9f9df184c4
* Added compatibility check of layout with partial shape
E.g. layout "NC" in not compatible with PartialShape{1,3,224,224}
Check is added:
- For parameter set_layout
- For parameter set_partial_shape
- For result set_layout
- Checked also compatibility for all results after 'validate_and_infer_types'
* Fix incorrect tests
* Fix of more incorrect tests
* Removed couple of obsoleted error-handling tests - these are catched now on earlier stages
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
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:
- [Inference Engine]
- [nGraph]
- Model Optimizer
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.openvino.ai/
- 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
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