f9949b4140
* Alignment of OV and ONNX models outputs naming
* Python tests adaptation to new naming rules
* New output naming rules
* Output name retrieval adaptation (tensor iterator node)
* Copying of tensor names during output replacement
* Multiout multinode subgraphs handling in the importer
* Proper replacement tensor naming
* Model zoo test runner adaptation
* Backwards compatible python tests runner adaptation
* If node adaptation
* Adaptation to changes in master
* Deprecation warning suppression
* Imports fix in compatibility tests
* If node adaptation to the new naming
* MaxPool python tests re-enabled
* ONNX Identity elimination adaptation
* XFAIL for the Identity op test
* Support for Param->Result models and indentity op
* Fix of the ONNX Indentity handling
* The test that fails only on windows temporarily disabled
* ONNX tensor names test adaptation
* Code cleanup
* Code formatting
* Obsolete helper removal
* One more spot where output name helper should be used
* PyApi fix for tensors with multiple names
* Don't set friendly names for unnamed ONNX nodes
* Revert "Don't set friendly names for unnamed ONNX nodes"
This reverts commit
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| tools | ||
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| CMakeLists.txt | ||
| CODEOWNERS | ||
| install_build_dependencies.sh | ||
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| LICENSE | ||
| README.md | ||
| 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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.