Yuan Hu d50f20b977 Add log utils for Auto plugin (#8309)
* add log utils

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* optimize

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* remove env support in log util

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add IE LOG CONFIG support in auto model

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* Add LOG

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix compile error

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add test

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix set config error

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix code error

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add more log and support no arguments format string

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix some review issue

change name from HDEBUG to LOG_DEBUG and so on
remove redundance code
move log config into log util

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* modify log hpp name

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* try to fix macos support issue

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* enable env AUTO_LOG_LEVEL

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add comment for WaitActualNetworkReady()

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add error log when all device failed

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix rebase issue

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix add log in code cause auto_select_device_failed_test failed issue

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add test code

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* change the Name from AUOT_LOG_LEVEL to OPENVINO_LOG_LEVEL

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* use just GLOB_SOURCES in cmake

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* add singleton test

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* try to fix macos compile issue

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* move printing config info to async loading

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* keep CheckConfig as origin code

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* fix compile issue caused by icore->GetMetric API change

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* use confMutex instead of a new mutex

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>

* try to fix windows compile issue

Signed-off-by: Hu, Yuan2 <yuan2.hu@intel.com>
2021-11-29 16:41:48 +08:00
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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.

Languages
C++ 80.5%
Python 15.5%
C 2.8%
CMake 0.9%
Cython 0.1%