saymrwulf/onnxruntime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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dependabot[bot] 4850bcd896 Bump onnx from 1.16.1 to 1.17.0 in /onnxruntime/python/tools/transformers/models/whisper (#22641 ) Bumps [onnx](https://github.com/onnx/onnx) from 1.16.1 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 >= 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 ".onnxtext" 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 > 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>=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="`b8baa84466`"><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="`6d77b80821`"><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="`174938d8b7`"><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="`f18d5931ad`"><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="`c58890537f`"><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="`4392c2c9ae`"><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="`cb54169e4f`"><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="`99e1fd352c`"><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="`1920565505`"><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="`2e8f2289b9`"><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/v1.16.1...v1.17.0">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=onnx&package-manager=pip&previous-version=1.16.1&new-version=1.17.0)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. 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.config	Add an 1ES PT baseline file (#22587 )	2024-10-25 09:18:30 -07:00
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cmake	[ROCm] Python 3.10 in ROCm CI, and ROCm 6.2.3 in MigraphX CI (#22527 )	2024-10-25 11:47:16 -07:00
csharp	bumps up version in main from 1.20 -> 1.21 (#22482 )	2024-10-17 12:32:35 -07:00
dockerfiles	[ROCm] Python 3.10 in ROCm CI, and ROCm 6.2.3 in MigraphX CI (#22527 )	2024-10-25 11:47:16 -07:00
docs	DML EP Register Opset 21 (#22547 )	2024-10-25 09:21:19 -07:00
include/onnxruntime/core	Enable Ort objects to be stored in a resizable std::vector (#22608 )	2024-10-29 09:59:59 -07:00
java	[CoreML ML Program] support acclerators selector (#22383 )	2024-10-15 11:50:11 +08:00
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objectivec	[CoreML ML Program] support acclerators selector (#22383 )	2024-10-15 11:50:11 +08:00
onnxruntime	Bump onnx from 1.16.1 to 1.17.0 in /onnxruntime/python/tools/transformers/models/whisper (#22641 )	2024-10-29 15:17:44 -07:00
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samples	Removed all the deprecated python training code and related tests and utils (#18333 )	2023-11-17 18:19:21 -08:00
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packages.config	[DML EP] Update DML to 1.15.2 (#22247 )	2024-09-27 13:20:29 -07:00
pyproject.toml	Ignore ruff rule `N813` (#21477 )	2024-07-24 17:48:22 -07:00
README.md	Update README.md with release roadmap info (#22486 )	2024-10-18 11:00:43 -07:00
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requirements-lintrunner.txt	Update lintrunner requirements (#22185 )	2024-09-23 18:27:16 -07:00
requirements-training.txt	ONNX 1.15 integration (#17125 )	2023-09-26 14:44:48 -07:00
requirements.txt	Add compatibility for NumPy 2.0 (#21085 )	2024-06-27 13:50:53 -07:00
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ThirdPartyNotices.txt	Remove nsync (#20413 )	2024-10-21 15:32:14 -07:00
VERSION_NUMBER	bumps up version in main from 1.20 -> 1.21 (#22482 )	2024-10-17 12:32:35 -07:00

README.md

ONNX Runtime is a cross-platform inference and training machine-learning accelerator.

ONNX Runtime inference can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms. Learn more →

ONNX Runtime training can accelerate the model training time on multi-node NVIDIA GPUs for transformer models with a one-line addition for existing PyTorch training scripts. Learn more →

Get Started & Resources

General Information: onnxruntime.ai
Usage documentation and tutorials: onnxruntime.ai/docs
YouTube video tutorials: youtube.com/@ONNXRuntime
Upcoming Release Roadmap
Companion sample repositories:
- ONNX Runtime Inferencing: microsoft/onnxruntime-inference-examples
- ONNX Runtime Training: microsoft/onnxruntime-training-examples

Builtin Pipeline Status

System	Inference	Training
Windows
Linux
Mac
Android
iOS
Web
Other

This project is tested with BrowserStack.

Third-party Pipeline Status

System	Inference	Training
Linux

Releases

The current release and past releases can be found here: https://github.com/microsoft/onnxruntime/releases.

For details on the upcoming release, including release dates, announcements, features, and guidance on submitting feature requests, please visit the release roadmap: https://onnxruntime.ai/roadmap.

Data/Telemetry

Windows distributions of this project may collect usage data and send it to Microsoft to help improve our products and services. See the privacy statement for more details.

Contributions and Feedback

We welcome contributions! Please see the contribution guidelines.

For feature requests or bug reports, please file a GitHub Issue.

For general discussion or questions, please use GitHub Discussions.

Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

License

This project is licensed under the MIT License.