Jozef Daniecki 0acd153a6c Group convolution backprop data (#4113)
* GroupConvolutionBackpropData: Added backend unit tests

* GroupConvolutionBackpropData: Refactor SLT and added tests for 1D

* GroupConvolutionBackpropData: Added Serialization tests

* GroupConvolutionBackpropData: Added GroupConvolutionBackpropData reference implementation

* GroupConvolutionBackpropData specification refactoring.

* GroupConvolutionBackpropData: Added validation node checks for the op

* GroupConvolutionBackpropData: Copyright year fixed

* GroupConvolutionBackpropData: Enhanced output shape inference with dynamic shapes

* GroupConvolutionBackpropData: Remove redefinition of helper variables

* Spec refactoring: add ticks to types and layouts.

* Minor refactoring.

* GroupConvolutionBackpropData: Moved backend tests from GroupConvolution to corresponding file

* GroupConvolutionBackpropData: Improved output shape inference for fully dynamic inputs

* GroupConvolutionBackpropData: Clean up type_prop tests

* Fix banner in GroupConvolution shared test class.

Co-authored-by: ggalieroc <gabriele.galiero.casay@intel.com>
2021-02-08 13:38:14 +03:00
2020-11-19 13:59:20 +03:00
2020-07-20 17:36:08 +03:00
2018-10-16 13:45:03 +03:00
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*.

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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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