Yasunori Shimura 15d6a0ff48 DPC++ link error workaround. (#4192)
* DPC++ link error workaround.

OpenVINO C++ program failed to link when DPC++ compiler is used.
'make_shared_blob' causes 'unresolved external symbol' error on linking.
Commented out some __clang__ specific directives to workaround the issue in "ie_blob.h".

* DPC++ compatibility issue fix #2

1. Removed type-by-type template class definition for __clang__.
2. Modified TBlob() destructor. The 'unresolved reference' error occur again if I left 'virtual ~TBlob();' only. It seems it needs to be 'virtual ~TBlob() {};'.

* DPC++ compatibility fix #3 - Add DPC++ conditional code

Uses '__SYCL_COMPILER_VERSION' predefined macro to check if the compiler is a DPC++ or not.
Added conditional directive to switch code based of the detected compiler.
NOTE: User program must include <CL/sycl.hpp>, or the '__SYCL_COMPILER_VERSION' macro won't be defined and this fix won't take effect.

* DPC++ compatibility issue fix #4

Changed from #ifdef to #if + logical formulas.

* DPC++ compatibility issue fix #5

Added compiler check logic in src/ie_rtti.cpp

* DPC++ Compatibility issue #6 - ie_parameter.cpp

Added compiler check macro for DPC++ to ie_parameter.cpp as well.

Co-authored-by: Yasunori Shimura <yasunori.shimura@intel.com>
2021-02-13 08:44:25 +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 - Deep Learning Deployment Toolkit repository

Stable release Apache License Version 2.0 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*.

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