* Add AdaptivePool to ngraph python API
* Disable tests until CPU implementation is ready
* Change ticket number
* Add create op tests
* Fix quotes
* Fix typo
* Enhance dynamic shape inference of validate and infer types method
* Review op class of DeformableConvolution
* Add node validation checks into validate and infer types specific to element type and shape of inputs
* Refactor validate and infer types method to use common function to validate conv parameters and infer output shape
* Apply these changes to Convolution and BinaryConvolution for alignment
* Add type_prop unit tests
* Add node validation checks for deformable values spatial dimensions
* Fix type_prop and python api shapes
* Fix deformable values spatial dimensions
* Add validation checks in reference implementation
* Address review comments
* Remove reference to const for basic types in ref impl
* Update comment with ticket to add check for u1
* Change deformable values to offset to align with spec
* Add BinaryConvolution unit tests.
* Changed types to u1.
* Add BIN precision handling in TestCase class.
* Refactored validate and infer types to enhance dynamic shape inference
* Add type_prop test to cover invalid op cases and dynamic shapes
* Fix style
* Disable check for float type of data batch input
* Add type_prop test for incompatible input channels in inputs
* Disable backend unit tests
* Fix style
* Add reference implementation
* Add backend tests
* Add single layer tests
* Add check for float element type of batch data input
* Refactor backend test cases to compare with regular convolution
* Add serialization tests
* Clean up
* Add 1D and 3D tests into op_eval
* Changes in reference implementation to improve readability
* Add ticket information for todo tasks
* Fix implementation misbehavior for filter channels
* Add backend unit tests to cover strides, dilations, padding, channels and batches
* Add end of line into files
* Change name of type_prop unit tests
* Simplified lambda to get spatial dimensions of filters
* Add comment to support filters input as Parameter
* Add namespace details for BinaryConvolution utility functions
* Address review comments
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* Add python api for CTCGreedyDecoder
* Fix code style
* Fix unit test
* Fix code style
* Fix unit tests
* Fix python tests
* Fix python tests
* Fix python tests
* Fix according to code review
* fix
* Fix api
* fix unit tests
* Fix unit test
* Fix python api
* Revice DetectionOutput reference implementation
Ticket: 37433
* fix test_create_op
* fix test_dyn_attributes
* apply code format
* fix crash on Windows when variance_encoded_in_target == 1
* add more checks for DetectionOutput inputs
* Fix single layer tests
* apply code format
* fix ssd_vgg16_300 inference with batch size > 1
* update types in docs
* fix crash on windows
* apply code style
* fix python tests
* fix setting output type
* change False to false and True to true in docs
* Allow prior boxes to have different type than box logits
Some models work that way
* simplify output shape calculation
* fixes to docs
* Add reference implementation for PSROIPooling operator
* fix test_roi_pooling
* use std::roundf
* remove unnecessary copies in single layer tets
* Fixes after review
* fixes after review
* use element::Type_t instead of element::
* apply code format
* add PSROIPooling to evaluates_map
* apply code format
* remove power op from layer creator
* remove prelu op from layer creator
* remove tile op from layer creator
* remove relu op from layer creator
* remove selu op from layer creator
* remove softmax op from layer creator
* remove tanh op from layer creator
* remove split op from layer creator
* remove reshape op from layer creator
* remove reverse sequence op from layer creator
* remove proposal op from layer creator
* remove priorbox op from layer creator
* remove roipooling op from layer creator
* remove priorboxclustered op from layer creator
* style fix
* utility function to parse bool-containing strings
* align priorbox scale_all_sizes parameter to specification
* change location of getBoolStrParamAsIntStr function
* align prelu creator to new constant op changes
* adjust priorbox tests to align with scale_all_sizes default value
* adjust priorbox python tests to align with scale_all_sizes default value
* align priorboxclustered attributes initlialization to specification
* fix checking wrong container's end iterator for opset name search
* improve comment on roipooling parameters
* Apply review suggestion 1
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* Apply review suggestion 2
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* align priorbox step initial value to specification
* align roipooling method attribute to specification
* remove roipooling specific creator
* align with review comments
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
* sequences to ti transformations, support for seq_lengths input, update reference implemetations, add new tests
* fix python api, update sequences to ti transformation
* fix sequences to ti transformation
* Update sequences to TI transformation: fix reverse sequence support
* update single layer tests, fix TI reference impl, fix Sequences to TI transformations
* ngraph code style
* fix build
* fix ngraph python api
* resolver review comments, refactoring
* Resolve review remarks
* delete xfail
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
Maxim Vafin