iliya mironov 80c5f1a325 Add support opset11 for gemm normalizer (#6733)
* Add support opset11 for gemm normolizer

* Add layer test for gemm opset 11

* Fix layer test

* Fix layer test

* Refactoring according to code review

* Fix

* Update biases norm

* Refactoring matmul norm

* Fix accoding to review

* Fix alpha parameter

* Fix variable naming

* Refactoring according to code review
2021-08-24 15:43:19 +03:00
2021-08-20 12:27:02 +03:00
2021-08-11 16:15:53 +03:00
2021-08-18 09:48:38 +03:00
2021-08-12 11:38:03 +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)

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.

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