OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Go to file
Mikhail Nosov 4e4b04bbd3
LSTMSequence/GPUSequence - fix validate_and_infer_types (#9996)
* Fix LSTMSequence/GPUSequence validation behavior consistent with RNNSequence

Fixed issue with no exception if num_directions=2, but 'm_direction' is not set to BIDIRECTIONAL. Previously there was no error with this (and luckily it failed later in some CPU transformations during compile_network)

Corrected several tests which use copy-pasted num_directions=2 without m_direction set
Also for dynamic 'num_directions' - output shape still has 1 or 2 directions, because m_direction is known. Tests for GRU/LSTM are updated for this
Also several tests worked incorrectly for LSTMv0 - expectation was specific error to be thrown, but no expection was also allowed

* Fixed clang-format
2022-01-31 08:24:43 +03:00
.ci Azure CI Win: Update pool to D8S (#9963) 2022-01-27 19:35:24 +03:00
.github fix errors in documentation (#9384) 2022-01-27 19:39:49 +03:00
cmake fix errors in documentation (#9384) 2022-01-27 19:39:49 +03:00
docs ROI tensor support for Template plugin (#9914) 2022-01-29 10:52:52 +03:00
inference-engine [IE][VPU]: Don't compile myriad custom layers and tools for ARM (#9912) 2022-01-26 16:30:32 +03:00
licensing Move licensing to docs folder in install package (#9842) 2022-01-21 19:14:02 +03:00
samples Speech sample improvements (#9985) 2022-01-28 16:13:51 +03:00
scripts [Scripts][Driver] Updated script logic with approved for 2022.1 driver (#9801) 2022-01-21 13:38:51 +03:00
src LSTMSequence/GPUSequence - fix validate_and_infer_types (#9996) 2022-01-31 08:24:43 +03:00
tests [OMZ]: try update submodule (#9830) 2022-01-25 13:29:30 +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] EmptyTensorList transform (#9361) 2022-01-28 20:53:16 +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 Removed old cmake scripts (#9876) 2022-01-26 14:24:30 +03:00
CODEOWNERS [Python API] Move old python bindings (#9134) 2022-01-24 13:16:07 +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.