289df8db27
* update spec, init backend file for equal op * add backend, visitors, serialize SLT tests * add backend test to manifest cause of mismatch of output type with cpu plugin * add equal to list of trusted ops and to cmakelist file * refactor backend tests to the new template * refactor spec * remove external link in numpy broadcast and update example * remove comparison.in.cpp file and related tests from manifest * fix example * remove redundant arguments * refactor backend tests * add pdpd broadcast to the spec, and different precison to SLT test * add precisions to SLT cpu * remove unsupported type from SLT * revert the deletion of comparison.in.cpp file * remove visitors test, since it will be added in the other PR * remove equal from CMakeLists.txt * refactor links in the spec * revert unwanted changes * remove equal from unit test manifest * revert links modification in spec * add namespace * split SSLTs for comaprison ops into seperate files * fix SSLTs names * add missing new lines * udpate output type in spec * rafactor numeric backend test to template * merge numeric template tests into equal
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.