OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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mei, yang 0bede45eb1
Meiyang/fix cvs58539 (#8217)
* reshape conv filter with gather in ngraph paddle front end

* use unsqueeze for broadcasting in elementwise ops in ngraph paddle frontend

* support dynamic input for paddle elementwise ops

* add annotation

* use general opset in paddle elementwise op

* Revert "use general opset in paddle elementwise op"

This reverts commit ff552d2efe47286910df9876e1b0d97ff6301695.

* Revert "add annotation"

This reverts commit b2e16633c192bddfb94963465d175f98fdad1719.

* Revert "support dynamic input for paddle elementwise ops"

This reverts commit a30a93f5b80f0a88064112e498f83eb9b22aa4bd.
use general opset in paddle elementwise op

* fix clang issue

* Add annotation to get_reshaped_filter() and rename some variable in get_reshaped_filter()

* handle broadcast of paddle elementwise with AutoBroadcastType::PDPD

* link inference_engine_transformations lib to paddle frontend

* Disable op sequence fusion when PDPD broadcast

* Revert "Disable op sequence fusion when PDPD broadcast"

This reverts commit 9172078e76317fb92507025478cf06f4ddc5b87d.

* Revert "handle broadcast of paddle elementwise with AutoBroadcastType::PDPD"

This reverts commit fc8d57ecb58f68f27bed1b8ba537af9a6737a4f6.

* fix merge issue
2021-12-02 13:17:17 +03:00
.ci [GPU] Move plugin to new source dir (#8890) 2021-11-30 17:26:09 +03:00
.github Rename runtime to src (#8842) 2021-11-27 11:28:25 +03:00
cmake Revert "disable debug postfix on mac (#6827)" (#8974) 2021-12-02 12:30:01 +03:00
docs [GPU] Renamed GPU plugin to ov_intel_gpu_plugin (#8957) 2021-12-02 11:06:00 +03:00
inference-engine [GPU] Rollback to cldnn from onednn and some fixes and improvements (#8761) 2021-12-02 11:28:38 +03:00
licensing Add licensing folder to cmake install (#8948) 2021-12-01 11:42:52 +03:00
model-optimizer [PYTHON API] move frontend bindings to pyopenvino + move MO to use new Python API (#8301) 2021-12-01 21:31:16 +03:00
samples Fix infer model with non 2d tensors (#8752) 2021-12-02 10:59:53 +03:00
scripts Rename runtime to src (#8842) 2021-11-27 11:28:25 +03:00
src Meiyang/fix cvs58539 (#8217) 2021-12-02 13:17:17 +03:00
tests Correct ReverseV2ToReverseSequence transformation (#8120) 2021-11-29 15:29:00 +03:00
thirdparty Add nlohmann json (Release 3.10.4) as submodule (#8915) 2021-12-02 10:41:36 +03:00
tools Add requirements files generation for installer (#8940) 2021-12-02 11:54:38 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore Removed temp from inference-engine folder, added OV_TEMP cmake option (#8667) 2021-11-24 08:37:26 +03:00
.gitmodules Add nlohmann json (Release 3.10.4) as submodule (#8915) 2021-12-02 10:41:36 +03:00
CMakeLists.txt Don't install content of openvino-dev; install wheels (#8820) 2021-12-01 14:34:50 +03:00
CODEOWNERS [GPU] Move plugin to new source dir (#8890) 2021-11-30 17:26:09 +03:00
install_build_dependencies.sh Enabled proper OpenVINOConfig.cmake generation for static build (#8634) 2021-11-20 02:27:43 +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 2021.4.2 2021-11-16 22:12:20 +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.