3f6dbb8a00
* fixed: StrideSlice/Crop was broken when crop axis != dim.size() - 1 & added support for tensor dim > 2 fixed: clamp had hard coded upper & lower boundary to -50/50 fixed: InsertIdentityLayerPass was adding not necessary identities that was leading to exception when 2 identities was added to convolution output fixed: SubstituteScaleShiftBroadCastPass caused invalid input tensor dimension overwrite - instead of overwrite currently reshape is injected * updated copyright header dates * updated copyright date * fixed braces not at the end of line * fixed braces in if else sequence * shortened line length * fixed issues reported in review * fixed test - model in test assumed clamped range <-5,5> however code had hard coded value <-50,50>, which test assumed as correct result * fixed smoke_MemoryEltwiseReshapeConcatTest/MemoryEltwiseReshapeConcatTest * [GNA] Added test for crop 4d Co-authored-by: Andrey Dmitriev <andrey.dmitriev@intel.com> |
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| inference-engine | ||
| licensing | ||
| model-optimizer | ||
| ngraph | ||
| openvino | ||
| scripts | ||
| tests | ||
| thirdparty | ||
| tools | ||
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| CMakeLists.txt | ||
| CODEOWNERS | ||
| install_build_dependencies.sh | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ 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.