* update spec * remove backend tests and create op_reference test * add logicalNot to constants * add NGRAPH CHECK for number of inputs and outputs * create type_prop tests * create visitor test * add type_op and visitor tests to CMakeLists * remove backend test from CMakeList * update T to T_BOOL * update outputs part in spec * fix type in the spec * fixed conflicts in CMakeList * update ReferenceLogicalLayerTest to also work with unary logical operator * update logical_not op_reference test to use ReferenceLogicalLayerTest * fix style * fix style * resolve conflict * resolve conflict * remove typo * fix style * Update ReferenceLogicalLayerTest class tto take input as a vector * Create makeLogical function that takes ParameterVector as parameter * update op_reference logical tests to take input as a vector * Replace elem_type with input.type * update getTestCaseName method |
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.github | ||
cmake | ||
docs | ||
inference-engine | ||
licensing | ||
model-optimizer | ||
ngraph | ||
openvino | ||
scripts | ||
tests | ||
thirdparty | ||
tools | ||
.gitattributes | ||
.gitignore | ||
.gitmodules | ||
CMakeLists.txt | ||
CODEOWNERS | ||
install_build_dependencies.sh | ||
Jenkinsfile | ||
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.