OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
Piotr Szmelczynski 81c8cd711b
Revise logical not (#6942)
* update spec

* remove backend tests and create op_reference test

* add logicalNot to constants

* add NGRAPH CHECK for number of inputs and outputs

* create type_prop tests

* create visitor test

* add type_op and visitor tests to CMakeLists

* remove backend test from CMakeList

* update T to T_BOOL

* update outputs part in spec

* fix type in the spec

* fixed conflicts in CMakeList

* update ReferenceLogicalLayerTest to also work with unary logical operator

* update logical_not op_reference test to use ReferenceLogicalLayerTest

* fix style

* fix style

* resolve conflict

* resolve conflict

* remove typo

* fix style

* Update ReferenceLogicalLayerTest class tto take input as a vector

* Create makeLogical function that takes ParameterVector as parameter

* update op_reference logical tests to take input as a vector

* Replace elem_type with input.type

* update getTestCaseName method
2021-08-27 06:55:19 +03:00
.ci Run layer tests in pre-commit CI validation on Azure (#6537) 2021-08-25 18:09:58 +03:00
.github Fix code style artifacts (#6997) 2021-08-11 16:15:53 +03:00
cmake Use ONNX Frontend instead of ONNX Reader (#7031) 2021-08-26 11:50:53 +03:00
docs Revise logical not (#6942) 2021-08-27 06:55:19 +03:00
inference-engine Revise logical not (#6942) 2021-08-27 06:55:19 +03:00
licensing [Speech sample] Added numpy array support (#5479) 2021-06-03 12:22:06 +03:00
model-optimizer Use ONNX Frontend instead of ONNX Reader (#7031) 2021-08-26 11:50:53 +03:00
ngraph Revise logical not (#6942) 2021-08-27 06:55:19 +03:00
openvino Fixed compilation with Intel compiler (#6788) 2021-07-26 12:42:05 +03:00
scripts Use ONNX Frontend instead of ONNX Reader (#7031) 2021-08-26 11:50:53 +03:00
tests Updated inter_tool due to IE api was updated (#7217) 2021-08-25 11:49:42 +03:00
thirdparty Update ONNX to version 1.10 (#7186) 2021-08-25 11:37:44 +02:00
tools Merge benchmark tools dirs (#6960) 2021-08-12 11:38:03 +03:00
.gitattributes Convert *.png and *.bmp files to LFS 2021-07-08 14:06:38 +03:00
.gitignore publish master branch snapshot, revision 8d31237e2c3f673cbb0f0ba110fc10f5cce1d2bb 2020-05-22 02:23:12 +03:00
.gitmodules Reorganize work with openvino/thirdparty (Copied from PR6744) (#6880) 2021-08-11 11:33:52 +03:00
CMakeLists.txt Use protobuf-lite for ONNX FE by default (#6829) 2021-07-31 17:21:35 +03:00
CODEOWNERS update configuration mgmt owner files (#7052) 2021-08-13 11:48:28 +03:00
install_build_dependencies.sh Azure CI: Move openvino-lin to Ubuntu 20.04 (#6898) 2021-08-03 13:00:59 +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 2021-06-29 21:48:22 +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)

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.