* Create new iterators which allow to iterate over coordinates. Use new iterators to speedup StridedSlice reference implementation. * Call memcpy if reverse ref impl has nothing to reverse. * Add unit tests for coordinate range. * Change coordinates::RangeIterator to template. * Yet another slice and reverse implementation. Remove all stuff connected with ranges. * Apply review suggestions. * Back to ranges which base on CoordinateTransform. * try to fix x84_32 build * try to fix x84_32 build * Ranges which return start, no, stride, direction. * add input validation to coordinate_index enable coordinate_range validation tests * add some doxygens * fix range increament * add empyt range * move SliceRange::get_value to cpp file Co-authored-by: Patryk Elszkowski <patryk.elszkowki@intel.com> Co-authored-by: ggalieroc <gabriele.galiero.casay@intel.com> |
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SECURITY.md |
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
openvino
tag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.