* Add GatherND_8 operation * Update shape infer function and tests * Initial commit for nGraph GatherND_8 operation * Add GatherNDBase class implementation * Fix base class errors * Add missrd header * Update base class * Update GatherND_8 implementation * Fix codestyle * Fix wrong rank * Implement tests for gatherND_8 shape inference function * fix codestyle * Add limitation to doc * Siplyfy check in shape inference * Add more test cases * Update shape inference function * Add more test cases to cover all case with dynamic input shapes * Update shape inference function * Refactor tests * Initial commit for gatherND_8 reference implementation * Add visitor tests for gatherND_8 operation * Add visitor tests for gatherND_8 operation * Correct comment * Add additional check is shape inference function * Update shape inference implementation for gathernd operartion * Fix codestyle * Remove restriction for data is fully defined * Update shape inference functon * Add gatherND_8 reference to evaluate map * Add tests for gathernd_8 reference in batch_dims > 1 * Fix codestyle * Fix codestyle * Fix missed check for nonetype * Remove redundant checks for batch_dims * Use get_shape method instead of get_input_shape in GatherND reference implementation call * update reference implementation call * Properly add GatherND_8 to test opset table * Update GatherND reference implementation for support opset8 version * Add unit tests for gatherND_8 reference implementation * Update gatherND reference implementation call in evaluate map * Mark failed tests for missed plugin gatherND_8 implementations * Fix codestyle * Fix codestyle * Fix codestyle * Update tests * Move common methods to base class * Fix codestyle * Revert clone_with_new_input function moving * Add more test for reference * partially revert API changes |
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cmake | ||
docs | ||
inference-engine | ||
licensing | ||
model-optimizer | ||
ngraph | ||
openvino | ||
runtime | ||
samples | ||
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
openvino
tag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.