70c02d0fea
* Memory re-use for nGraph Consstant * Code style fixes * Did remove setWeights from public API * Fixes for tests * Moving setWeightsPtr to CNNNetwork * Removing setWeights function, set blob ptr directly to preallocated ngraph buffer * Fix for code style * Preallocated buffer refactored, rename to Shared, remove declaration from AlignedBuffer * Fix for code style * Remove setWeightsBlobPtr from mock classes. * fixing bugs after merge * Test fix * Fix for cpu Functional tests * Fix for Windows build * Try to fix GNMT test failure. * Releasing pointers what holds CNNNetwork * Fix after merge * mkl-dnn submodule update * reverting back cloned network cleanup * Fix for double allocation * Code style... * update mkl-dnn * update mkl-dnn * mkl-dnn bump * update mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * update mkl-dnn * bump mkl-dnn * mkl-dnn bump * bump mkl-dnn * update mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * mkl-dnn bump * update mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * mkl-dnn bump * update mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * update mkl-dnn * bump mkl-dnn * mkl-dnn bump Co-authored-by: Tony Reina <g.anthony.reina@intel.com> |
||
|---|---|---|
| .ci | ||
| .github | ||
| cmake | ||
| docs | ||
| inference-engine | ||
| licensing | ||
| model-optimizer | ||
| ngraph | ||
| openvino | ||
| scripts | ||
| tests | ||
| tools | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| 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.