Vladislav Golubev 04158afc21 [LPT] Added check for uniqueness of friendly names in tests (#7570)
* FQDecomposition: added check on unique friendly names after transformation

* NormalizeL2Transformation: added check on unique friendly names after transformation

* ti to sequences conversion: naming fix

* [LPT][TESTS] Check on unique names added to functional tests

* compilation error fix

* compilation error fix
2021-09-29 18:40:21 +03:00
2021-09-24 17:24:44 +03:00
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2021-09-29 06:31:37 +03:00
2021-09-22 18:53:22 +03:00
2021-05-31 15:24:56 +03:00
2018-10-16 13:45:03 +03:00
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.

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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%