431485e4a6
* TensorIterator deserialization. Introduce new on_adapter(Function) and add implementation in on_adapter(void) for Input and Output Descriptions. Remove factory adapter. * Add comments to functions provided. Add missing on_adapter() after rebase. * Apply formatting. * Remove visit_attributes from SubGraphOp, remove declaration for createSubGraphLayer. * Add port map parsing to address not consecutive order of external_port_id appearance. * Remove header for factory_adapter. * Add on_adapter() in V10Parse::parse() function. * Add m_num_iterations initialization for concat output. * Remove redundant lines, add doxygen comments. * Change cpp/ie_cnn_network.h to local include, remove temporary map object from range for loop. * Restore protected access for SubGraphOp. |
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| cmake | ||
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| inference-engine | ||
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| model-optimizer | ||
| ngraph | ||
| openvino | ||
| scripts | ||
| tests | ||
| tools | ||
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| .gitmodules | ||
| CMakeLists.txt | ||
| CODEOWNERS | ||
| install_build_dependencies.sh | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
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
* Other names and brands may be claimed as the property of others.