OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
Mingyu Kim ae2913d3b5
Duplicated: OneDNN`s Convolutions and Deconvolutions support (#8029)
* [GPU] Fix incorrect reusage of OneDNN postops configurations

* [GPU] Add OneDNN's convolutions and deconvolutions support

* [GPU] Do not run fusing unittest when imad is not supported

Co-authored-by: Sergey, Shlyapnikov <sergey.shlyapnikov@intel.com>
2021-10-16 17:24:44 +09:00
.ci Fix coverity linux pipeline (#7879) 2021-10-07 22:00:39 +03:00
.github [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
cmake Added remote objects type check (#7606) 2021-10-14 11:32:19 +03:00
docs Fix master branch and resolve conflicted PRS (#8039) 2021-10-15 14:05:39 +03:00
inference-engine Duplicated: OneDNN`s Convolutions and Deconvolutions support (#8029) 2021-10-16 17:24:44 +09:00
licensing [Speech sample] Added numpy array support (#5479) 2021-06-03 12:22:06 +03:00
model-optimizer [MO] fixed dealing with None in then/else branches of Select (#7465) 2021-10-15 18:51:52 +03:00
ngraph Fixed copy-paste in docs (#8046) 2021-10-15 19:53:16 +03:00
openvino Added OpenVINO runtime macro (#7586) 2021-09-23 10:39:20 +03:00
runtime [CPU] Enable back INT32 for MatMul (#7898) 2021-10-15 18:05:23 +03:00
samples [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
scripts Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
tests [Memory tests] Add timeout to proc_exec (#7942) 2021-10-13 14:25:44 +03:00
thirdparty Merge TensorFlow Frontend Implementation (#7855) 2021-10-14 10:36:10 +03:00
tools Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
.gitattributes Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
.gitignore old / new API precisions conversions, old_api_map applying (#7853) 2021-10-07 18:59:24 +03:00
.gitmodules Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
CMakeLists.txt [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
CODEOWNERS CODEOWNERS: Remove openvino-admins from scripts 2021-10-05 09:41:01 +03:00
install_build_dependencies.sh Added reporting of unresolved symbols for plugins (#7810) 2021-10-05 04:26:01 +03:00
Jenkinsfile Beautify Jenkinsfile a little bit 2021-05-31 15:24:56 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md [Docs] Add PyPI downloads badge (#7610) 2021-09-23 09:30:57 +00:00
SECURITY.md Added SECURITY.md back (#3177) 2020-11-17 16:44:44 +03:00

OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch) PyPI Downloads

This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.

This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.

Repository components:

License

Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Resources:

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.