* Removed legacy IE shape infer * Removed GenericIE operation * Removed legacy shape infer tests * Removed legacy test with legacy IE reshape * Fixed compilation issues related to removal of GenericIE * Fixed one more compilation issue with clDNN * Fixed test for reading experimental ops * Updated tests and make IR Reader to load old experimenal and extension ops as opset6 * Change opset of some ops only if they are currently experimental/extension to avoid situation like opset1::Proposal -> opset6::Proposal * Removed more legacy code * Returned back code removed by mistake * Fixed issues related to incorrect merge with master * Merge fixes * Fixed unit tests which starts to fail because now loading the model with unknown operation is failed earlier * Removed incorrectly added code Co-authored-by: Evgeny Lazarev <elazarev.nnov@gmail.com> |
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model-optimizer | ||
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openvino | ||
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SECURITY.md |
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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*.
Repository components:
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.
Resources:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvino
tag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.