OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Mikhail Nosov cf328d299f
More fixes of plugins.xml generation (#9942)
* Further fixes of plugins.xml generation
1) Unregistration is done by name (e.g. CPU), not by file name (ov_cpu_plugin)
2) Unregistered line is searched by name="MULTI" instead of just 'MULTI' to not conflict with MULTI_WORK_MODE_AS_AUTO entry
3) Removed list of all possible plugins from ov_runtime as logic shall not rely on this (not possible to add 3rd party plugins)

* Revert ov_runtime - some CI jobs require plugins.xml even though plugins are not built

Registration - if some entry already exists in XML - don't copy it.
E.g.
- Registration of 'TEMPLATE' is performed
- Registration loops through existing plugins.xml
   - If name="TEMPLATE" is found - don't take it to newContent
   - If name like "myCustomPlugin" is found - take it
- As result - "myCustomPlugin" will exist after update, but old "TEMPLATE" will be removed

* Add missing change
2022-01-27 16:54:21 +03:00
.ci [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
.github Use clang-12 for U20 (#9867) 2022-01-24 14:23:16 +03:00
cmake More fixes of plugins.xml generation (#9942) 2022-01-27 16:54:21 +03:00
docs [ MO ] Support MXNet operation arange_like (#8939) 2022-01-27 12:44:12 +03:00
inference-engine [IE][VPU]: Don't compile myriad custom layers and tools for ARM (#9912) 2022-01-26 16:30:32 +03:00
licensing Move licensing to docs folder in install package (#9842) 2022-01-21 19:14:02 +03:00
samples [IE Samples] Export and Import of model, fixed (#9776) 2022-01-27 14:46:02 +03:00
scripts [Scripts][Driver] Updated script logic with approved for 2022.1 driver (#9801) 2022-01-21 13:38:51 +03:00
src Dimension tracking: Always output batch the same as it was before (#9953) 2022-01-27 16:29:16 +03:00
tests [OMZ]: try update submodule (#9830) 2022-01-25 13:29:30 +03:00
thirdparty update open_model_zoo submodule (#9947) 2022-01-27 11:09:23 +03:00
tools Fix UnicodeEncodeError on Python 3.6 (#9285) 2022-01-27 14:00:38 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
.gitmodules [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +03:00
CMakeLists.txt Removed old cmake scripts (#9876) 2022-01-26 14:24:30 +03:00
CODEOWNERS [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
install_build_dependencies.sh Update year to 2022 in copyright notice (#9755) 2022-01-19 01:07:49 +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 [README.md] change latest release to 2021.4.2 2021-11-16 22:12:20 +03:00
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

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