OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Ilya Lavrenov 1621c66ad8
Static protobuf for FEs (#6588)
* protobuf static + mixed editor and importer

* merged onnx common

* remove ngraph_test_util to onnx_importer and onnx

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* Revert "remove ngraph_test_util to onnx_importer and onnx".

* test ngraph_test_util dependencies

* Fixed static protobuf

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* Fixed cross-compilation

* Don't export / install onnx_proto

* Fixed Windows

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* Fix

* Added exclude-all for exe as well

* Fixed code style

* Try without LTO

* LTO off only for onnx importer

Co-authored-by: mbencer <mateusz.bencer@intel.com>
2021-07-16 07:25:40 +03:00
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OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch)

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:

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.