</code></a>
[Cherry-Pick] Fix protobuf pkg 5.28.0 failing on Windows (<a
href="https://redirect.github.com/onnx/onnx/issues/6342">#6342</a>) (<a
href="https://redirect.github.com/onnx/onnx/issues/6347">#6347</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/f18d5931adc7b44ae5a2afd74e21ed51bcf2bc63"><code>f18d593</code></a>
[Cherry-Pick] Remove unused variables (<a
href="https://redirect.github.com/onnx/onnx/issues/6303">#6303</a>) (<a
href="https://redirect.github.com/onnx/onnx/issues/6324">#6324</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/c58890537f466b9b294f6dd038dd826f9907e03d"><code>c588905</code></a>
Set version in rel-1.17.0 to 1.17.0rc1 (<a
href="https://redirect.github.com/onnx/onnx/issues/6317">#6317</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/4392c2c9ae30cd10d199bd31fc7b272a6f842824"><code>4392c2c</code></a>
Prepare for rel-1.17.0 (<a
href="https://redirect.github.com/onnx/onnx/issues/6281">#6281</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/cb54169e4f2b52861cf5ec546d244ea4b2d09964"><code>cb54169</code></a>
Update ort filter to 1.20.0 to skip tests known to fail with ort 1.19.0
(<a
href="https://redirect.github.com/onnx/onnx/issues/6306">#6306</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/99e1fd352c05c3176770080824fd7a8c474c97c0"><code>99e1fd3</code></a>
Bump reviewdog/action-misspell from 1.21.0 to 1.23.0 (<a
href="https://redirect.github.com/onnx/onnx/issues/6268">#6268</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/19205655059e1654ba2d44478bc3a1c75af7830f"><code>1920565</code></a>
Bump ossf/scorecard-action from 2.3.3 to 2.4.0 (<a
href="https://redirect.github.com/onnx/onnx/issues/6273">#6273</a>)</li>
<li><a
href="https://github.com/onnx/onnx/commit/2e8f2289b91d5670e1c661ab9119178b24197219"><code>2e8f228</code></a>
Bump mypy from 1.10.1 to 1.11.1 (<a
href="https://redirect.github.com/onnx/onnx/issues/6275">#6275</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/onnx/onnx/compare/v1.16.2...v1.17.0">compare
view</a></li>
</ul>
</details>
<br />


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