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] 4f2d454211 Bump Sixlabors.ImageSharp from 2.1.1 to 2.1.7 in /csharp/sample/Microsoft.ML.OnnxRuntime.FasterRcnnSample (#19806 ) Bumps [Sixlabors.ImageSharp](https://github.com/SixLabors/ImageSharp) from 2.1.1 to 2.1.7. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/SixLabors/ImageSharp/releases">Sixlabors.ImageSharp's releases</a>.</em></p> <blockquote> <h2>v2.1.7</h2> <h2>What's Changed</h2> <ul> <li>[release/2.1] Disallow allocation attempts of unrepresentable sizes by <a href="https://github.com/antonfirsov"><code>@antonfirsov</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2553">SixLabors/ImageSharp#2553</a></li> <li>[release/2.1] Tiff decoding robustness improvements (<a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2550">#2550</a>) by <a href="https://github.com/antonfirsov"><code>@antonfirsov</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2554">SixLabors/ImageSharp#2554</a></li> <li>[release/2.1] PBM decoder robustness improvements and BufferedReadStream observability by <a href="https://github.com/antonfirsov"><code>@antonfirsov</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2555">SixLabors/ImageSharp#2555</a></li> <li>Backport 2681 by <a href="https://github.com/JimBobSquarePants"><code>@JimBobSquarePants</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2688">SixLabors/ImageSharp#2688</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.6...v2.1.7">https://github.com/SixLabors/ImageSharp/compare/v2.1.6...v2.1.7</a></p> <h2>v2.1.6</h2> <h2>What's Changed</h2> <ul> <li>Backport - Handle EOF in Jpeg bit reader when data is bad to prevent DOS attack. by <a href="https://github.com/JimBobSquarePants"><code>@JimBobSquarePants</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2524">SixLabors/ImageSharp#2524</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.5...v2.1.6">https://github.com/SixLabors/ImageSharp/compare/v2.1.5...v2.1.6</a></p> <h2>v2.1.5</h2> <h2>What's Changed</h2> <ul> <li>Backport <a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2501">#2501</a> by <a href="https://github.com/JimBobSquarePants"><code>@JimBobSquarePants</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2509">SixLabors/ImageSharp#2509</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.4...v2.1.5">https://github.com/SixLabors/ImageSharp/compare/v2.1.4...v2.1.5</a></p> <h2>v2.1.4</h2> <h2>What's Changed</h2> <ul> <li>Backport WebP fix to 2.1 by <a href="https://github.com/antonfirsov"><code>@antonfirsov</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2420">SixLabors/ImageSharp#2420</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.3...v2.1.4">https://github.com/SixLabors/ImageSharp/compare/v2.1.3...v2.1.4</a></p> <h2>v2.1.3</h2> <h2>What's Changed</h2> <ul> <li>V2 Backport: 2133, 2154 by <a href="https://github.com/JimBobSquarePants"><code>@JimBobSquarePants</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2157">SixLabors/ImageSharp#2157</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.2...v2.1.3">https://github.com/SixLabors/ImageSharp/compare/v2.1.2...v2.1.3</a></p> <h2>v2.1.2</h2> <h2>What's Changed</h2> <ul> <li>Backport - Issue 2123 by <a href="https://github.com/JimBobSquarePants"><code>@JimBobSquarePants</code></a> in <a href="https://redirect.github.com/SixLabors/ImageSharp/pull/2126">SixLabors/ImageSharp#2126</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.1...v2.1.2">https://github.com/SixLabors/ImageSharp/compare/v2.1.1...v2.1.2</a></p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="`fa7d712702`"><code>fa7d712</code></a> Merge pull request <a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2688">#2688</a> from SixLabors/js/backport-2681</li> <li><a href="`36b3533cc3`"><code>36b3533</code></a> Use correct property to disable upstream warnings.</li> <li><a href="`94bb7615a1`"><code>94bb761</code></a> Update ImageSharp.csproj</li> <li><a href="`3ea2574726`"><code>3ea2574</code></a> Update PngDecoderCore.cs</li> <li><a href="`e74a55fbfd`"><code>e74a55f</code></a> [release/2.1] PBM decoder robustness improvements and BufferedReadStream obse...</li> <li><a href="`749b1c04d7`"><code>749b1c0</code></a> [release/2.1] Tiff decoding robustness improvements (<a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2550">#2550</a>) (<a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2554">#2554</a>)</li> <li><a href="`3064b78927`"><code>3064b78</code></a> Merge pull request <a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2553">#2553</a> from SixLabors/backport/2.1.x/2545</li> <li><a href="`f36ec12695`"><code>f36ec12</code></a> Disallow allocation attempts of unrepresentable sizes </li> <li><a href="`688e242a84`"><code>688e242</code></a> Merge pull request <a href="https://redirect.github.com/SixLabors/ImageSharp/issues/2524">#2524</a> from SixLabors/js/backport-fix-jpeg-dos</li> <li><a href="`0f17a8be9c`"><code>0f17a8b</code></a> Handle EOF in Jpeg bit reader when data is bad to prevent DOS attack.</li> <li>Additional commits viewable in <a href="https://github.com/SixLabors/ImageSharp/compare/v2.1.1...v2.1.7">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=Sixlabors.ImageSharp&package-manager=nuget&previous-version=2.1.1&new-version=2.1.7)](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	Update tsaoptions.json: update the email alias (#13448 )	2022-10-26 15:56:16 -07:00
