10f0075e90
* Added RandomUniformFusion transformation. * Extended transformations for case with Convert, extended transformations for general min and max value case. * Set to const unchanged variables. * Apply suggestions from code review Co-authored-by: Gleb Kazantaev <gleb.nnstu@gmail.com> * Reformat code, small corrections. * Added const shape checks. * Fixed transformation for case of different const ranks. * Added type checks. * Apply suggestions from code review Co-authored-by: Gleb Kazantaev <gleb.nnstu@gmail.com> * United RandomUniformMulFusion and RandomUniformAddFusion to single transformation. * Added negative tests. * Used get_constant_from_source(). * Moved transformation to common fusions. * Added const refs. * Update inference-engine/src/transformations/src/transformations/common_optimizations/random_uniform_fusion.cpp Co-authored-by: Gleb Kazantaev <gleb.nnstu@gmail.com> * Changed to single class. * Corrected IRs checks in layer tests. * Small corrections. Co-authored-by: Gleb Kazantaev <gleb.nnstu@gmail.com>
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.