Anastasia Popova 84f2e9fc24 Parameter/Result tensor names fix (#9754)
* Added tensor names checking transformation. Added framework name saving to tensor names list for input/output cut.

* Small fixes.

* Fixed tensor propagation in PowerToEltwises.

* Corrected tensor checking.

* Corrected tensor checking.

* Fixed MemoryOffsetAdjustment().

* Fixed tensor propagation for Yolo, ONNXMaskRCNNTransformation().

* Small fix.

* DetectionOutput tensor name set.

* Tensor name set for Reshape node in OD API.

* Temporarily added set of tensor names in ConvertGroupedStridedSlice.

* Small corrections, added tests.

* Added checks.

* Added deafault names setting.

* Moved default names setting to single place.

* Added port normilize befor setting tensor names.

* Fixed ResultRename logic.

* Removed tensor setting of unset ports.

* Corrected input cut tensor naming.

* Corrected InputCut, renamed set_tensor_names()->add_tensor_names().

* Fixed tensor setting for InputCut.

* Code corrections.
2022-01-26 17:23:46 +03:00
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2022-01-26 08:46:05 +03:00
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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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