* Commit.
* Added opset4 version in the class Interpolate.
* Added class ONNXResize11Op to read ONNX Resize with opset version >= 11.
* Added support for Interpolate-4 into transformations TestInterpolateReshapeWA and InterpolateConcat.
* Added support for Interpolate-4 into transformation InterpolateWithConcat.
* Deleted redundant checks from the transformation UpsampleToResample.
* Reverted last changes.
* Changed ONNX Resize extractor to support for Interpolate-4.
* Added conversion of ONNXResize11Op into Interpolate-4.
* Added support for Interpolate-4 into the transformation InterpolateSequenceToInterpolate.
* Small fix for formatting.
* Written tests for MO version of Interpolate-4 with shape_calculation_mode = sizes.
* Written tests for infer function of Interpolate-4.
* Now transformations InterpolateWithConcat, InterpolateConcat, InterpolateReshapeWA skip Interpolate-4.
* Used create_op_with_const_inputs in the transformation InterpolateSequenceToInterpolate.
* The transformation ONNXResize11ToInterpolate4 was rewritten using find_and_replace_pattern.
* Now the dictionary infers (dictionary of infer functions of Interpolate) is a class static attribute.
* Deleted unused variable.
* Restored original logic of find_and_replace_pattern method of the class InterpolateReshapeWA.
* Used create_op_with_const_inputs() in the transformation InterpolateSequenceToInterpolate for opset1 case.
* Replaced resize_name by resize.soft_get('name', resize.id).
* Small fixes.
* Added two tests for Interpolate-4 infer function.
* Fixed the transformation ONNXResize11ToInterpolateV4 for the case when ONNXResize11 operation has 3 inputs.
* Added conversion of ONNXResize11 with tf_crop_and_resize_mode to ROIPooling + ONNXResize11.
* Fixed bugs in the transformation ONNXResize11ToInterpolateV4 and in the infer function of the operation ONNXResize11.
* Small changes.
* Renamed transformation that converts ONNXResize11 into ROIPooling + ONNXResize11 and fixed BOM-file.
* Fixed tests for the transformation InterpolateSequenceToInterpolate.
* Small change.
* Now the transformation InterpolateSequenceToInterpolate preserves output layer name.
* Deleted the transformation ONNXResize11ToTFCropAndResize.
* Fix fusing Multiply node with Convolution in case group != 1
* Add transformation test
* Do not fuse if not possible to reshape const
* Update fuse_linear_ops.py
* Updated ConcatOptimization transformation to work when one dimension of input to Concat is 0D
* Fixed ConcatOptimization transformation to reconnect input edges to Concat
* Completely re-written ConcatOptimization
* Updated Concat0D optimization transformation
* Fixed order of traversing Concat input ports
* Refactored ConcatOptimization transformation to use `delete_input_port` function
* Detele trailing unconnected ports in the ConcatOptimization.py
* Cleaner implementation of ConcatOptimization + unit test
* initial commit
* first reshap-able variant
* right version for reshape
* comment update
* fixes for failed e2e
* set data type to ngraph TensorIterator
* Fix dynamic shapes for cells ops
* clean up
Co-authored-by: yegor.kruglov <ykruglov@nnlvdp-mkaglins.inn.intel.com>
* Implement reshapeable CTCGreedyDecoderPlusSparseToDense transformation and test
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix consts (after code-review #1)
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Add CTCGreedyDecoderTransformation with more generic pattern
Also it adds new middle-replacer for transforming sequence length to a mask
along with tests.
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Do fixes after review #2
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix after review #3
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Fix after review #4
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Added HSwish operation
* Added HSwish fusing transformation
* Fixed BOM
* Added unit test for HSwish fusing transformation
* Fixed unit tests for transformations using 'build_graph_with_edge_attrs' function to build the graph
* Added fusion transformation for Swish operation
* Added fusing transformation for Softplus operation
* Added fusion transformation for Mish operation
* Added check for the node name in the unit tests
* Fixed Mish fusion pattern
* Updated Mish fusion transformation. Added unit test
* Updated HSwish fusing transformation
* Updated Swish fusion transformation and tests
* Fixed unit tests
* Fixed order of transformation to convert the TF OD API SSD models
* Refactored the sub-graph modification for the TF OD API models related to Squeeze/Reshape after SSD heads
* Extend MO for operation CTCLoss
* Change sequence length format to a mask format
* Add fixes after first-round review
* Add fixes after the second-round review
* Fixing CTCLossPlusCTCGreedyDecoder transformation
* Initial version of ReduceL1, ReduceL2 and ReduceLp enabling in the MO
* Added operations ReduceL1 and ReduceL2 to nGraph
* Removed ReduceLp. Added ReduceL1 and ReduceL2
* Separated specification of ReduceLp into ReduceL1 and ReduceL2
* Updated ReduceL1 and ReduceL2 specification
* Fixed ReduceL1 and ReduceL2 type prop tests
* Implemented nGraph transformation to decompose ReduceL1 and ReduceL2. Disabled them for CPU and GPU plugins
* Updated supported framework layers
* Added unit tests for ReduceL1 and ReduceL2 reference implementation
* Fixed ReduceXXX operations reference implementation by adding support for a new parameter 'keep_dims'
* Fixed constant folding for v0::Any
* Added ReduceL1 and ReduceL2 to Python API
* Implemented ReduceL1 and ReduceL2 decomposition tests and fixed ReduceL2 decomposition
* Added specific creator for ReduceXXX operations instead of NodeBuilders
* Fixed conversion ReduceXXX to CNNLayer
* Fixed parser for ReduceLogicalXXX operations
renamed logits -> bbox_deltas
updated ngraph unittests for Proposal
removed validate_and_infer_types Proposal-4
removed validate_and_infer_types Proposal-4
changed validate_and_infer_types in parent class of Proposal
removed get_output_size
successfully inferred Proposal on SSH and Faster-RCNN
added unittests for Proposal-4
added unittests for Proposal-4
added unittests for Proposal-4
returned back default namespace for Proposal
reduced number of outputs in v0::Proposal
correct conversion of Proposal-4 -> propodal_ie with 2 outputs
removed creator for proposal v0
removed converter for proposal v0
added Proposal-4 to MO
removed `for_deformable` attribute
added Proposal-4 to MO and nGraph Python API
removed typo in Proposal-4 specification
style corrections
style corrections and removed some redundant code
rename proposal Python api test
removed 'attrs' context from visitor
returned back AttrVisitor to check if passes OpenVINO ONNX pipeline
Should pass OpenVINO ONNX pipeline (returned back AttrVisitor just to check)
python api for Proposal-4 works ok
(style correction) python api for Proposal-4 works ok
parametrized proposal_ie some other corrections
removed 'attrs.' context from nGraph Python API tests for Proposal
minor corrections in replacer proposal->proposal_ie
corrected Python API OpenVINO-ONNX tests should pass
Improved workaround for AttributeVisitor for Proposal
Add additional check of im_info tensor shape to Proposal node in MKLDNNPlugin
😠 removed 4 extra spaces from test_dyn_attributes.py to match The Style
added new nGraph RTTI declarations, removed throwing exception in transformation
added new nGraph RTTI declarations, removed throwing exception in transformation, corrected exception in MKLDNNplugin
corrected im_info size checking in Proposal node of MKLDNNPlugin
* Separate MO configuration for TensorFlow 2 model conversion
Also, it updates documentation including steps to convert
TF2 model with a custom layer in Keras H5 format into SavedModel
* Do fixes based on the first-round code review
