* Added result rename operation
* Optimize imports
* Added ResultRename to package_BOM
* ResultRename moved to the end of back phase, code refactoring
* Revert incorrect changes
* Optimize imports
* Added comments and optimized imports.
* Draft implementation of the telemetry sender utility
* Examples of sending telemetry from the MO
* More statistic about the model.
* Intentional broken file to fail Mask-RCNN ONNX model conversion
* Added joined list of ops used
* Added requests to the requrements file and update BOM to include necessary files related to telemetry
* Send telemetry alwasys
* Refactored usage of GUID usage in the telemetry
* Enabled sending telemetry always
* Simplified function "TelemetryBackend.send"
* Use other approach to send information about session to GA
* Added automatic registration of the telemetry backends and allow to choose it during the telemetry class instantiation
* Added "requests" as a requirement. Wrapped usage of requests module to not crash the app
* Added timeout for sending data to GA. Increased the queue size to 1000
* Finalize Telemetry class implementation
* Do not fail MO if non-critical component is not installed and updated Telemetry GA with the default property
* Added sending version to a separate event
* Use default TID to send the data
* Set lower bound for the requests module which does not contain vulnerabilities
Co-authored-by: Evgeny Lazarev <elazarev.nnov@gmail.com>
* Update install_prerequisites.bat
Removed warning language to show that you can optionally install protobuf to speed up model conversion. It should not be a warning.
* Update install_prerequisites.bat
* Refactored infer function and function supported_attrs for the layer Interpolate.
* Small change.
* Deleted unneeded checks in transformations ResizeToInterpolate2D and ResizeToInterpolate3D.
* Small fix in the extractor of ONNX Resize.
* Now the extractor of TF ResizeBilinear generates Interpolate-1 again, because 'axis' in final version of Interpolate-4 specification is an input but is not attribute.
* Now the extractor of TF ResizeNearest generates Interpolate-1 again, because 'axis' in final version of Interpolate-4 specification is an input but is not attribute.
* Added static method get_axis into class Interpolate.
* Refactored class CanBeFused in the transformation InterpolateSequenceToInterpolate.
* Fixed transformation InterpolateSequenceToInterpolate according to the last version of the specification of Interpolate-4.
* Started to write support of Interpolate-4 in the transformation InterpolateWithConcat.
* Added support for Interpolate-4 into the transformation InterpolateWithConcat.
* Added support for Interpolate-4 into the transformation InterpolateConcat.
* Added support for Interpolate-4 into the transformation InterpolateReshapeWA.
* Added support for Interpolate-4 into the transformation InterpolateTranspose.
* Started to add test for opset4 case of the transformation InterpolateSequenceToInterpolate.
* Added test for InterpolateSequenceToInterpolate (test_2d_interpolate_sequence_1_opset4_case).
* Added test for InterpolateSequenceToInterpolate (test_2d_interpolate_sequence_4_opset4_case).
* Added another test for InterpolateSequenceToInterpolate (test_2d_interpolate_sequence_5_opset4_case).
* Added another test for InterpolateSequenceToInterpolate (test_3d_interpolate_sequence_1_opset4_case).
* Finished addition of tests for opset4 case of InterpolateSequenceToInterpolate.
* Small change.
* Now opset is only opset1 or opset4 in the transformation InterpolateTranspose.
* Small fixes in transformations ResizeToInterpolate2D and ResizeToInterpolate3D.
* Deleted reading of unused ONNX attributes.
* Fixed docstring of the transformation InterpolateV1ToInterpolateV4.
* Added node name in assert about axes input.
* Fixes in the definition of the operation ONNXResize11.
* Now Interpolate-4 cannot have 'extension' as opset.
* Now the transformation InterpolateV1ToInterpolateV4 uses find_and_replace_pattern but not replace_sub_graph.
* Fixed tests for transformations InterpolateReshapeWA and InterpolateConcat.
* Fixed some tests.
* Rewritten operation Interpolate-4 class according to new variant of documentation.
* Some fixes in ONNXResize11 operation class.
* Now the transformation ONNXResize11ToInterpolate generates Interpolate-4 with 4 inputs.
* Now the transformation UpsampleToResample generates Interpolate-4 with 4 inputs.
* Now the transformation NearestNeighborUpsampling generates Interpolate-4 with 4 inputs.
* Now transformations ResizeToInterpolate2D and ResizeToInterpolate3D generate Interpolate-4 with 4 inputs.
* Now the transformation SplitConcatPairToInterpolate generates Interpolate-4 with 4 inputs.
* Now the transformation UnsqueezeTileReshapeBlockToInterpolate generates Interpolate-4 with 4 inputs.
