5b285ed105
* add move_fake_quantize_for_concat_transformation, mfk and mfk_function * fix relu_transformation.cpp * backup * add change * add cpu test * [LPT] MoveFakeQuantizeTransformation: fixes * get InferenceEngine::NotImplemented * fix ieFuncTests * try without new cpu_test * fix cpuFuncTests and ieFuncTests * fix tests * fix lin * add cpu test * fix link and matcher in move_fake_quantize.cpp * update matcher * add gpu test * naming fix * move_fake_quantize.cpp add set_fr_name for new_concat * naming new fq fix * fix NetworkHelper::copyInfo naming * concat.cpp naming fix * gpu tests fix * rm network_helper changes * rm extra output * resolve conversations * resolve other conversations * add multi inputs for concat * fix lin * fix move_fake_qunatize naming * rm maxpool from mfk_function * mkldnn update * fix style * rm extra change * fix concat matcher * rm mkldnn_plugin changes * fix conversations * fix interval * fix and add isQuantizedStatic, add attribute and negative tests * add negative plugin tests * fix style: Co-authored-by: Edward Shogulin <edward.shogulin@intel.com> |
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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.