* changed permutes * fixed permutes * fixed kernel * fix transpose after convolution * fix for convnet * insert transposes for all convolutions and poolings * refactor transformations; added unit tests; removed old transformations for addinf permutes/reshapes * fixed constant types * fixes after merge * fixed bug for rm_cnn4a: added correct time_dim for the first convolution * added fix for timeheightconvolution: in this case we have correct time set in convolution kernel already * minor review fixes: renamed transformation and file * rename in test * rename in test * sort imports + couplt changes in comments * review fixes: refactoring * replaced recursive implementation by nx.topological_sort; fixed comments * minor fixes: comment + preserving node names
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.