* Now the transformation InterpolateV1ToInterpolateV4 generates Interpolate-4 with 4 inputs.
* Some fixes.
* Fixed the transformation InterpolateSequenceToInterpolate according to new variant of Interpolate-4 specification.
* Fixed typos.
* Added shape_calculation_mode to supported_attrs.
* Small fixes.
* Added operation ONNXResize10 and the transformation ONNXResize10ToInterpolate4.
* Fixed function correct_scales_using_dst_shape.
* Some fixes in InterpolateSequenceToInterpolate.
* Fixed bug in the method __call__ of the class CanBeFused: now self.accumulated_axes is correctly cleared in all cases.
* Small change.
* Fixed tests for the transformation SplitConcatPairToInterpolate.
* Now transformations InterpolateWithConcat, InterpolateReshapeWA, InterpolateConcat support Interpolate-4.
* Fixed the transformation InterpolateTranspose for the case of Interpolate-4.
* Written the back transformation InterpolateV4AxesCorrection to convert 'axes' input of Interpolate-4 from NHWC to NCHW layout.
* Added PermuteInput in Interpolate-4 infer.
* Fixed typos.
* Deleted the transformation InterpolateAxesCorrection.
* Now Interpolate-4 permutes axis, not shape in input port 3.
* Small fix.
* Some fix.
* Fixed bug in the transformation UpsampleToResample.
* Added some debug prints.
* Added more debug prints.
* Now ONNX Upsample-9 operation is read as ONNXResize10.
* Small fix.
* Small fixes.
* Fixed tests for the transformation SplitConcatPairToInterpolate.
* Deleted debug prints.
* Deleted some debug prints.
* Fixes in the transformation UnsqueezeTileReshapeBlockToInterpolate and its tests.
* Small fix in the transformation InterpolateSequenceToInterpolate.
* Started to write nGraph transformation to convert Interpolate-1 to Interpolate-4.
* Deleted redundant files.
* Small fixes.
* Small fix.
* Written draft of the transformation Interpolate-1 -> Interpolate-4.
* Small fix.
* Now ONNX Importer reads Resize-10 as Interpolate-4.
* Fixes in the test onnx_model_resize10_import_only.
* Small fix in the test for the conversion Interpolate-1 -> Interpolate-4.
* Small fixes.
* Fixed NGraphReaderTests for Interpolate.
* Some fixes.
* Deleted class for Resample operation.
* Fix in the transformation NearestNeighborUpsampling: fixed precision of the input 'scales' of generated Interpolate-4.
* Fixed typo.
* Now the TF operations ResizeBilinear is readed as internal MO operation TFResizeBilinear. This internal operation is converted into Interpolate-4.
* Small fix in BOM-file.
* Added checks of existence of attributes of TF ResizeBilinear operation.
* Small fixes in the conversion of the internal MO operation TFResizeBilinear to Interpolate-4.
* Small fixes.
* Small fixes.
* Now the transformation ONNXResize10ToInterpolateV4 calculates sizes input as input_shape * (scales + epsilon).
* Added the internal MO operation TFResizeNearestNeighbor.
* Fixes in the transformation SplitConcatPairToInterpolate and its tests.
* Fixes in the transformation UnsqueezeTileReshapeBlockToInterpolate and its tests.
* Written the transformation that converts the internal operation TFResizeNearestNeighbor into Interpolate-4.
* Now MO reads the TF operation ResizeNearestNeighbor as the internal MO operation TFResizeNearestNeighbor.
* Small fix.
* Now the specification of Interpolate-4 clarifies that the mode linear_onnx supports only 2D or 4D input tensors.
* Small fix.
* Some fixes.
* Moved the transformation ONNXResize10ToInterpolateV4 to the front stage.
* Deleted infer function and function supported_attrs for ONNXResize10 operation.
* Deleted supported_attrs() for TFResizeBilinear and TFResizeNearestNeighbor.
* Some fixes.
* Fixes in the shape infer function of the nGraph operation Interpolate-4. Now 'axes' input can be non-constant. In the such case, all elements of the output shape are Dimension::dynamic().
* Deleted corner cases processing in transformations TFResizeBilinearToInterpolateV4 and TFResizeNearestNeighborToInterpolateV4.
* Rewritten the function replace_resize_bilinear.
* Written inner MO operation TFResize that covers TF operations ResizeBilinear and ResizeNearestNeighbor.
* Now TF operations ResizeBilinear and ResizeNearestNeighbor are read as an internal operation TFResize in MO. Transformations TFResizeNearestNeighborToInterpolateV4 and TFResizeBilinearToInterpolateV4 are fused into one transformation TFResizeToInterpolateV4.
