Mikhail Nosov d84d00e2d6 Fix issue with output's friendly name after post-processing (#11095)
Scenario:
- Node "Split" with multiple outputs (e.g. 3). All outputs are connected to "Result"s
- Add post-processing step (e.g. convert element type, can be also implicit)

Issue: after post-processing, 3 new results will be created, each will have "Split" friendly name - inconsistency with IRv10 rules
Fix:
- For nodes with multiple outputs, add '.<idx>' suffix to new output's friendly name
- If no post-processing is applied, return immediately, keeping original results as is

Tests:
- Split with 3 outputs where 2 outputs have post-processing.
- Split with 3 outputs, post-processing doesn't create any nodes
2022-03-21 20:26:24 +03:00
2022-03-21 19:13:24 +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 OpenVINO™ Runtime C++ and Python APIs integrated with application logic.

This open source version includes several components: namely Model Optimizer, OpenVINO™ Runtime, Post-Training Optimization Tool, 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 TensorFlow, ONNX, PaddlePaddle, MXNet, Caffe, Kaldi.

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OpenVINO™ 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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