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* Add tests, examples and documentation changes for custom ONNX operators registration mechanism * Change snippet paths * fix CoreThreadingTests.ReadNetwork - data race in ops_bridge * Make TemplateExtension::Operation externally visible * changes after review * apply code format * use std::int64_t * forward declare get_attribute_value specializations * introduce unregister_operator in onnx_importer * onnx_custom_op - lock mem first then take a buffer * func tests - create template_extension via make_so_pointer * fix build with NGRAPH_ONNX_IMPORT_ENABLE=OFF * remove exports from Operation and Extension * Move multithreaded AddExtension test to different directory to it can be excluded when NGRAPH_ONNX_IMPORT_ENABLE=OFF * Dont include Extension tests if ENABLE_MKL_DNN=OFF * fix excluding onnx_reader tests * include extension tests only if mkl is enabled * add comment on empty blob * use register_operator conditionally in template_extension * fix docs after review * create static library from onnx_custom_op * add additional test for unregister_operator * move model example after register step * revert changes to unit tests * update ngraphConfig.cmake.in header * add headers to onnx_custom_op * changes to docs CMakeLists * remove redundant onnx_importer dependency * remove extension directory from func tests * make onnx_importer a component of ngraph package * docs fixes * update header of ngraph/cmake/share/ngraphConfig.cmake.in with ngraph_onnx_importer_FOUND
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Build Extension Library Using CMake*
Inference Engine build infrastructure provides the Inference Engine Package for application development.
To build an extension library, use the following CMake script:
@snippet template_extension/CMakeLists.txt cmake:extension
This CMake script finds the Inference Engine and nGraph using the find_package CMake command.
To build an extension library, run the commands below:
$ cd template_extension
$ mkdir build
$ cd build
$ cmake -DInferenceEngine_DIR=[IE_DIR] -Dngraph_DIR=[NGRAPH_DIR] ../
$ cmake --build .