Bump onnx from 1.16.0 to 1.17.0 in /onnxruntime/python/tools/transfor…

…mers/models/stable_diffusion/requirements (#22561)

Bumps [onnx](https://github.com/onnx/onnx) from 1.16.0 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/v1.16.0...v1.17.0">compare
view</a></li>
</ul>
</details>
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onnxruntime/python/tools/transformers/models/stable_diffusion/requirements/requirements.txt

@@ -3,7 +3,7 @@ diffusers==0.28.0
 transformers==4.41.2
 numpy>=1.24.1
 accelerate
-onnx==1.16.0
+onnx==1.17.0
 coloredlogs
 packaging
 # Use newer version of protobuf might cause crash