a30bd0c9bb
* update docs * add host tensors validation * create type_prop tests * create serialization single layer test * create visitor test * create op_reference test * add logicalAnd to constants.py * create additional op_reference tests * add check for number of visited attributes in visitor test * update auto_broadcast description * remoove backend test * update LogicalNot params name * remove backend test from CMakeList * create util function for type_prop tests * update op_reference tests * remove typo in docs * remove unsupported types from evaluate * fix bug in op_reference test * refactor visitor test * update math formula in the spec * update has_evaluate types |
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| openvino | ||
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| CMakeLists.txt | ||
| CODEOWNERS | ||
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| LICENSE | ||
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| 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.