f928f7fc56
* Reference implementation init * Backend tests * Single layer tests * Update offset range in layer tests * Align int types with ng op * Update spatial bins type * Type update * Fix sub bin calculation in mkldnn plugin * Update summarize py file * Align result type * Refactoring * Apply review comments * Add serialize layar tests * Adjust int comparison * Adjust code style * Use clamp reference * Unify style * Additional check for negative output dim * Set tensor output shape in evaluate * Add visit attributes test * Small refactor * Code style (namespace comments) * Fix CommonTestsUtils::fill_data_roi usage. This function was generalized in PR #5432 and its siganutre has changed. * Update licenese header with mention about original authors. * Replace MIT SPDX full license name with short identifier. * Fix sub bin calculation in mkldnn plugin Co-authored-by: jdanieck <jozef.daniecki@intel.com> |
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| tools | ||
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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
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.