a78515f3e7
* Enhance dynamic shape inference of validate and infer types method * Review op class of DeformableConvolution * Add node validation checks into validate and infer types specific to element type and shape of inputs * Refactor validate and infer types method to use common function to validate conv parameters and infer output shape * Apply these changes to Convolution and BinaryConvolution for alignment * Add type_prop unit tests * Add node validation checks for deformable values spatial dimensions * Fix type_prop and python api shapes * Fix deformable values spatial dimensions * Add validation checks in reference implementation * Address review comments * Remove reference to const for basic types in ref impl * Update comment with ticket to add check for u1 * Change deformable values to offset to align with spec |
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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.