Mikhail Nosov
59707b7937
* [Plugins test] Add functional test for correct import/export support by plugins Test suite creates number of models with various precisions. For each model: - If plugin doesn't support IMPORT_EXPORT_SUPPORT metric - skip the test - Try LoadNetwork without cache enabled fails - skip the test - Do one inference If Load and Infer request is succeeded and plugin has import metric: - Load network with cache enabled. Infer request and compare outputs with original infer - Import network, perform inference. Compare outputs with previous ones * Fix Centos build warnings Myriad: reset executableNetwork before next load Myriad: Reduced time consumption for Myriad tests * Caching test suite - batch size parameter support
OpenVINO™ Toolkit
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
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ modules: https://github.com/openvinotoolkit/openvino_contrib
- Intel® Distribution of OpenVINO™ toolkit Product Page
- Intel® Distribution of OpenVINO™ toolkit Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.