OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Krzysztof Bruniecki 97df59a4ab
[GNA] Restore deprecated options for GNA Plugin (#9611)
* Restore deprecatet options for GNA Plugin

* Apply review use INFERENCE_ENGINE_DEPRECATED macro

* Deprecate PWL_UNIFORM_DESIGN and PWL_MAX_ERROR_PERCENT

* Add doxygen deprecation message

* Use string for deprecated config keys to avoid compile time errors

* Use IE_SUPPRESS_DEPRECATED_START

* Fixup lint

* Fix indentation

* Usue future release instead 2022.2 in deprecated message, supress deprecation error in tests

* Fix test
2022-01-17 10:32:02 +03:00
.ci [IE][VPU] Rename and move VPU plugin to src/plugins (#9110) 2022-01-14 14:02:08 +03:00
.github [IE][VPU] Rename and move VPU plugin to src/plugins (#9110) 2022-01-14 14:02:08 +03:00
cmake [IE][VPU] Rename and move VPU plugin to src/plugins (#9110) 2022-01-14 14:02:08 +03:00
docs Added new tests for tensors element types (#9667) 2022-01-14 22:59:08 +03:00
inference-engine [IE][VPU] Rename and move VPU plugin to src/plugins (#9110) 2022-01-14 14:02:08 +03:00
licensing Export frontend_common as dev target (#9003) 2021-12-08 17:18:44 +03:00
samples [GNA] Restore deprecated options for GNA Plugin (#9611) 2022-01-17 10:32:02 +03:00
scripts Clean up setupvars scripts (#9410) 2021-12-29 17:57:56 +03:00
src [GNA] Restore deprecated options for GNA Plugin (#9611) 2022-01-17 10:32:02 +03:00
tests [GNA] Deprecate GNA_LIB_N_THREADS and SINGLE_THREAD parameters + sample update (#9637) 2022-01-14 12:20:36 +03:00
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tools [ICV] Add flag to prevent IE from booting MX VPU (#9447) 2022-01-14 17:15:51 +03:00
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CODEOWNERS [IE][VPU] Rename and move VPU plugin to src/plugins (#9110) 2022-01-14 14:02:08 +03:00
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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.