Evgeny Lazarev a4d90a0aba MO fusing activations (#1942)
* Added HSwish operation

* Added HSwish fusing transformation

* Fixed BOM

* Added unit test for HSwish fusing transformation

* Fixed unit tests for transformations using 'build_graph_with_edge_attrs' function to build the graph

* Added fusion transformation for Swish operation

* Added fusing transformation for Softplus operation

* Added fusion transformation for Mish operation

* Added check for the node name in the unit tests

* Fixed Mish fusion pattern

* Updated Mish fusion transformation. Added unit test

* Updated HSwish fusing transformation

* Updated Swish fusion transformation and tests

* Fixed unit tests
2020-08-27 11:56:52 +03:00
2020-08-12 13:17:34 +03:00
2020-07-20 17:36:08 +03:00
2020-07-17 15:07:58 +03:00
2020-05-19 19:04:27 +03:00
2018-10-16 13:45:03 +03:00
2020-08-07 15:33:11 +03:00

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0

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 two components: namely Model Optimizer and Inference Engine, as well as CPU, GPU 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.

Documentation

How to Contribute

See CONTRIBUTING for contribution to the code. See CONTRIBUTING_DOCS for contribution to the documentation. Thank you!

Support

Please report questions, issues and suggestions using:


* 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%