Yegor Kruglov 9b129b7c1a [MO] Support MXNet Operations: batch_dot, LayerNorm, div_sqrt_dim (#7641)
* Add new operation support

* Update range_like replacer

* Move layer normalizer to middle

* Update bom file

* Update bom

* removed ArangeLike op

* updated bom

* added tests

* Updated docs

* comments relolving

* resolve documentation merge conflict

* arange_like op

* Revert "arange_like op"

This reverts commit a30f5bbb48.

* fixes in div_sqrt_dim

* comments resolving

* updated tests

* added batch_dot and layer_norm descriptions

* updated batch_dot comment

* updated comment

* move extractors to mxnet folder

* added replacer for batch_dot

* Revert "added replacer for batch_dot"

This reverts commit 8c0e52f7dc.

* return fully connected normalization

* fix typo

* updated fully connected normalization for mxnet

* changed assert message

* fixed gamma and beta shape incompatibility problem

* fixed imports, updated unittest

* resolve comments

Co-authored-by: iimironov <iliya.mironov@intel.com>
2022-01-18 11:12:30 +03:00
2022-01-17 21:54:05 +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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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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