* Merge onnx_importer to onnx_ngraph_frontend
* address review comments
* use onnx_ngraph_frontend in docs/template_extension
* link onnx_ngraph_frontend instead of onnx_importer
* switch onnxruntime branch to rel-1.8.1_ov_2022.1 in https://github.com/intel/onnxruntime
* Remove pip install cmake since the 1.8.1 release doesnt require it
* add alias
* set IMPORTED_GLOBAL
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
* Release mo dev guide refactoring (#3266)
* Updated MO extension guide
* Minor change and adding svg images
* Added additional information about operation extractors. Fixed links and markdown issues
* Added missing file with information about Caffe Python layers and image for MO transformations dependencies graph
* Added section with common graph transformations attributes and diagram with anchor transformations. Added list of available front phase transformations
* Added description of front-phase transformations except the scope-defined and points defined. Removed legacy document and examples for such transformations.
* Added sections about node name pattern defined front phase transformations. Copy-pasted the old one for the points defined front transformation
* Added description of the rest of front transformations and and all middle and back phase transformations
* Refactored Legacy_Mode_for_Caffe_Custom_Layers and updated the Customize_Model_Optimizer with information about extractors order
* Added TOC for the MO Dev guide document and updated SVG images with PNG ones
* Fixed broken link. Removed redundant image
* Fixed broken links
* Added information about attributes 'run_not_recursively', 'force_clean_up' and 'force_shape_inference' of the transformation
* Code review comments
* Added a section about `Port`s
* Extended Ports description with examples
* Added information about Connections
* Updated MO README.md and removed a lot of redundant and misleading information
* Updates to the Customize_Model_Optimizer.md
* More updates to the Customize_Model_Optimizer.md
* Final updates for the Customize_Model_Optimizer.md
* Fixed some broken links
* More fixed links
* Refactored Custom Layers Guide: removed legacy and incorrect text, added up-to-date.
* Draft implementation of the Custom layer guide example for the MO part
* Fixed broken links using #. Change layer->operation in extensibility documents
* Updated Custom operation guide with IE part
* Fixed broken links and minor updates to the Custom Operations Guide
* Updating links
* Layer->Operation
* Moved FFTOp implementation to the template extension
* Update the CMake for template_extension to build the FFT op conditionally
* Fixed template extension compilation
* Fixed CMake for template extension
* Fixed broken snippet
* Added mri_demo script and updated documentation
* One more compilation error fix
* Added missing header for a demo file
* Added reference to OpenCV
* Fixed unit test for the template extension
* Fixed typos in the template extension
* Fixed compilation of template extension for case when ONNX importer is disabled
Co-authored-by: Alexander Zhogov <alexander.zhogov@intel.com>
* 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
* Fix build issue
Why:
* Enable to build OpenVINO.
This change addresses the need by:
* Adding include directories,
* Removing IE::inference_engine_c_api dependency.
* Remove IE::inference_engine_nn_builder reference.
Why:
* Enable to build OpenVINO.
This change addresses the need by:
* Removing IE::inference_engine_nn_builder dependency.
Co-authored-by: Ilya Lavrenov <ilya.lavrenov@intel.com>
