6d2740a335
* initial working solution * constant_folding for Gather-7 successfully enabled * successfuuly added remaining unittests * removed redundant evaluate from private * fixed evaluate for dynamic axis * fix pre-commit for KMB: added default batch_dims=0 to runtime/reference * clang_format_fix * added include ngraph/shape.hpp to fix compilation for onednn-plugin * temporary removed out of bound check for gather * removed optional argument for batch_dims * added const * finally successfully run on ARM: removed redundant declaration * style fix * changed argument types from size_t -> int64_t * changed back to size_t |
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| inference-engine | ||
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| model-optimizer | ||
| ngraph | ||
| openvino | ||
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| tests | ||
| thirdparty | ||
| tools | ||
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| CMakeLists.txt | ||
| 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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.