* Started to write transformation that allows MKLDNN Interpolate to work with axes {1,2} or {1,2,3}. * Written the transformation that wraps Interpolate into Transposes. * Some fixes. * Written transformation tests. * Added debug prints. * Fixed order inputs calculations for inserted Transposes. * Fixed the transformation tests. * Deleted commented code. * Fixed includes. * Small fix. * In some places, int64_t was replaced by size_t. * Small change. * Small fix. * The function transformation_is_applicable() was inlined. * Inlined the helper function get_non_interpolated_axes(). * Inlined the function create_set_of_all_axes(). * Code style fix. * Small fix. * Added test. * Some fixes. * Fixed shapes of start, stop, step inputs of Range in the test. * Added more tests. * Small fix. * Added TransposeSinking after WrapInterpolateIntoTransposes (in MKLDNN plugin). |
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model-optimizer | ||
ngraph | ||
openvino | ||
runtime | ||
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tests | ||
thirdparty | ||
tools | ||
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CODEOWNERS | ||
install_build_dependencies.sh | ||
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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
openvino
tag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.