f6c3b90364
* adding conv2d decomposition * save point * build of conv_2d factorization succeeds * working 2d conv decomposing transform * added pseudo code for handling larger kernels * fix conv splitting due to size * active work on convolution 1xK without dilation * validated NHWC ordered networks with convolution kernel sizes: 3x3 3x1 5x1 1x5 1x3 TODO: 2d max pooling * removed debug printouts * fusing max pooling/bias/af when -disable_nhwc_to_nchw option is used * code cleanup * [GNA] Fixes for CI run * [GNA] Add tests, fix transform * [GNA] Fix padded2valid and conv2d decomposition coexistence * [GNA] Temporarily disable tests due to mock call count issues * [GNA] Split tests for different hw versions Co-authored-by: prozen <piotr.rozen@intel.com> |
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| inference-engine | ||
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| model-optimizer | ||
| ngraph | ||
| openvino | ||
| scripts | ||
| tests | ||
| thirdparty | ||
| tools | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| CMakeLists.txt | ||
| CODEOWNERS | ||
| install_build_dependencies.sh | ||
| Jenkinsfile | ||
| 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.