* Add on_adapter(Function) for serialization.
* Add port_map and back_edges serialization.
* Add 2 unit tests for TI serialization.
* Convert lambda expression into function pointer.
* Add single layer test for tensor iterator.
* Add limitation for file name length during serialization.
* Add file name length limitation for Serialize().
* Add WA for LSTMCell v0 in serialize class, new test class for TI serialization with dynamic weights, add bin path to SerializationParams, replace call to ngfunction_2_irv10 with visitor.on_attribute().
* Remove hacks for TI from ngfunction_2_irv10(), validate buffers in port_map.
* Changed year in new added test files.
* Add check for version of LSTMv0 WA, add assert for model read from file.
* Remove append_copy for xml Function, changed comparison for LSTMvo WA.
* Update second WA for LSTMCell v0 with version check.
* Remove find_child when searching for port_map and back_edges.
Before this patch constant with weights could be not detected if
it wasn't directly connected to Conv/Deconv layer.
Now weights always uses common data format (bfzyx) in the plugin which is
converted into weights format later (goiyx, oiyx, etc), so weights sub-graph
can now contain anything
* Commit.
* Started to write nGraph operation ExperimentalDetectronDetectionOutput. Written draft of the header file.
* Written draft of the cpp-file for nGraph operation ExperimentalDetectronDetectionOutput.
* Small fix.
* Added reading of ExperimentalDetectronDetectionOutput as nGraph operation.
* Some fix.
* Unregistered old shape infer function of the operation ExperimentalDetectronDetectionOutput.
* Written the header file for the operation ExperimentalDetectronPriorGridGenerator.
* Small refactoring.
* Small fix.
* Added set_output_size(3) into op::ExperimentalDetectronDetectionOutput::validate_and_infer_types().
* Added check for number of inputs of ExperimentalDetectronDetectionOutput.
* Reverted some changes.
* Changed IR for ExperimentalDetectronDetectionOutput serialization test.
* Written cpp-file of nGraph operation ExperimentalDetectronPriorGridGenerator.
* Small fix.
* Some fixes.
* Fixes in type and shape infer functions of the MO operation ExperimentalDetectronDetectionOutput.
* Now ExperimentalDetectronPriorGridGenerator is readed as nGraph operation.
* Fixed the infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator.
* Started to write tests for the shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput.
* Written the draft of the test for the shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput.
* Small fix.
* Fixed ngraph/test/CMakeLists.txt.
* Started to write tests for the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator.
* Now the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator performs correctly case dynamic input shapes with static ranks.
* Continued to write test for the nGraph operation ExperimentalDetectronPriorGridGenerator.
* Small fixes.
* Written tests for the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator (case when input shapes are partially dynamic).
* Added test for reading ExperimentalDetectronDetectionOutput as an operation from opset6.
* Some fixes.
* Added some debug outputs.
* Deleted inserted debug output.
* Small fixes.
* Small fix.
* Small fix.
* Small change.
* Added comments to attributes of ExperimentalDetectronDetectionOutput.
* Reverted changes.
* Deleted shape infer for output port 3.
* Small fixes.
* Deleted redundant keyword 'virtual'.
* Deleted redundant usings in header files of nGraph operations ExperimentalDetectronDetectionOutput and ExperimentalDetectronPriorGridGenerator.
* Some fixes.
* Small change.
* Now GridGenerator::validate takes three args (input partial shapes).
* Small fix.
* Deleted some usings.
* Small code style fix.
* Reverted changes in validate_and_infer_types() and validate() of op::v6::ExperimentalDetectronPriorGridGenerator.
* Added description of the class ExperimentalDetectronDetectionOutput.
* Added some comments into the header file of the nGraph operation ExperimentalDetectronPriorGridGenerator.
* Some fixes.
* Added some comments to the class of the nGraph operation ExperimentalDetectronPriorGridGenerator.
* Now the MO operation ExperimentalDetectronDetectionOutput has the attribute 'version' as 'opset6'.
* Now the MO operation ExperimentalDetectronPriorGridGenerator has the attribute 'version' as 'opset6'.
* Some fixes in the MO class ExperimentalDetectronDetectionOutput.
* Fixes in the shape infer function of the nGraph operation ExperimentalDetectronPriorGridGenerator.
* Renamed test XML model for ExperimentalDetectronDetectionOutput serialization tests.
* Added validation of input shapes for the nGraph operation ExperimentalDetectronDetectionOutput.
