OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Wang, Yang 4546df5091
Enable THROUGHPUT by default for all the devices. (#9107)
* Set THROUGHPUT as the default configration for all the plugin and display the config of the plugin.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* updated format.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Update benchmark python API.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Replace str 'THROUGHPUT' with CONFIG_VALUE(THROUGHPUT).

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Using CONFIG_VALUE(THROUGHPUT) replace 'THROUGHPUT' string.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* update code style.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Move the setting output code into the try block.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>
2022-01-12 11:09:54 +03:00
.ci [Python API] Move wheel folder to the python dir (#9125) 2022-01-11 16:55:18 +03:00
.github [Python API] Move wheel folder to the python dir (#9125) 2022-01-11 16:55:18 +03:00
cmake [GNA] Fixed symbolic links in tarball (#9545) 2022-01-11 16:22:28 +03:00
docs [OV2.0] Calculate model layout based on 'tensor' layout and convert steps (#9550) 2022-01-12 10:52:02 +03:00
inference-engine [Python API] Move wheel folder to the python dir (#9125) 2022-01-11 16:55:18 +03:00
licensing Export frontend_common as dev target (#9003) 2021-12-08 17:18:44 +03:00
samples Enable THROUGHPUT by default for all the devices. (#9107) 2022-01-12 11:09:54 +03:00
scripts Clean up setupvars scripts (#9410) 2021-12-29 17:57:56 +03:00
src Enable THROUGHPUT by default for all the devices. (#9107) 2022-01-12 11:09:54 +03:00
tests Change omz model (#9551) 2022-01-11 10:56:50 +03:00
thirdparty update open_model_zoo submodule to add telemetry update (#9586) 2022-01-12 00:48:54 +03:00
tools Enable THROUGHPUT by default for all the devices. (#9107) 2022-01-12 11:09:54 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore Feature/azaytsev/from 2021 4 (#9247) 2021-12-21 20:26:37 +03:00
.gitmodules [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +03:00
CMakeLists.txt Remove ngraph backends (#9162) 2021-12-13 00:04:56 +03:00
CODEOWNERS [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +03:00
install_build_dependencies.sh Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +03:00
Jenkinsfile Beautify Jenkinsfile a little bit 2021-05-31 15:24:56 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md [README.md] change latest release to 2021.4.2 2021-11-16 22:12:20 +03:00
SECURITY.md Added SECURITY.md back (#3177) 2020-11-17 16:44:44 +03:00

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:

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