25b2131d21
* ngraph and inference-engine parts * add priorbox_8 python api * remove 'PriorBoxAttrs' and 'PriorBox' from outside of opset namespace * add common nGraph transformation 'ConvertPriorBox8To0' * remove redundant alias of PriorBox::Attributes * use new Tensor api for evaluate method * change v0operation back to the former api, pass Attribute structure to the reference implement * use new Tensor api for constant_fold * add support for dynamic shapes of constant_fold new Tensor api * fix Node 'create temp tensors' issue when shape==0' * revert to 'HostTensor' api for PriorBox8 * Apply suggestions from code review and 'template_plugin reference' testcase replaced 'backend INTERPRETER' testcase * transformation part Apply suggestions from code review * python init file updated for opset8 * keep backward compatibility to fix CI issue * rebase to new structure of OpenVINO repo * revert 'thirdparty/onednn_gpu' mistake changes |
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| cmake | ||
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| inference-engine | ||
| licensing | ||
| model-optimizer | ||
| samples | ||
| scripts | ||
| src | ||
| tests | ||
| thirdparty | ||
| tools | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| CMakeLists.txt | ||
| CODEOWNERS | ||
| install_build_dependencies.sh | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
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.