iliya mironov 5408f611e9 Add ctc gready decoder sec len op to ngraph (#3499)
* Add ctc gready decoder sec len op to ngraph

* Remove some comments

* Add second constructor

* Fix code style

* Fix code style

* Add unit tests

* Add tests to cmake

* Fix according to review

* Fix code style

* fix

* Change input layoyt

* Fix code style

* Add unit tests

* Add 3 input tensor check

* Update shell impl

* Fix code style

* Fix code style

* Add doxy gen

* Fix code style

* Update doxigen

* Update constructor description

* Fix code style

* Refactoring code

* fix code style

* Optimize op constructor

* Add macros. Optimize code for validate_and_infer_types

* Refactoring code

* Fix code style

* Fix code style

* Fix check blanck_index shape

* Fix code style

* Fix unit test for dynemic case

* Fix code style

* Fix copyryting

* reverse changes

* Update copyrite
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OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0 Azure DevOps builds (branch)

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:

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

Languages
C++ 80.5%
Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%