OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
Katarzyna Mitrus 52d53d187d
Enable reshape sequence fusion transformation based target shape bounds (#9886)
* Calculate value bounds in ReshapeSequenceFusion

* Reashape fusion upper bounds check

* Revert last return to false

* Add transformation unit tests

* Use output node as check param

* Use evaluate helper and remove deprecation macro

* Header update

* Checks refactor and comments

* Update unit tests

* Get element type from node_out
2022-02-01 14:51:47 +03:00
.ci [GNA] Refactor and install libGNAConfig.cmake (#9793) 2022-02-01 10:51:07 +03:00
.github [VPU] Rename INTEL_VPU to INTEL_MYRIAD, move thirdparty and vpu_dependencies (#9827) 2022-01-31 16:58:33 +03:00
cmake [CMake] Add debug postfix on mac (#10027) 2022-02-01 12:41:26 +03:00
docs Fix yolov3 documentation (#9901) 2022-02-01 13:12:12 +03:00
licensing Move licensing to docs folder in install package (#9842) 2022-01-21 19:14:02 +03:00
samples New configuration API in set get property (#10012) 2022-02-01 13:05:14 +03:00
scripts [VPU] Rename INTEL_VPU to INTEL_MYRIAD, move thirdparty and vpu_dependencies (#9827) 2022-01-31 16:58:33 +03:00
src Enable reshape sequence fusion transformation based target shape bounds (#9886) 2022-02-01 14:51:47 +03:00
tests Moved memory tests to OV API 2.0 (#9924) 2022-02-01 14:36:05 +03:00
thirdparty Bump OMZ version (fix for pip-conflicts & wheels on Win & Mac) (#9987) 2022-01-28 16:45:28 +03:00
tools [MO] fix simplified MO import for PyCharm Debug (#9866) 2022-02-01 13:14:48 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +03:00
.gitmodules [GPU] Moved onednn_gpu to plugin folder (#9458) 2021-12-29 11:06:14 +03:00
CMakeLists.txt [VPU] Rename INTEL_VPU to INTEL_MYRIAD, move thirdparty and vpu_dependencies (#9827) 2022-01-31 16:58:33 +03:00
CODEOWNERS [VPU] Rename INTEL_VPU to INTEL_MYRIAD, move thirdparty and vpu_dependencies (#9827) 2022-01-31 16:58:33 +03:00
install_build_dependencies.sh Update year to 2022 in copyright notice (#9755) 2022-01-19 01:07:49 +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 fix errors in documentation (#9384) 2022-01-27 19:39:49 +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:

Support

Please report questions, issues and suggestions using:


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