OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
Krzysztof Bruniecki feb7814a96
[GNA] Fix pooling output backward compatibility (#7889) (#7966)
* [GNA] Fix pooling output backward compatibility

* Apply review
2021-10-19 11:43:59 +03:00
.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 Fixed byteSize for Blob / ov::Tensor (#7989) 2021-10-19 02:01:10 +03:00
docs Forbid typed data access and roi tensor creation for little bit types (#8007) 2021-10-19 04:53:33 +03:00
inference-engine [GNA] Fix pooling output backward compatibility (#7889) (#7966) 2021-10-19 11:43:59 +03:00
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 [ONNX] remove unnecessary nodes when handling Identity op (#8060) 2021-10-19 10:18:13 +02:00
openvino Added OpenVINO runtime macro (#7586) 2021-09-23 10:39:20 +03:00
runtime Fixed byteSize for Blob / ov::Tensor (#7989) 2021-10-19 02:01:10 +03:00
samples [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
scripts [PYTHON API] Expose ngraph bindings as part of openvino API (#8027) 2021-10-18 21:36:48 +02:00
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.