Tomasz Dołbniak
6899a95e1c
* Redundant op::Max CF removal * Redundant op::Min CF removal * Redundant op::Sum & op::Product CF removal * CF Min and Max using evaluate() * Arithmetic reduction CF pass removal * Quantize op CF pass removal * Convert op CF pass removal * Logical reduction CF pass removal * Select op CF pass removal * OneHot CF pass removal * Code formatting * ScatterElements CF pass removal * Gather CF pass removal * Disable a Quantize op test that fails in CI * CF pass cleanup * Convert op cleanup and test adaptation to spec * Possible fix for failing VPU tests * Limit the types used in OneHot::evaluate * Quantize op evaluator removal * Refactor of Gather evaluator * CF pass cleanup and adaptation to FunctionPass interface * New CF pass implementation * Fix the Tile::evaluate method for dynamic shapes * Node shapes revalidation in CF pass * Obsolete code cleanup * Obsolete include removal * Recursively fold subgraph nodes * Obsolete include removal * Revalidate each node in CF * PR feedback * Missing RTTI symbol definition
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ 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.