Svetlana Dolinina 71b7c7000a Changed permutes mechanics for Kaldi (#5744)
* changed permutes

* fixed permutes

* fixed kernel

* fix transpose after convolution

* fix for convnet

* insert transposes for all convolutions and poolings

* refactor transformations;
added unit tests;
removed old transformations for addinf permutes/reshapes

* fixed constant types

* fixes after merge

* fixed bug for rm_cnn4a: added correct time_dim for the first convolution

* added fix for timeheightconvolution: in this case we have correct time set in convolution kernel already

* minor review fixes: renamed transformation and file

* rename in test

* rename in test

* sort imports + couplt changes in comments

* review fixes: refactoring

* replaced recursive implementation by nx.topological_sort;
fixed comments

* minor fixes: comment + preserving node names
2022-01-18 12:10:51 +03:00
2022-01-17 21:54:05 +03:00
2021-12-13 00:04:56 +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) PyPI Downloads

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