Anastasia Popova cfc3b563a5 Tensor names in IR (#4089)
* Added attributes save modes

* Added tensor names to IR

* Reformat code

* Unit tests and code refactoring

* Fixed error

* Code refactoring

* Code refactoring

* Code refactoring

* Error fixed

* Error fixed

* Bug fixed

* Bug fixed

* Additional unit tests and comments

* Added dest mode in Fuse Mul
2021-02-06 09:31:47 +03:00
2020-11-19 13:59:20 +03:00
2021-02-05 21:04:53 +03:00
2020-07-20 17:36:08 +03:00
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2020-11-17 16:44:44 +03:00

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.

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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%