* Fix: variable writing error. mas_dimension -> max_dimension Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Update description. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Update EmbeddingBagOffsetsSum comment, it will be easy to understand how to calculate bag. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Add attribute description for md Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * WIP: Add correctness test. Known issue: 1: weight fp16 issue. 2: default idx(1), don't choose in segment id. why? Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * change param order. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Support test T_IND type (int32 and int64) Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * weight support multiple type input. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * refactor correctness test code. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * embeddingbag offset sum correctness test pass. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * embeddingbag packed sum correctness test pass. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Add visitor without attribute test. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Add EmbeddingSegmentsSum serialization test. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Add EmbeddingBagPackedSum, EmbeddingBagOffsetsSum serialization test. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * fix build error after rebase. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * unify name: from ngraph:: to ov:: Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * add fp64 support Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Remove my MACRO define wrappers. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Remove useless header file. * tmp. pass. * Remove MACRO warpper for embeddingbag_offsetsum * Remove myown wrapper header, and update template plugin. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Change vector to ov::Shape. Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Rename CreateConstantVV-> CreateConstant Signed-off-by: Yan, Xiping <xiping.yan@intel.com> * Fix rebase issue. duplicate case ov::element::f64: Signed-off-by: Yan, Xiping <xiping.yan@intel.com> |
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.github | ||
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.