* reshape conv filter with gather in ngraph paddle front end * use unsqueeze for broadcasting in elementwise ops in ngraph paddle frontend * support dynamic input for paddle elementwise ops * add annotation * use general opset in paddle elementwise op * Revert "use general opset in paddle elementwise op" This reverts commit ff552d2efe47286910df9876e1b0d97ff6301695. * Revert "add annotation" This reverts commit b2e16633c192bddfb94963465d175f98fdad1719. * Revert "support dynamic input for paddle elementwise ops" This reverts commit a30a93f5b80f0a88064112e498f83eb9b22aa4bd. use general opset in paddle elementwise op * fix clang issue * Add annotation to get_reshaped_filter() and rename some variable in get_reshaped_filter() * handle broadcast of paddle elementwise with AutoBroadcastType::PDPD * link inference_engine_transformations lib to paddle frontend * Disable op sequence fusion when PDPD broadcast * Revert "Disable op sequence fusion when PDPD broadcast" This reverts commit 9172078e76317fb92507025478cf06f4ddc5b87d. * Revert "handle broadcast of paddle elementwise with AutoBroadcastType::PDPD" This reverts commit fc8d57ecb58f68f27bed1b8ba537af9a6737a4f6. * fix merge issue |
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inference-engine | ||
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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.