OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Nikita Malinin 257ba79b82
[POT] Update model compression pass and FQ values precision (#8855)
* Update model compression pass and FQ values precision

* Pylint fixes

* Fix for case with 2 or more destinations

* Update pass.py from suggestion

Co-authored-by: Anton Chetverikov <Anton.Chetverikov@intel.com>

* Update with the const condition

* Update ref

* Revert ref and update data_type for FQ consts

Co-authored-by: Anton Chetverikov <Anton.Chetverikov@intel.com>
2021-12-07 11:47:13 +03:00
.ci Reverted merge conflict 8944 (#9033) 2021-12-06 17:25:35 +03:00
.github Rename runtime to src (#8842) 2021-11-27 11:28:25 +03:00
cmake [GNA] Renamed plugin and moved it to new place (#8944) 2021-12-06 13:00:35 +03:00
docs [MO, nGraph, transforms., ref., python] Support DetectionOutput-8 (#8853) 2021-12-07 01:17:49 +03:00
inference-engine [CPU] Security fixes (#9009) 2021-12-07 10:46:14 +03:00
licensing Exclude licenses for third party programs required for development from cmake install (#9015) 2021-12-06 13:18:10 +03:00
model-optimizer [MO, nGraph, transforms., ref., python] Support DetectionOutput-8 (#8853) 2021-12-07 01:17:49 +03:00
samples Fix a bug of benchmark_app for binary input filling. (#8960) 2021-12-07 10:05:17 +09:00
scripts Rename runtime to src (#8842) 2021-11-27 11:28:25 +03:00
src [GPU] ROIAlign-3 (#8991) 2021-12-07 10:10:09 +03:00
tests rm C/C++ object_detection_sample_ssd (#9020) 2021-12-06 10:38:40 +03:00
thirdparty Add nlohmann json (Release 3.10.4) as submodule (#8915) 2021-12-02 10:41:36 +03:00
tools [POT] Update model compression pass and FQ values precision (#8855) 2021-12-07 11:47:13 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore Removed temp from inference-engine folder, added OV_TEMP cmake option (#8667) 2021-11-24 08:37:26 +03:00
.gitmodules Add nlohmann json (Release 3.10.4) as submodule (#8915) 2021-12-02 10:41:36 +03:00
CMakeLists.txt Don't install content of openvino-dev; install wheels (#8820) 2021-12-01 14:34:50 +03:00
CODEOWNERS [GNA] Renamed plugin and moved it to new place (#8944) 2021-12-06 13:00:35 +03:00
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.