ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Changming Sun 82aa355904
Update android_min_sdk_version/android_target_sdk_version (#23369)
Update android_min_sdk_version to 24 and android_target_sdk_version to
34.
Previously Jian already updated the values for some pipelines. This PR
updates the other occurrences to make things consistent

Why android_min_sdk_version is set to 24:
Because React Native requires so:

https://github.com/react-native-community/discussions-and-proposals/discussions/802

Why android_target_sdk_version is set to 34:
Because according to Google Play's policy, new apps and app updates must
target Android 14 (API level 34) to be submitted to Google Play.

https://support.google.com/googleplay/android-developer/answer/11926878?hl=en
2025-01-16 08:03:31 -08:00
.config Auto-generated baselines by 1ES Pipeline Templates (#22817) 2024-11-13 13:50:52 -08:00
.devcontainer
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.github Update MACOSX_DEPLOYMENT_TARGET (#23308) 2025-01-10 14:25:32 -08:00
.pipelines [DML EP] Update DML to 1.15.4 (#22635) 2024-10-29 17:13:57 -07:00
.vscode Stop VSCode appending file associations to settings.json (#21944) 2024-08-31 19:04:12 -07:00
cgmanifests Update xnnpack, cpuinfo and pthreadpool (#23362) 2025-01-15 09:42:15 -08:00
cmake [MigraphX EP] [ROCm EP] Upstream ROCm changes for bugfixes and features (#23249) 2025-01-15 12:57:04 -08:00
csharp [CoreML] Create EP by AppendExecutionProvider (#22675) 2024-11-27 09:26:31 +08:00
dockerfiles Update range of gpu arch (#23309) 2025-01-14 14:27:34 -08:00
docs Implement DepthToSpace uint8_t and Enable DropQDQNodesRules (#23352) 2025-01-15 19:24:50 -08:00
include/onnxruntime/core Add QNN EP HTP shared memory allocator (#23136) 2025-01-14 11:09:50 -08:00
java Revert DML pipeline changes (#23135) 2024-12-18 10:42:10 -08:00
js Update android_min_sdk_version/android_target_sdk_version (#23369) 2025-01-16 08:03:31 -08:00
objectivec Use UTF8 string encoding in ORTSaveCodeAndDescriptionToError(). (#22982) 2024-12-02 17:41:52 -08:00
onnxruntime [webgpu] fix Split operator implementation when input is 1D (#23376) 2025-01-15 21:01:05 -08:00
orttraining [MigraphX EP] [ROCm EP] Upstream ROCm changes for bugfixes and features (#23249) 2025-01-15 12:57:04 -08:00
rust
samples
tools Update android_min_sdk_version/android_target_sdk_version (#23369) 2025-01-16 08:03:31 -08:00
winml Bump clang-format from 18.1.8 to 19.1.6 (#23346) 2025-01-14 09:02:04 -08:00
.clang-format
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.gitmodules Revert "Upgrade emsdk from 3.1.59 to 3.1.62" (#21817) 2024-08-22 11:21:00 -07:00
.lintrunner.toml Update python version metadata (remove 3.7, 3.8, 3.9; add 3.13). (#23067) 2024-12-17 10:59:20 -08:00
build.bat
build.sh
build_arm64x.bat
CITATION.cff
CODEOWNERS Update CODEOWNERS: remove onnxruntime-es (#21677) 2024-12-17 13:39:13 -08:00
CONTRIBUTING.md
CPPLINT.cfg Ignore all whitespace lint messages for cpplint (#22781) 2024-11-08 14:31:28 -08:00
lgtm.yml
LICENSE
NuGet.config Update C# test projects (#21631) 2024-09-05 08:21:23 +10:00
ort.wprp
ORT_icon_for_light_bg.png
packages.config [DML EP] Update DML to 1.15.4 (#22635) 2024-10-29 17:13:57 -07:00
pyproject.toml Update python version metadata (remove 3.7, 3.8, 3.9; add 3.13). (#23067) 2024-12-17 10:59:20 -08:00
README.md Update pipeline status (#22924) 2024-11-24 21:26:27 -08:00
requirements-dev.txt Update python version metadata (remove 3.7, 3.8, 3.9; add 3.13). (#23067) 2024-12-17 10:59:20 -08:00
requirements-doc.txt
requirements-lintrunner.txt Bump ruff from 0.5.4 to 0.9.1 (#23328) 2025-01-15 11:11:17 -08:00
requirements-training.txt
requirements.txt
SECURITY.md
setup.py [MigraphX EP] [ROCm EP] Upstream ROCm changes for bugfixes and features (#23249) 2025-01-15 12:57:04 -08:00
ThirdPartyNotices.txt Cleanup code (#22827) 2024-11-19 14:13:33 -08:00
VERSION_NUMBER bumps up version in main from 1.20 -> 1.21 (#22482) 2024-10-17 12:32:35 -07:00

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

Builtin Pipeline Status

System Inference Training
Windows Build Status
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Linux Build Status
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Mac Build Status
Android Build Status
iOS Build Status
Web Build Status
Other Build Status

This project is tested with BrowserStack.

Third-party Pipeline Status

System Inference Training
Linux Build Status

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.