OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Jozef Daniecki 55dd8b0a2d
Align nGraph serialization to specification & MO behaviour (#2990)
* Align MaxPool op attribute 'rounding_type' to spec.

Attribute name should be in lower case.

* Remove obsolete "cacheable" attribute from Parameter.

* Translate ReLU & SoftMax ops type names from ngraph to IR convention.

* Remove <data> node when op has no attributes.

* Translate all operation attributes values to lower case.

* Revert "Align MaxPool op attribute 'rounding_type' to spec."

This reverts commit 243eeccff3.

* Revert "Translate all operation attributes values to lower case."

This reverts commit d4c24175b3.

* Align MaxPool op attribute 'rounding_type' to spec.

Attribute name should be in lower case.

* Align auto_pad & auto_broadcast operation attributes to spec.

They should be written in lowercase.

* Rename op:PadType 'none' to 'explicit'.
2020-11-23 06:43:39 +03:00
.ci [OpenVino ONNX CI watchdog] Small improvements (#3096) 2020-11-13 12:17:11 +03:00
.github Remove Java bindings (#3216) 2020-11-19 13:59:20 +03:00
cmake Ngraph static lib (#3193) 2020-11-18 18:09:41 +03:00
docs Fix opset5::Loop specification for sliced input (#3230) 2020-11-22 13:29:14 +03:00
inference-engine Align nGraph serialization to specification & MO behaviour (#2990) 2020-11-23 06:43:39 +03:00
licensing added third party programs files (#2751) 2020-10-23 18:03:01 +03:00
model-optimizer [MO] cli_parser fix when input contains substring with matching scale/mean values (#3146) 2020-11-20 11:42:42 +03:00
ngraph Align nGraph serialization to specification & MO behaviour (#2990) 2020-11-23 06:43:39 +03:00
openvino ITT performance counters for first inference (#1741) 2020-11-12 14:00:14 +03:00
scripts Update install_openvino_dependencies.sh (#3197) 2020-11-19 01:30:08 +03:00
tests Add new model to tgl_test_config.yml (#3236) 2020-11-20 13:33:57 +03:00
tools Fix spelling errors in tools (#3217) 2020-11-19 16:56:47 +03:00
.gitattributes Doc Migration (master) (#1377) 2020-07-20 17:36:08 +03:00
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.gitmodules add submodules for mkl-dnn, gflags and gtest 2020-05-21 23:00:55 +03:00
CMakeLists.txt Connect some ngraph and IE cmake options (#3147) 2020-11-17 11:42:34 +03:00
CODEOWNERS Added code owners for scripts folder (#2130) 2020-09-08 17:23:27 +03:00
install_build_dependencies.sh [install_dependencies.sh] install latest cmake if current version is lower 3.13 (#2695) 2020-10-16 21:03:46 +03:00
Jenkinsfile [Jenkinsfile] Get rid of dldtPipelineEntrypoint (#3012) 2020-11-09 19:17:19 +03:00
LICENSE Publishing R3 2018-10-16 13:45:03 +03:00
README.md Removed documents which are ported to OpenVINO WiKi (#3106) 2020-11-17 11:46:05 +03:00
SECURITY.md Added SECURITY.md back (#3177) 2020-11-17 16:44:44 +03:00

OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0 Azure DevOps builds (branch)

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.

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