3e22f33224
* Update spec for ADD operation. * Change back quote for attribute name and value. * Update link for auto_broadcast attribute. * Move detailed description section, add suto_broadcast attribite to examples. * Remove github link in numpy attribute description and replace it with local link. * Add brodcast_rules.md for specific broadcast rules. * Add new line at the end of broadcast_rules.md, modify font for add inputs. * Change link for Broadcast_1.md * Add description of broadcast in broadcast_rules.md * Correct output shape description. * Add bidirectional broadcast description and new examples. * Add description for auto_broadcast types: None and PDPD. * Add examples for pdpd and bidirectional broadcasts, add pdpd attributte for Add, modify Broadcast ops to refer broadcast_rules file. * Duplicated 'openvino_docs_ops_broadcast_rules' label change. * Add example with scalar for bidiretional broadcast. * Add new lines for examples. |
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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.