OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
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Wang, Yang 808d6a3dc1
Add default device value for ie.LoadNetwork (#8956)
* [Auto Plugin] Change LoadNetwork api with default deviceName "AUTO" and add corrresponding test case.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Remove the changes for ImportNetwork API.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Update LoadNetwork API.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Update compile_network API for OV2.0.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Modify the visable scope of global value 'DEFAULT_DEVICE_NAME'.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Update the test case for compile_model wit the default device.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Replace the pointer with the string object as the default name of device.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* update.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Add a new test case for compile_model to defatul device.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Add a new test case for compile_model loading network to defatul device.

Signed-off-by: Wang, Yang <yang4.wang@intel.com>

* Add a new test case for compile_model loading network to defatul device.

Signed-off-by: ywang2 <yang4.wang@intel.com>

* Update tese case for LoadNetwork and compile_model.

Signed-off-by: ywang2 <yang4.wang@intel.com>
2021-12-20 19:48:54 +03:00
.ci [MO] Azure CI, unit-test dirs and howto doc fixes (#9146) 2021-12-17 15:56:40 +03:00
.github [MO] Align MO namespaces (#7708) 2021-12-08 08:53:53 +03:00
cmake Create ov_runtime library (#9199) 2021-12-20 11:59:08 +03:00
docs Fixed release oreder (#9218) 2021-12-20 12:11:32 +03:00
inference-engine auto dynamic shape (#8731) 2021-12-20 18:06:50 +03:00
licensing Export frontend_common as dev target (#9003) 2021-12-08 17:18:44 +03:00
samples Moving of C++ speech sample to OpenVINO API 2.0 (#9027) 2021-12-19 20:56:40 +03:00
scripts Exclude DL Streamer installation dependencies from install_dependencies script (#9126) 2021-12-10 02:36:17 +03:00
src Add default device value for ie.LoadNetwork (#8956) 2021-12-20 19:48:54 +03:00
tests [TimeTests] Disable VPU option, rename cache option (#9114) 2021-12-17 13:06:56 +03:00
thirdparty Update POT tests for OMZ location in openvino/thirdparty (#9171) 2021-12-20 09:10:39 +03:00
tools MO: --transform Pruning option (#9304) 2021-12-20 15:55:50 +03:00
.gitattributes [POT] Update tests with new data (#8209) 2021-10-27 12:40:19 +03:00
.gitignore [MO] Align MO namespaces (#7708) 2021-12-08 08:53:53 +03:00
.gitmodules Update POT tests for OMZ location in openvino/thirdparty (#9171) 2021-12-20 09:10:39 +03:00
CMakeLists.txt Remove ngraph backends (#9162) 2021-12-13 00:04:56 +03:00
CODEOWNERS Fixed codeowners (#9283) 2021-12-18 02:03:09 +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:

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Please report questions, issues and suggestions using:


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