OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Mikhail Nosov 846d1e0467
[OV2.0+Bugfix] Layout serialization + Fix caching issues with auto-generated friendly names (#8153)
* Fix caching issues with auto-generated friendly names

Introduce "HashPass" to calculate hash like a serialize but without auto-generated friendly names
IE Compilation context: use HashPass to calculate hash of ov::Function
IE Compilation context tests: removed "friendly names" from tests
Layout: serialization support + tests
Parameter/Result: update set/get_layout according to layout changes

* Fix clang

* Tiny correction of CmakeLists

* Renamed VariantWrapper<Layout> to LayoutAttribute
Removed test for conversion from/to fully dynamic layout (allowed now and does nothing)
'set_layout' - remove layout runtime info if empty layout is passed. This allows hashes to be the same if set_layout(param->get_layout()) is called

* Fix build

* change size_t to uint64_t for hash value
Using size_t leads to high probability of conflict for 32-bit platforms

* Removed debug print

* Fix hash calculation for 32-bit platforms

* Fix review comment
2021-10-27 21:05:06 +03:00
.ci Add Jenkinsfile for POT (#8179) 2021-10-26 23:05:53 +03:00
.github [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
cmake Fixed ENABLE_NCC_STYLE condition (#8092) 2021-10-20 09:01:59 +03:00
docs [OV20] Enable OpenCV tests and support 'u8' type for Interpolate op (#8182) 2021-10-27 20:56:43 +03:00
inference-engine [OV2.0+Bugfix] Layout serialization + Fix caching issues with auto-generated friendly names (#8153) 2021-10-27 21:05:06 +03:00
licensing [Speech sample] Added numpy array support (#5479) 2021-06-03 12:22:06 +03:00
model-optimizer Unification of layout and data types of Parameter and Result in MO (#7630) 2021-10-27 03:24:54 +03:00
ngraph [OV2.0+Bugfix] Layout serialization + Fix caching issues with auto-generated friendly names (#8153) 2021-10-27 21:05:06 +03:00
openvino Fixed dlerror KW issue (#8184) 2021-10-25 13:46:31 +03:00
runtime Made ov::runtime::Tensor strides to be in bytes (#8078) 2021-10-21 22:35:58 +03:00
samples [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
scripts Add rhel8 support (#8129) 2021-10-21 14:13:41 +03:00
tests Unification of layout and data types of Parameter and Result in MO (#7630) 2021-10-27 03:24:54 +03:00
thirdparty [GPU] Update OneDNN submodule to 2.4.1 version (#8119) 2021-10-21 11:38:31 +03:00
tools [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [POT] Added missed file to POT (#8118) 2021-10-21 11:28:26 +03:00
.gitmodules Moved Post-training Optimization Tool to open-source (#7940) 2021-10-15 16:35:35 +03:00
CMakeLists.txt [Python API] Move samples and docs to the new directory (#7851) 2021-10-14 14:49:35 +03:00
CODEOWNERS CODEOWNERS: Remove openvino-admins from scripts 2021-10-05 09:41:01 +03:00
install_build_dependencies.sh Added reporting of unresolved symbols for plugins (#7810) 2021-10-05 04:26:01 +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 [Docs] Add PyPI downloads badge (#7610) 2021-09-23 09:30:57 +00:00
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.