* [IE][nGraph]: Enables const overload for SubGraphOp::get_function * [IE][nGraph]: Deletes SubGraphOp copy constructor SubGraphOp has clone_with_new_inputs function for deep coping, while default copy constructor does some kind of shallow one. In order to avoid confusion, copy constructor is deleted since it's unused anyway. * [IE][nGraph]: Enables protected Loop copy constructor Additional clone method is introduced in order to reuse Loop::clone_with_new_inputs implementation. Loop::clone_with_new_inputs implementation at the same time is refactored, since there were extra job that does not needed to be done there. * [IE][VPU][nGraph]: Introduces StaticShapeLoop StaticShapeLoop is a class derived from Loop to override validate_and_infer_types method in order to propagate upper-bounds through the function instead of dynamic tensors. It uses maximum_value estimation to get upper-bound for iterations count in case if it is dynamic. * [IE][VPU][nGraph]: Refactors function validators in DTS The same approach (nGraph operation to functor map) as for DTS shape functors is used since validation is operation type specific. * [IE][VPU][nGraph]: Enables DTS for Loop Only loops with inputs dynamic in batch (iterations count) and static body are supported.
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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
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