.devcontainer	Remove two lines in the Dockerfile for Github Codespace (#12278 )	2022-07-21 20:52:17 -07:00
.gdn	Update win-ci-pipeline.yml: enable xnnpack tests (#16244 )	2023-06-14 19:12:42 -07:00
.github	Fix training and macos ci pipelines (#20034 )	2024-03-26 12:20:11 -07:00
.pipelines	Upgrade the Windows SDK version that is used in WindowsAI Nuget Packaging pipeline (#19786 )	2024-03-06 09:10:35 -08:00
.vscode	disable gemm f16 on CPU (#19744 )	2024-03-01 13:44:29 -08:00
cgmanifests	Enable generic feature level devices in DML EP (#20114 )	2024-03-29 14:37:30 -07:00
cmake	Fix build errors from date/date.h C++20 compatibility (#20139 )	2024-04-02 22:10:25 -07:00
csharp	Bump Sixlabors.ImageSharp from 2.1.1 to 2.1.7 in /csharp/sample/Microsoft.ML.OnnxRuntime.FasterRcnnSample (#19806 )	2024-04-05 08:32:18 -07:00
dockerfiles	Ort openvino npu 1.17 master (#19966 )	2024-03-21 18:44:00 -07:00
docs	add QMoE (#20108 )	2024-03-29 10:24:19 -07:00
include/onnxruntime/core	Fix build errors from date/date.h C++20 compatibility (#20139 )	2024-04-02 22:10:25 -07:00
java	[java][DML EP] Modifying dml_provider_factory.h so it can compile as a C header file (#20157 )	2024-04-01 21:58:50 -07:00
js	[js/rn] Support load external data (#20090 )	2024-04-05 05:55:03 -07:00
objectivec	[objc] Add check for ORTValue being a tensor in ORTValue methods that should only be used with tensors. (#19946 )	2024-03-18 08:54:24 -07:00
onnxruntime	Add onnxruntime/test/run_benchmark.py helper script. (#19234 )	2024-04-05 07:02:01 -07:00
orttraining	Fix transformer layer detection for recompute (#20106 )	2024-03-29 17:44:38 +08:00
rust	Fix rust compile issues and add GH action to run build validations and tests (#18346 )	2023-11-09 04:26:02 -08:00
samples	Removed all the deprecated python training code and related tests and utils (#18333 )	2023-11-17 18:19:21 -08:00
tools	OneDNN/dnnl: Fix filepath after dnnl move (#20086 )	2024-04-04 21:24:49 -07:00
winml	#19921 [Dup] LLC Core count calculations updated (#20171 )	2024-04-02 16:53:47 -07:00
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.clang-tidy	Create clang-tidy CI (#12653 )	2022-09-30 08:05:38 -07:00
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.gitignore	Build onnxruntime.dll as arm64x (#18633 )	2023-12-06 16:49:00 -08:00
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.lintrunner.toml	Adding cuda kernel (optimized for sm80) for block-wise 4b quantized float 16 GEMM. (#18619 )	2024-03-05 09:37:45 -08:00
build.bat	try to find patch.exe in git default installation folder (#17106 )	2023-08-10 21:48:13 -07:00
build.sh	Upgrade old Python version in packaging pipeline (#16667 )	2023-07-17 08:24:47 -07:00
build_arm64x.bat	remove unnecessary environment variable (#19166 )	2024-01-16 16:24:37 -08:00
CITATION.cff	Fix citation author name issue (#19597 )	2024-02-22 17:03:56 -08:00
CODEOWNERS	Add owners for public facing API files (#15288 )	2023-03-30 17:16:15 -07:00
CONTRIBUTING.md	Fix link to High Level Design (#11786 )	2023-02-28 11:05:54 -08:00
lgtm.yml	Fix lgtm C++ error (#13613 )	2022-11-10 10:06:22 -08:00
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ort.wprp	ORT ETW dynamic logging that improves ORT diagnosability & performance (#18882 )	2024-01-11 12:43:27 -08:00
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packages.config	Update DirectML nuget version to 1.13.1 (#19122 )	2024-01-15 19:04:41 -08:00
pyproject.toml	Bump ruff to 0.3.2 and black to 24 (#19878 )	2024-03-13 10:00:32 -07:00
README.md	Update README.md (#18963 )	2024-01-03 17:26:25 -08:00
requirements-dev.txt	ONNX 1.15 integration (#17125 )	2023-09-26 14:44:48 -07:00
requirements-doc.txt
requirements-lintrunner.txt	Bump ruff to 0.3.2 and black to 24 (#19878 )	2024-03-13 10:00:32 -07:00
requirements-training.txt	ONNX 1.15 integration (#17125 )	2023-09-26 14:44:48 -07:00
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SECURITY.md	Microsoft mandatory file (#11619 )	2022-05-25 13:56:10 -07:00
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ThirdPartyNotices.txt	Update ThirdPartyNotices.txt: Add Intel neural-speed (#19332 )	2024-01-30 12:40:30 -08:00
VERSION_NUMBER	[ORT 1.17.0 release] Bump up version to 1.18.0 (#19170 )	2024-01-17 11:18:32 -08:00

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

Third-party Pipeline Status

System	Inference	Training
Linux

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.