Mikhail Nosov
5765a7e35c
* NGraph - FrontEndManager - common API
Added Mock frontend for unit testing
* Comment out installation rules
* Fixed review comment
Introduced environment variable OV_FRONTEND_PATH for frontend paths
* Additional cmake cleanup
* More fixes of cmakelists
* Changing template file name for frontends
* Changed copyrights
* Reuse ngraph-utils for file-related operations
* Correct of frontend file extension for macos
More code coverage
* Renamed all methods to according to ngraph-style
In case of unset or empty OV_FRONTENT_PATH - load plugins from current working directory
* Fix review comments
Add clang format target for frontend_manager and mock frontend plugin
* Update docs for FrontEndCapabilities
* Use constants for flags instead of 'enum'
* clang style fix
* Fix comment: using namespace ngraph...
* Fix comment: use replace "frontend_manager" with ${TARGET_NAME} in CMakeLists.txt
* Comment fix: rename 'generic' folder to 'frontend_manager'
* Update documentation comments
* Set FrontEndManager class as 'final'
* Apply review comments
* renamed get_place_by_name_and... to get_place_by_operation_name_and...
* Separated frontend_manager.hpp into 4 header files
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
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