* add GatherElements evaluate to interpreter backend * Finally successfully run on backend * debugged non-typical cases * added ngraph_reader tests for GatherElements * added Python API for GatherElements * apply_style * corrected python api tests * applied comments * style-apply * finally corrected nGraph Python API for GatherElements * minor corrections * style-apply * replaced quotes * added blank line * corrected evaluate and disabled unit-tests for not yet supported plugins * style-apply * applied comments: negative tests added and additional checks in evaluate * added bound check for axis in evaluate * style-apply * apply review comments * fast correct evaluate for GatherElements * style-apply * revert changes in interpreter unit_test.manifest for Gather * 🚀 optimized general solution; added separate calculation for 2D * 🚀 applied comments * style-apply |
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cmake | ||
docs | ||
inference-engine | ||
licensing | ||
model-optimizer | ||
ngraph | ||
openvino | ||
scripts | ||
tests | ||
tools | ||
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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
openvino
tag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.