ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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Dmitri Smirnov d1f0251e39
Python bindings fix ups in preparation to Sparse Tensor introduction (#7817)
* Fix up constness in pybindings
  Fix up return argument treatments.
  Specifically, for all functions that return pointers or references
  to the members of other pybind registered classes, we want not to copy
  them, but internally bump up a reference to the hosting class so they do not
  disappear before the reference to the returned members is re-claimed.
  This policy is applied by default to def_property and def_readwrite but not to def_readonly
  and other def methods.
  See https://pybind11-jagerman.readthedocs.io/en/stable/advanced.html#return-value-policies
  https://pybind11.readthedocs.io/en/stable/advanced/functions.html#return-value-policies
  Move OrtValue binding to a separate file
  Move IOBinding into separate file.
2021-05-26 09:47:41 -07:00
.github Don't mark issues that are marked as enhancement as stale (#6134) 2020-12-14 18:57:40 -08:00
cgmanifests add google benchmark as direct dependency (#7762) 2021-05-19 20:12:17 -07:00
cmake Use RTLD_GLOBAL for onnxrutime_providers_shared on unix (#7831) 2021-05-25 19:03:24 -07:00
csharp Some cosmetic changes (#7741) 2021-05-18 00:02:07 -07:00
dockerfiles Install and use conda on ortmodule CI pipelines (#7530) 2021-05-03 15:52:22 -07:00
docs Add supported operators/types documentation for the ORT Mobile package (#7807) 2021-05-26 15:57:40 +10:00
include/onnxruntime/core Fix c_api warning (#7803) 2021-05-22 01:23:39 -07:00
java Ryanunderhill/cuda shared (#7626) 2021-05-20 07:53:47 -07:00
js [JS]support running super resolution model using ortweb (#7677) 2021-05-25 17:43:43 -07:00
objectivec Update Objective-C API (#7675) 2021-05-13 18:47:22 -07:00
onnxruntime Python bindings fix ups in preparation to Sparse Tensor introduction (#7817) 2021-05-26 09:47:41 -07:00
orttraining delete model_copy to save memory allocated in forward call (#7832) 2021-05-25 22:22:13 -07:00
package/rpm bumping up version number to 1.8 (#7733) 2021-05-18 09:03:37 -07:00
samples Introduce ORTModule training API to ONNX Runtime 2021-03-10 10:48:10 -08:00
server Update ORT server build pipeline (#7030) 2021-03-16 18:02:09 -07:00
tools Add supported operators/types documentation for the ORT Mobile package (#7807) 2021-05-26 15:57:40 +10:00
winml Cannot upgrade SDK version because winml_lib_telemetry pulls in SDK cppwinrt version (#7795) 2021-05-24 08:00:24 -07:00
.clang-format
.clang-tidy
.dockerignore Update dockerfiles (#5929) 2020-11-25 15:38:22 -08:00
.flake8 Sync ORTModule branch with master and fix tests (#6526) 2021-02-02 08:59:56 -08:00
.gitattributes
.gitignore Add auto doc gen for ORTModule API during CI build (#7046) 2021-03-22 10:20:33 -07:00
.gitmodules add google benchmark as direct dependency (#7762) 2021-05-19 20:12:17 -07:00
build.amd64.1411.bat
build.bat
build.sh Add iOS test pipeline and a sample app. (#5298) 2020-09-29 13:53:11 -07:00
CODEOWNERS Add myself to CODEOWNERS for ORTModule python code (#7453) 2021-05-07 15:35:45 -07:00
CONTRIBUTING.md Add README for docs (#6626) 2021-03-12 15:14:40 -08:00
LICENSE Remove year from license (#6658) 2021-02-12 00:25:56 -08:00
NuGet.config Sync ORTModule branch with master and fix tests (#6526) 2021-02-02 08:59:56 -08:00
ort.wprp
packages.config Update DirectML version to 1.5.1 and enable ARM/ARM64 builds with DML (#7511) 2021-04-30 00:49:30 -07:00
README.md Fix readme page (#7659) 2021-05-12 14:30:23 -07:00
requirements-dev.txt Sync ORTModule branch with master and fix tests (#6526) 2021-02-02 08:59:56 -08:00
requirements-doc.txt Add auto doc gen for ORTModule API during CI build (#7046) 2021-03-22 10:20:33 -07:00
requirements-training.txt Add missing Python dependencies for ORT training (#7104) 2021-03-23 18:43:19 -07:00
requirements.txt Quantization calibration refactor (#6893) 2021-03-19 01:09:11 -07:00
setup.py fixes for cuda centos/manylinux (#7830) 2021-05-25 19:38:59 -07:00
ThirdPartyNotices.txt ONNX Runtime React Native Library (#7564) 2021-05-11 10:34:40 -07:00
VERSION_NUMBER bumping up version number to 1.8 (#7733) 2021-05-18 09:03:37 -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

http://onnxruntime.ai/

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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.