* Some changes in the shape infer function of nGraph op Interpolate-4.
* Small fix.
* Some changes.
* The transformation TFResizeToInterpolateV4 is moved to the front stage.
* Deleted redundant assert.
* Deleted transformations ResizeToInterpolate2D and ResizeToInterpolate3D.
* Some renaming.
* Small change.
* Deleted .copy() in the shape infer function of the internal operation TFResize.
* Small fix.
* Small fixes.
* Added comment about the case when the input 'axes' of Interpolate-4 is non-constant.
* Written test for Interpolate-4 shape infer, for the case when the input 'axes' is non-constant and shape_calculation_mode = scales.
* Some fixes.
* Small fixes.
* Small fix.
* Added yet another test for the case of non-constant 'axes' input of Interpolate-4 (when shape_calculation_mode = sizes).
* Added some comment.
* Small fix.
* Reverted changes for InterpolateWithConcat.
* Added type checks for all inputs of nGraph operation Interpolate-4.
* Added u32 and u64 to supported element types of sizes and axes inputs of nGraph operation Interpolate-4.
* Fixed some functional tests.
* Some changes.
* Added helper function float32_array.
* Now the MO transformation InterpolateV1ToInterpolate preserves names of layers.
* Small fix.
* Small fix.
* Reverted some change.
* Small fixes.
* Small fix.
* Small fix.
* Small fix.
* Small fix.
* Reverted changes in the nGraph reader tests for Interpolate-1.
* Some revert.
* Fixed some copyright year.
* [MO] Implement TensorFlow 2 While support in MO
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add extractors for both While and StatelessWhile and do minor changes
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Improve update_body_graph function and manage graph names properly
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix a map for original name of parameters from body and cond
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement draft version of support of TF2 Keras RNN
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Implement Keras LSTM and GRU support in MO
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Improve code for Keras RNN support
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Finalize implementation of TF2 Keras RNN support in MO
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply the first part of the comments after review #1
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Avoid use of explicit values of port indices in the transformation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Finalize code after the first-round review
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply comments after the second-round review
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Commit.
* Written the header file of the nGraph operation ExperimentalDetectronROIFeatureExtractor.
* Started to write cpp-file for the nGraph operation ExperimentalDetectronROIFeatureExtractor.
* Deleted in_ports_count attribute for the MO operation ExperimentalDetectronROIFeatureExtractor.
* Written validate_and_infer_type() method of ngraph::op::v6::ExperimentalDetectronROIFeatureExtractor.
* Code style fixes.
* Code style fixes.
* Small fixes.
* Code style fixes.
* Now operation ExperimentalDetectronROIFeatureExtractor is read as nGraph operation ExperimentalDetectronROIFeatureExtractor.
* Implemented op::v6::ExperimentalDetectronROIFeatureExtractor::clone_with_new_inputs().
* Added macro NGRAPH_OP_SCOPE to the cpp-file of the nGraph operation ExperimentalDetectronROIFeatureExtractor.
* Fixes in some tests.
* Code style fix.
* Fixed yet another test for ExperimentalDetectronROIFeatureExtractor.
* Added tests for reading ExperimentalDetectronROIFeatureExtractor as operation from opset6.
* Added more test for reading ExperimentalDetectronROIFeatureExtractor as operation from opset6.
* Started to write shape infer tests for the nGraph operation ExperimentalDetectronROIFeatureExtractor.
* Corrected ngraph/test/CMakeLists.txt.
* Small changes.
* Code style fix.
* Small fixes.
* Added ctor of ExperimentalDetectronROIFeatureExtractor with NodeVector as argument.
* Added setting the attribute in_ports_count when the MO operation ExperimentalDetectronROIFeatureExtractor is creating in the MO transformation ONNXMaskRCNNTransformation.
* Added shape infer for the second output of the nGraph operation ExperimentalDetectronROIFeatureExtractor.
* Written shape infer tests for nGraph operation ExperimentalDetectronROIFeatureExtractor (case when input shapes are partially dynamic).
* Small fixes.
* Code style fix.
* Deleted redundant &expected_channels.
* Code style fix.
* Small refactoring.
* Small fixes.
* Small changes.
* Small fixes.
* Deleted attribute distribute_rois_between_levels of ExperimentalDetectronROIFeatureExtractoe.
* Deleted attribute preserve_rois_order of ExperimentalDetectronROIFeatureExtractoe.
* Deleted attribute image_id of ExperimentalDetectronROIFeatureExtractoe.
* Now MO generates attribute 'aligned' of ExperimentalDetectronROIFeatureExtractor only with values 'true' or 'false'.
