ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Changming Sun 24a3c740c0
Revert "[ROCm][MIGraphX] for googletest dep, set OVERRIDE_FIND_PACKAGE (#16715)" (#17523)
This reverts commit bb136f86c8, then
re-implement it in a different way.
I reverted the original change, then added a version constraint to the
find_package args.

If you still found it picks up wrong gtest version after this change,
you may disable `find_package` by setting
'FETCHCONTENT_TRY_FIND_PACKAGE_MODE' to NEVER. For example, the latest
gtest version is 1.14.0. If at a later time Google releases a new
version of gtest and that one is incompatible with the ONNX Runtime
source code you get today and your dev environment already installed the
new version and you do not want to create a new clean build environment
that is without the package, you can add `--cmake_extra_defines
FETCHCONTENT_TRY_FIND_PACKAGE_MODE=NEVER` to your build command to solve
the problem.
2023-09-12 22:39:31 -07:00
.config
.devcontainer
.gdn Update win-ci-pipeline.yml: enable xnnpack tests (#16244) 2023-06-14 19:12:42 -07:00
.github Upgrade doxygen to 1.9.8 (#17525) 2023-09-12 20:44:27 -07:00
.pipelines Bump DirectML version from 1.12.0 to 1.12.1 (#17225) 2023-08-20 09:55:38 -07:00
.vscode Broadcasting for SLN for CPU and CUDA (#16510) 2023-08-07 09:55:42 -07:00
cgmanifests Update C/C++ dependencies: abseil, date, nsync, googletest, wil, mp11, cpuinfo and safeint (#15470) 2023-09-08 13:35:04 -07:00
cmake Revert "[ROCm][MIGraphX] for googletest dep, set OVERRIDE_FIND_PACKAGE (#16715)" (#17523) 2023-09-12 22:39:31 -07:00
csharp Build nuget pkg for ROCm (#16791) 2023-08-28 13:35:08 +08:00
dockerfiles Update cmake to 3.27 and upgrade Linux CUDA docker files from CentOS7 to UBI8 (#16856) 2023-09-05 18:12:10 -07:00
docs Upgrade doxygen to 1.9.8 (#17525) 2023-09-12 20:44:27 -07:00
include/onnxruntime/core OrtMemoryInfo: support new name "WebGPU_Buffer" (#17469) 2023-09-08 16:37:35 -07:00
java [java] Relaxing CoreML test (#16777) 2023-08-09 11:43:05 -07:00
js [js/web] release session after use in npm test (#17470) 2023-09-12 16:59:13 -07:00
objectivec Objective-C Add Support to Create and Query String ORTValues (#16764) 2023-07-20 17:39:29 -07:00
onnxruntime Improve performance of prune_graph in onnx_model.py (#17502) 2023-09-12 11:38:36 -07:00
orttraining Update C/C++ dependencies: abseil, date, nsync, googletest, wil, mp11, cpuinfo and safeint (#15470) 2023-09-08 13:35:04 -07:00
rust rust bindings: Do not unnecessarily re-run build.rs (#17018) 2023-09-05 19:42:06 -07:00
samples
swift/OnnxRuntimeBindingsTests
tools update acpt image for the training ci nightly (#17521) 2023-09-12 22:32:20 -07:00
winml Update C/C++ dependencies: abseil, date, nsync, googletest, wil, mp11, cpuinfo and safeint (#15470) 2023-09-08 13:35:04 -07:00
.clang-format Prevent GSL_SUPPRESS arguments from being modified by clang-format (#17242) 2023-08-22 18:26:53 -07:00
.clang-tidy
.dockerignore
.gitattributes
.gitignore remove 'lib/' from .gitignore (#15613) 2023-04-24 18:43:32 -07:00
.gitmodules [wasm] upgrade emsdk to 3.1.44 (#17069) 2023-08-10 16:08:36 -07:00
.lintrunner.toml Format c++ code under winml/ (#16660) 2023-07-25 21:56:50 -07:00
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
CITATION.cff
CODEOWNERS
CONTRIBUTING.md
lgtm.yml
LICENSE
NuGet.config
ort.wprp
ORT_icon_for_light_bg.png
Package.swift Objective-C Add Support to Create and Query String ORTValues (#16764) 2023-07-20 17:39:29 -07:00
packages.config Bump DirectML version from 1.12.0 to 1.12.1 (#17225) 2023-08-20 09:55:38 -07:00
pyproject.toml Updating QDQ to support Float8E4M3FN (#16550) 2023-08-08 12:18:48 +02:00
README.md add third-party pipeline status to README.md (#16155) 2023-05-31 22:14:39 -07:00
requirements-dev.txt
requirements-doc.txt
requirements-lintrunner.txt Bump clang-format to 16.0.6 in CI (#17099) 2023-08-10 13:53:04 -07:00
requirements-training.txt
requirements.txt.in
SECURITY.md
setup.py Avoid calling patchelf (#17365) 2023-09-08 12:25:16 -07:00
ThirdPartyNotices.txt Flash Attention v2 MHA (#17227) 2023-08-31 13:52:21 -07:00
VERSION_NUMBER Update VERSION_NUMBER (#15773) 2023-05-03 15:07:34 -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
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Third-party Pipeline Status

System Inference Training
Linux Build Status

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.