* ConvertMatmulToPointWiseConvolutionTest first test * add ConvertMatmulToPointWiseConvolutionFqTest * use general functions to create test subgraphs * use general funstion to append node; add ConvertMatmulWithBiasToPointWiseConvolutionTest * add ConvertMatmulWithBiasToPointWiseConvolutionFqTest * use decorator instead of bool function arguments * remove unused functions * cleanup * add ConvertMatmulWithFqToPointWiseConvolutionTest * add ConvertMatmulWithFqToPointWiseConvolutionFqTest * add ConvertMatmulWithFqToPointWiseConvolutionTestNoAddNode * remove debug * add ConvertMatmulToPointWiseConvolutionTestInputRank3 * use TEST_P for ConvertMatmulToPointWiseConvolution tests * use testing::values fixture instead of multiple tests * cleanup * use combine tests for invalid inputs * code style cleanup * fix unique_ptr build under Windows * code review fixes: function template params * code review fixes: remove duplicated test entry * fix function arguments alignments
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.