ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Set pythonInterpreter in set-python-manylinux-variables-step.yml (#19105)
### Description
Set pythonInterpreter in set-python-manylinux-variables-step.yml. To fix
a build error:

```
Starting: Set Python manylinux variables
==============================================================================
Task         : Python script
Description  : Run a Python file or inline script
Version      : 0.231.1
Author       : Microsoft Corporation
Help         : https://docs.microsoft.com/azure/devops/pipelines/tasks/utility/python-script
==============================================================================
##[error]Parameter 'toolPath' cannot be null or empty.
Finishing: Set Python manylinux variables
```
The error was because today I deleted a bunch of software from the VM
image. The task might fail if no Python versions are found in
$(Agent.ToolsDirectory).
2024-01-12 07:22:02 -08:00
.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 Disable rust pipeline for now (#19067) 2024-01-09 17:09:31 -08:00
.pipelines Remove Windows ARM32 from nuget packaging pipelines (#19049) 2024-01-09 07:45:03 -08:00
.vscode update .vscode/settings.json (#19084) 2024-01-10 19:26:01 -08:00
cgmanifests Update absl and googletest (#18827) 2023-12-14 16:15:07 -08:00
cmake [ROCm] Fix hipify error: fast_divmod.h: No such file or directory (#19060) 2024-01-10 14:49:19 +08:00
csharp Update c# dependencies (#18995) 2024-01-04 10:41:28 -08:00
dockerfiles Update dockerfiles/Dockerfile.source to avoid installing onnx (#17975) 2023-10-20 09:24:21 -07:00
docs [TensorRT EP] Load precompiled TRT engine file directly (#18217) 2024-01-11 22:20:54 -08:00
include/onnxruntime/core [TensorRT EP] Load precompiled TRT engine file directly (#18217) 2024-01-11 22:20:54 -08:00
java [java] Make the backing byte buffer in an OrtValue accessible (#16578) 2023-10-17 10:03:49 -07:00
js [js/webgpu] Change A/sqrt(B) to A*inverseSqrt(B) in normalization ops (#19101) 2024-01-12 00:08:16 -08:00
objectivec Objective-C API updates (#18738) 2023-12-07 16:47:46 -08:00
onnxruntime Remove the references to CreateFileMapping2 (#19102) 2024-01-12 07:21:12 -08:00
orttraining Offline tooling for training to use reduction with keepdims=False (#19027) 2024-01-11 10:51:23 -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 Set pythonInterpreter in set-python-manylinux-variables-step.yml (#19105) 2024-01-12 07:22:02 -08:00
winml Update winml to use #cores - #soc cores by Default as the number of intraopthreads (#18384) 2023-11-28 09:26:48 -08:00
.clang-format Prevent GSL_SUPPRESS arguments from being modified by clang-format (#17242) 2023-08-22 18:26:53 -07:00
.clang-tidy Create clang-tidy CI (#12653) 2022-09-30 08:05:38 -07:00
.dockerignore
.gitattributes
.gitignore Build onnxruntime.dll as arm64x (#18633) 2023-12-06 16:49:00 -08:00
.gitmodules Remove onnxruntime extensions from list of gitmodules (#17615) 2023-09-19 17:12:14 -07:00
.lintrunner.toml FP16 optimizer automatically detect DeepSpeed compatibility (#18084) 2023-10-25 15:11:02 +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 Build onnxruntime.dll as arm64x (#18633) 2023-12-06 16:49:00 -08:00
CITATION.cff Fix CITATION.cff and add automatic validation of your citation metadata (#10478) 2022-04-13 10:03:52 -07:00
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
LICENSE
NuGet.config
ort.wprp ORT ETW dynamic logging that improves ORT diagnosability & performance (#18882) 2024-01-11 12:43:27 -08:00
ORT_icon_for_light_bg.png
packages.config Update DML version to 1.13.0 (#18978) 2024-01-03 16:09:55 -08:00
pyproject.toml [ORTModule] ATen Efficient Attention and Triton Flash Attention (#17959) 2023-10-27 10:29:27 +08:00
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 linter versions (#18341) 2023-11-08 13:04:40 -08:00
requirements-training.txt ONNX 1.15 integration (#17125) 2023-09-26 14:44:48 -07:00
requirements.txt.in Add additional python requirements (#11522) 2022-05-20 16:16:18 -07:00
SECURITY.md Microsoft mandatory file (#11619) 2022-05-25 13:56:10 -07:00
setup.py Adding python3.12 support to ORT (#18814) 2024-01-11 08:34:28 -08:00
ThirdPartyNotices.txt Flash Attention v2 MHA (#17227) 2023-08-31 13:52:21 -07:00
VERSION_NUMBER Bump Up Version to 1.17.0 (#17587) 2023-09-20 11:02:58 +08:00

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
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Third-party Pipeline Status

System Inference Training
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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.