15d6a0ff48
* 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> |
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| ngraph | ||
| openvino | ||
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| tests | ||
| thirdparty | ||
| tools | ||
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| CODEOWNERS | ||
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| SECURITY.md | ||
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
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:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Additional OpenVINO modules: https://github.com/openvinotoolkit/openvino_contrib
- HomePage
- OpenVINO™ Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvinotag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.