OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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[GNA] Enabled new OV inference tests (#8618)
* Enabled the new OV inference tests

* reverted .gitignore

* Revert "reverted .gitignore"

This reverts commit a6b63bfef8.

* Update inference-engine/tests/functional/plugin/gna/shared_tests_instances/skip_tests_config.cpp

Co-authored-by: Nadezhda Ageeva <nkogteva@gmail.com>

* Update inference-engine/tests/functional/plugin/gna/shared_tests_instances/skip_tests_config.cpp

Co-authored-by: Nadezhda Ageeva <nkogteva@gmail.com>

* Removed CVS from skip list

Co-authored-by: Nadezhda Ageeva <nkogteva@gmail.com>
2021-11-21 16:15:53 +03:00
.ci continue to load candidate device when load device failed (#8006) 2021-11-20 17:49:19 +03:00
.github [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
cmake Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
docs Typo fix in I420toRGB specification example (#8705) 2021-11-19 10:47:19 +00:00
inference-engine [GNA] Enabled new OV inference tests (#8618) 2021-11-21 16:15:53 +03:00
licensing Update third party files (#8382) 2021-11-03 15:29:42 +03:00
model-optimizer Separated old_api_map into two attributes. (#8632) 2021-11-18 22:04:50 +03:00
ngraph [CPU] OneHot dynamic done (#8488) 2021-11-21 14:44:11 +03:00
openvino Windows static (#8578) 2021-11-17 01:22:04 +03:00
runtime [CPU] OneHot dynamic done (#8488) 2021-11-21 14:44:11 +03:00
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tools fix: check int branch while find fqs_to_unify (#8661) 2021-11-19 15:21:27 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [POT] Added missed file to POT (#8118) 2021-10-21 11:28:26 +03:00
.gitmodules Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
CMakeLists.txt Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
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install_build_dependencies.sh Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
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OpenVINO™ Toolkit

Stable release Apache License Version 2.0 GitHub branch checks state Azure DevOps builds (branch) PyPI Downloads

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:

Support

Please report questions, issues and suggestions using:


* Other names and brands may be claimed as the property of others.