1c7cfb7c7d
* Deserialization implementation for Constant op. * Add Cont op implementation for NodeConverter. * Refactor functional tests, remove Const op from layer and node cretaors. * Remove Constant op from NodeConverter. * Refactor smoke test. * Correct parameter in addBlob function. * Update Constant op representation for myriad functional tests. * Correct Const op representation for TopK model test. * Add changes accroding to review comments. * Refactor constant test. * Add review changes. * Add custom op for testing on_adapter(void*). * Correct library path. * Correct test fixture class for custom op test. * Apply review remarks, remove creators from DeconvolutionIE. * Refactored test ReadCustomAddConstNetwork, corrected on_adapter(). * Remove on_adapter() for CoordinateDiff which is specific to Convolution op. * Apply review remarks. * Apply teview remarks. * Correct Const op in non_max_suppression tests. * Resolve conflicts after rebase. |
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| cmake | ||
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| inference-engine | ||
| licensing | ||
| model-optimizer | ||
| ngraph | ||
| openvino | ||
| scripts | ||
| tests | ||
| tools | ||
| .gitattributes | ||
| .gitignore | ||
| .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.