Dmitrii KhurtinandElizaveta Lobanova 4835896582 Convolution to matmul (#6803)
* [GNA] Remove transposes around MatMul

* Added tests for transformation HandleTransposesAroundMatMul

* Move IsTransposeSupported function to GNA limitations file

* Correct transpose insertion tests

* added TransposeAfterMatmul tests and moved InsertTransposeBeforeMatmul tests to handle_transposes_around_matmul.cpp

* added inifitiry loop checker and memory concat test

* fixed build errors

* changed the conditions for selecting an input of Concat for ScaleFactor calculation when entering an infinite loop

* fixed after review

Co-authored-by: Elizaveta Lobanova <elizaveta.lobanova@intel.com>
2021-08-10 14:08:17 +03:00
2021-08-10 07:49:37 +03:00
2021-08-09 12:40:56 +03:00
2021-08-04 07:43:13 +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*.

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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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