* Small fixes in the XML models for serialization testing of ExperimentalDetectronDetectionOutput.
* Added tests of shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput for the case when input shapes are partially dynamic.
* Added tests of shape infer function of the nGraph operation ExperimentalDetectronDetectionOutput for the case when some input shapes have dynamic ranks.
* Small fixes.
* Small fix in the MO operation ExperimentalDetectronDetectionOutput shape infer function.
* Fixes in op::v6::ExperimentalDetectronDetectionOutput::validate_and_infer_types().
* Code style fix.
* Small refactoring.
* Added NGRAPH_OP_SCOPE into ExperimentalDetectronDetectionOutput nGraph class.
* Added NGRAPH_OP_SCOPE to the nGraph class ExperimentalDetectronPriorGridGenerator.
* Small fixes.
* Some refactoring.
* Small fix.
* Small fixes.
* Reverted some changes in ExperimentalDetectronDetectionOutput::validate_and_infer_type().
* Now VPU reads the attribute class_agnostic_box_regression of ExperimentalDetectronDetectionOutput as Bool.
* Now MO generates attribute 'class_agnostic_box_regression' of ExperimentalDetectronDetectionOutput only with values false or true.
* Small fix.
* Tabs were replaced by spaces in some XMLs.
* Fixed copyrights.
* Refactoring in op::v6::ExperimentalDetectronDetectionOutput::validate_and_infer_types().
* Refactoring in op::v6::ExperimentalDetectronPriorGridGenerator::validate_and_infer_types().
* Small fixes.
* Started to write ExperimentalDetectronPriorGridGenerator shape infer tests for the case when dynamic input dimensions are intervals.
* Deleted redundant 'return'.
* Written tests for interval values of input shapes of op::v6::ExperimentalDetectronPriorGridGenerator.
* Code style fix.
* Code style fix.
* Added offline transformations library
* Added python API for calling MOCTransformations
* Added CF flag for MOC Transformations
* Divided offline api to separate independent module
* Update MOC pipeline to execute only fusions
* Disable CF for PriorBox ops
* Clean-up
* Added python test
* Removed transformation pipeline as it is not ready yet
* Remove not related to this PR changes
* Fixed build for dev package case; renamed to offline_transformations_api
* Removed unrelated changes
* Removed excess exports from cmake
* Removed useless custom command from cmake
* Bucketize: Revise op class and add type_prop unit tests
* Bucketize: Develop reference implementation
* Bucketize: Add unit tests
* Bucketize: Add single layer test and cpu instantiation
* Bucketize: Add unit test with empty buckets for INTERPRETER
* Bucketize: Typo in buckets element type check
* Bucketize: Add custom generated inputs in single layer test class
* Bucketize: Use random_device to generate seed for data blob
* Bucketize: Remove unsupported f64 precision
* Bucketize: Add function description
* Bucketize: Remove randomness of inputs generation by using static seed
* Bucketize: Support different precisions for data and bucket inputs
* Bucketize: Refactor type_prop tests and improve backend unit test coverage
Enable tests including rectangular kernel and multiple kernels
Pad filters to 16B
Fix style space after if before ( needed
Fix PRETTY_FUNCTION double def
Fix canMatchWith1AsyncThread
Fix ifdefs for gna 2.0
Add and fix mock
Simplify and fix condition for Rotate features
Refine commnets in GNA CONV tests file
Apply review, Refactor ConvolutionPrimitive
Refine CNN enforce legacy
Add debug print
Move debug dump definitions
Add new metric for GNA library version
Add coments on FP32
* Initial moving
* ONNX Importer is private now - CMakeLists.txt
* ONNX Importer is private now - Includes
* Make some files visible
* Style apply
* Review fix
* Public headers have a prefix now
* Style
* hide more headers
* regionyolo do_softmax attribute
* add serialization single layer tests for normalizel2 and reshape
* add prelu sslt, change letter size in op name to align with MO
* add shufflechanels sslt, add workaround to serialize the op with proper opset number
* add broadcast sslt, change attribute string representations to lowercase
* add pad sslt, change attribute string representations to lowercase
* Unify sslt name prefixes
* add prelu name translation for serialization
* change expected type of regionyolo do_softmax attribute to bool
* transform autobcast type attr to lowercase, add unit test, add special opset mapping in serialization
* style fix
* fix indentation
* fix indentation 2
* Possibility of different opset assignment for different op versions
* Update header dates in modified files
* Match special opset to type_info_t instead of a string
* Adjust the comment to match the code
* 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>