* Small fix.
* Fix in the conversion of the attribute 'aligned' of MO operation ExperimentalDetectronROIFeatureExtractor to string.
* Tabs were replaced by spaces in some XMLs.
* Tabs were replaced by spaces in ngraph_reshape_tests.cpp.
* Fixed copyrights.
* Applied small patch to IREngine from PR https://github.com/openvinotoolkit/openvino/pull/3814.
* Tabs were replaced by spaces in cnn_ngraph_impl_tests.cpp.
* op::v6::ExperimentalDetectronROIFeatureExtractor::validate_and_infer_types() was rewritten using operator & for channels.
* Added tests for input shapes of op::v6::ExperimentalDetectronROIFeatureExtractor in the case when inputs shapes consist of intervals.
* Fixes in test type_prop.detectron_roi_feature_extractor_intervals.
* 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.
* 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>
* [MO] Implement support of TensorFlow 2 Keras Embedding operation in MO
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update another requirements files
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fixed mapping of input name
* Fixed unit tests
* Fixed mapping of input name
* Fixed unit tests
* attributes check fix
* PEP8 code format
* code duplicate removal
* variable rename
* Set fixed version of the urllib3 package in the requirements because of the security issue in 1.25.8
* Set lower bound version of the urllib3 package in the requirements because of the security issue in 1.25.8
* [MO] Implement transformation to avoid RandomUniform in a particular drop-out block
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove old RandomUniform transformation and correct const values
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix atol value
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Move DropoutWithRandomUniform transformation to the front
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Change just RandomUniform to Broadcast in the transformation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Correct comment for the transformation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove redundant line
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Initial support of GatherElements in MO and nGraph
* apply_style
* added lost extractor for GatherElements
* Corrected GatherElements::validate_and_infer_types
* updated package_BOM.txt
* Type_t added
* started to implement ngraph shape_type_infer unit-tests
* finally implemented all ngraph shape_inference unit-tests
* updated Supported_Frameworks_Layers.md
* added correct handling of dynamic shapes in nGraph, added unit-tests for dynamic cases, fixed dump typos in MO, replaced axis type from int -> int64_t
* implemented shape infer for dynamic shapes with intervals
* finalized MO implementation
* applied comment from review
* style-apply
* spec correction
* removed conflict
* fixed typos
* removed obsolete comments form type_prop
* significant corrections in validate_and_infer_types
* style-apply
* data_rank check for axis
* Config for TF 2.0 Faster R-CNN models, refactored subgraph_between_nodes to use graph API
* Added support for new type of Preprocessing block in the TF 2.0 OD API models. Various fixes to enable the Faster R-CNN ResNet 50
* Updated text comments
* Fixed sub_graph_between_nodes for TensorIteratorMerge. Added support for the TF 2.X EfficientDet models (not yet reshape-able)
* Fixed unit tests
* Fixed regression for TF 1.X OD API SSD model, enabled TF 2.0 OD API SSD models
* Code clean up
* Switched TF 2.0 OD API Faster R-CNN to preprocessor replacement type 2
* Refactored ObjectDetectionAPIPreprocessorReplacement and ObjectDetectionAPIPreprocessor2Replacement
* Fixed bug in the Div transformation to Mul when input is integer.
* Added support for the TF 2.0 OD API Mask R-CNN
* Added unit tests for Div operation. Updated incorrectly modified mask_rcnn_support_api_v1.14.json
* Updated document with list of supported configuration files for TF OD API models
* Review comments
* Added tests for control flow edges for the sub_graph_between_nodes function
* Two more tests
* Fix missed/redundant attrs for some operations
* Align auto_pad attr values in spec
* Update MO IR Reader extenders for appropriate operations
* Allign auto_pad attr values for appropriate operations
* Remove changes in extenders
* Update backend_attrs for some operations
* Changes in shape_infer functions to correct work with explicit mode
* Apply offline comments
* initial commit
* initial commit
* move fix to tf conv_extractor
* added 3d case
* fix e2e with 3d conv
* remove 3d case
Co-authored-by: yegor.kruglov <ykruglov@nnlvdp-mkaglins.inn.intel.com>
Anastasia Popova
Evgeny Lazarev
Maxim Vafin
Evgenya Stepyreva
iliya mironov
Anton Chetverikov
Dmitry Navalny
Roman Kazantsev
Ivan Tikhonov
Pavel Esir
Ryan Loney
Vladimir Gavrilov
Edward ShogulinandEvgenya Stepyreva
Eugeny Volosenkov
Anna Likholat
Anastasia Kazantaeva
Yegor Kruglov
Pavel Esir
