Shoujiang Ma 90a18d9cef [AUTO] Implement auto-plugin limited devices feature (#5545)
* Update SelectDevice policy in auto plugin

Signed-off-by: Zhengtian Xie <zhengtian.xie@intel.com>

* Implement limit device list for AUTO plugin

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Add tests for AUTO limit device feature

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Add gpu tests for auto-plugin

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Fix CI cpuFuncTests issue due to BATCHED_BLOB

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Override LoadNetwork(modelPath, config) in AUTO plugin

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Update SelectDevice() logic for LoadNetwork(model, config)

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Update GetNetworkPrecision logic for auto-plugin

Signed-off-by: Zhengtian Xie <zhengtian.xie@intel.com>

* Address reviewers' comments

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Add tests for AUTO:GPU,CPU case

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Update logic in GetNetworkPrecision for auto-plugin

Signed-off-by: Zhengtian Xie <zhengtian.xie@intel.com>

* Address reviewer's comment: clean and simplify code

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Fix wrong usage of convolution weight index

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Address reviewer comment: fix get network precision logic

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Fix rebase issue

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

* Fix ie_core.cpp header change

Signed-off-by: Shoujiang Ma <shoujiang.ma@intel.com>

Co-authored-by: zhengtian.xie <zhengtian.xie@intel.com>
2021-05-19 23:47:54 +03:00
2021-05-17 21:02:56 +03:00
2021-05-19 22:21:51 +03:00
2020-07-20 17:36:08 +03:00
2018-10-16 13:45:03 +03:00
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)

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.

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