* [MO][TF] Fixed TFSliceToSlice conversion error on Win, replaced int32_max with ShapeOf, minor correction in comments
* review apply: added create_op_with_const_inputs
* review apply: renamed variables, updated typehints for int64_array, float_array, float32_array
* renamed to correct_ends
* returned back check_op_attrs=True
* Added operation ConvertLike to the MO
* Fixed transformations with Pad which insert Const with pad value of incorrect type
* Added constant folding to ConvertLike operation
* Fixed unit tests for Pad transformations to include ConverLike operations
* Update copyright year
* nGraph code style fix
* Added OV_ITT_SCOPED_TASK for ConvertLike constant folding
* Added script that check IE existance
* Updated install_prerequisites.sh to check and insall IE python dependency
* Execute MOC transformation pipeline in subprocess
* Updated path to offline_transformations.py
* Updated IE dependency search; added libs search support
* Updated install_prerequisites.bat to check IE dependency
* Print warning if MO and IE versions do not match
* Set env before subprocess run
* Add mean and meta info to serialized IR
* Fix pylin import issue
* Update BOM file; added intel headers
* use default serialization; code style fix
* Codestyle
* Added subprocess timeout
* Check e2e status
* Update install_prerequisites.sh logic
* Update MO version to be generated even without cmake execution
* Update install_prereq to extract release version from python
* Simplify pyhton code
* Reduce memory consumtion to its original value
* Added OV find and search logic for windows batch script
* Remove model reading to avoid excess memory consumtption
* IMproved logging messages; simplified code
* Improved warnign message incase when MO and IE versions mismatch
* Fix test import
* Check IE bindings in the beginnig of MO pipeline
* Changed warning message; added RelWithDebInfo path
* Recomendation to build IE from source
* Resolve PR comments
* Apply review comments; Added CheckAPI pass
* Added path to IE local libs
* ModelOptimizer -> Model Optimizer (+IE)
* OpenVINO -> OpenVINO (TM) Toolkit
* Updated install_prerequisites.bat with new logic
* Move offline_transformations.py to back folder; improve warning mesages experience
* Update install_prerequisites.bat
* Move back some unnecessary changes
* Fix BOM
* Disable import errors for pylint
* Fixed grammar in messages
* pylint disable import error
* Final grammar fixes in bat and sh files
* Added TF broadcast_to extractor
* updated Supported_Frameworks_Layers.md
* corrected name
* corrected op name in Supported_Frameworks_Layers.md
* added a space after BroadcastTo in Supported_Frameworks_Layers.md
* Commit.
* Fixed element type of scales input in the MO transformation UpsampleToResample.
* Fixes in the transformation TFSliceToSliceReplacer.
* Fixes in tests.
* Small fixes.
* Reverted fixes in TFSliceToSliceReplacer.
* Small fix.
* Added tests for fractional scales in the transformation UpsampleToResample.
* Added attributes save modes
* Added tensor names to IR
* Reformat code
* Add support for tensor names in MO IR Reader
* Unit tests and code refactoring
* Fixed error
* Code refactoring
* Code refactoring
* Code refactoring
* Error fixed
* Error fixed
* Bug fixed
* Bug fixed
* Additional unit tests and comments
* Small update
* Update fake infer function
* Update names restoring
* optimize imports
* Add support for old-style constants and for commas in reader
* Added dest mode in Fuse Mul
* Update default values
* Fix missed debug info in some specific cases
* Fix a lot of issues with missedand wrong names provoding
* Resolve review comments
* Update test IR's
* Refactor and simplify code
* More simplification
* Remove unneccessary changes
* model-optimizer/mo/utils/ir_reader/layer_to_class_test.py
* Add separate tests for names restoring
* Update copyright year
* Apply review comments
Co-authored-by: Anastasia Popova <anastasia.popova@intel.com>
* fix ss
* successfully converted
* successfully run moved infer and normalizer unit-tests
* successfully rewritten StridedSlice infer unittests
* int64 array
* Successfully converter crash-when-loading, xj_feauture and toy nets (cherry-picked maxpoolV4 and tf_broadcast_ext)
* successfully moved PermuteAttrs to general mechanism
* successfully converted xj_feauture and crash when loading with the new rewritten SS infer
* fixed get_shape_from_slice and moved to common utils
* fixed extending masks and some other
* some refactoring
* fixed extending masks in extractor, fixed licence year and some other code clearing
* corrected a couple of unittests
* fox permute for 5 rank slice and 4 rank inputs/
* WIP
* Added comments
* fixed StridedSlice in ProposalMutation.py
* rechecked shape_infer unittests added some new cases
* added shape_infer unit-tests after StridedSliceNormalizer pass and Permute unit-tests
* corrected unittests
* Applied review comments
* general permutations for inputs implemented, corrected ellipsis unrolling when shrink_axis is at the beginning, some other corrections
* removed code duplication in infer and normalizer, moved 'slices' attr normalizing to StridedSliceNormalizer.py
* removed some code duplication and other minor improvements
* Added tests
* minor corrections
* wider range of unittests added (froze the number)
* review comments applied
* enabled skipped unit-test
* comment corrections
* applied review comments: changed op -> type, added some asserts, corrected comments and other minor corrections
* sorted inputs, updated Supported_Frameworks_Layers.md, some minor
* 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
