David Nam 000723acd0 Add ReadValue and Assign to template plugin tests (#9132)
* Add readvalue, assign to templte plugin test

* Fix clang error

* Fix clang error

* Remove unnecessary comment

* Fix type-casting error

* Fix ci issue regarding const value

* Change Function to Model

* Fix op scope

* Change way to get variable

* Fix type-casting error

* Set variable id to const

* Fix side-effect in ieFuncTests

* Implement Assign-3, ReadValue-3 in evaluates_map

* Correct setting attribute

* Correct setting attribute

* Remove unnecessarily added method

* Roll back v6

* Use member variable for variable_id in assign-3, read_value-3

* Get data pointer from host tensor

* Remove visitor API test for ReadValue-6, Assign-6

* Implement visitor api test for read_value-6, assign-6

* Fix clang error

* Split read_value and assign into each file for visitor test

Co-authored-by: Ilya Churaev <ilya.churaev@intel.com>
2022-03-18 07:13:40 +00:00
2022-03-17 11:17:25 +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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