* Create ONNX FrontEnd GenerateProposals op
* Add onnx GP Op validation
* Add batch 2 test
* Improve code readability
.. per review comments
* Fix test model paths
* Use heterogeneous test values
* roi_align_9: ov_core, transformations, template_plugin
* roi_align_9: CPU Plugin
* keep only constructor with enums which is aligned with spec
* remove evaluate function for ROIAlign_9
* Add op check test for operation ROIAlign-9
* Apply suggestions from code review
* fix version name from 'v0' to 'v3' in transform part
* use common shape_infer function for v3 and v9
* remove'tf_' prefix for ROIAlign::AlignedMode to avoid misleading for models from different platforms
* Removed a redundant image
* Fixed ops specifications and other issues
* converted html links to anchor links
* converted html links to anchor links
* Fixed a link
* Fixed a link
* Changed anchor links according to dev review
# Conflicts:
# docs/OV_Runtime_UG/Operations_specifications.md
* Added specification for EyeLike-9
* Update docs/ops/generation/EyeLike_9.md
* removed batch from TF
* minor fix
* Applied comment by Anton
* Added new example with dynamic output, added corner case
* Fixed corner case description
* Rename matrix
* applied comments by Yuan
* Added diag_idx as input, minor fixes, renaming
* added support of batch_shape from TF
Co-authored-by: Andrei Kochin <andrei.kochin@intel.com>
* Written the draft of the specification of the operation RFFT.
* Started to write the specification of the operation IRFFT.
* Small fix.
* Renamed RFFT operation as RDFT.
* Fix in Operations_specifications.md.
* Written the specification of the operation IRDFT.
* Fixes in examples.
* Fixes in opset9.md and Operations_specifications.md.
* Small fix.
* Replaced opset8 by opset9 in opset9.md.
* Deleted redundant sentences.
* Small fix.
* Replaced input_shape by data_shape.
* Fixed mistypes.
* Fixes of mistypes.
* Fixed typo.
* Fixed RDFT specification, in order to perform signal_size input as in TF and PyTorch.
* Fixes in examples for RDFT.
* Fixes in the output shape calculation of IRDFT. Now this calculation is as in TF and PyTorch.
* Specify DetectionOutput-8 operation
The delta is small where we just remove num_classes attribute to support OD models out of the box
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove a link to DetectionOutput-1 from opset-8
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update a list in ie_docs.xml
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* revise LSTM spec
Signed-off-by: fishbell <bell.song@intel.com>
* add param check and related test case
Signed-off-by: fishbell <bell.song@intel.com>
* fix clang-format
Signed-off-by: fishbell <bell.song@intel.com>
* use static_cast to replace c style force conversion
Signed-off-by: fishbell <bell.song@intel.com>
* New version of PriorBox operation to add new 'min_max_aspect_ratios_order' attribute
* Apply suggestions from code review
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
* Apply suggestions from code review
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: Tomasz Dołbniak <tomasz.dolbniak@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
* Add specifiation for GatherND_8 operation
* Update formula
* Add links to op spec
* Fix existed and add new example
* Correct output shape formula
* Add restriction for batch_dims values
* Add reference for gatherND-8 operation
* Update batch_dims=3 example
* Fix output shape in example
* fix lines length
* Fix typo
* Fix wrong shape
* Update note about calculation of out shape
* Apply suggestions from code review
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
* tmp
* Fix atanh correctness test issue and veriyf pass.
Signed-off-by: Yan, Xiping <xiping.yan@intel.com>
* Only keep available input value for correctness test.
Signed-off-by: Yan, Xiping <xiping.yan@intel.com>
* Propose new Slice-8 operation
(cherry picked from commit a44ed32a6f)
* Align category
* Update detailed descripiton
* Update Inputs/Outputs description
* Add no attributes info
* Precise range of axis values
* Update descriptions
* More details about negative steps and slicing backwards
* Add more details
* Add examples
* Change step input to Required
* Apply spell check comments
* Add missing commas
* Add separate T_AXIS type for axis input
* Make example data 2D
* Remove duplicated example
* Apply review suggestions
Co-authored-by: Michal Karzynski <michal.karzynski@intel.com>
* update spec
* remove backend tests and create op_reference test
* add logicalNot to constants
* add NGRAPH CHECK for number of inputs and outputs
* create type_prop tests
* create visitor test
* add type_op and visitor tests to CMakeLists
* remove backend test from CMakeList
* update T to T_BOOL
* update outputs part in spec
* fix type in the spec
* fixed conflicts in CMakeList
* update ReferenceLogicalLayerTest to also work with unary logical operator
* update logical_not op_reference test to use ReferenceLogicalLayerTest
* fix style
* fix style
* resolve conflict
* resolve conflict
* remove typo
* fix style
* Update ReferenceLogicalLayerTest class tto take input as a vector
* Create makeLogical function that takes ParameterVector as parameter
* update op_reference logical tests to take input as a vector
* Replace elem_type with input.type
* update getTestCaseName method
* update spec
* create op_reference test
* add greateEqual to constants.py
* add ngraph_check for number of inputs and outputs
* add include
* fix style
* add information about broadcast in examples in spec
* Remove redundant reegistration of a new test class
* Remove visit_attributes method
* update outputs part in Greater and GreaterEqual spec
* fix typos in spec
* Add transformation for single CTCGreedyDecoder operation
* Fix style in op specification
* Update transformation logic
* refactor old tests and add tests for new transformation
* Move tf specific front transformations to tf folder
* Update transformation logic and comments
* Add run_after function and update comments
* Add output_sparse_format attribute to extractor
* Update transformation conditions and tests
* Fix incorrect comment
* Move sparse_to_dense_replacer to front/tf folder to fix problems with class registration
* Update import
* Update output ports handling in transformation
* Update test
* Fix BOM file
* Update pattern for ctcloss transformation
* Fix and refactor tests for ctcloss transform
* Update transformation conditions
* inserted Convert to unsigned
* moved declarations from hpp into cpp, specification corrected
* added static const modifier
* updated convert specification
* minor corrections
* split into 3 passes(Init, Propogate, Update), renamed final pass to ConvertNmsGatherPathToUnsigned
* added description why transformation is needed
* added matcher for several NMS versions, removed TRANSFORMATIONS_API macros from cpp
* applied comments:
- used GraphRewrite instead of FunctionPass
- simplified some expressions
- corrected case when Converts output goes to multiple nodes
- added to MOC transformations
- other minor corrections
* removed redundant namespace prefixes
* fixed #include <ngraph/pass/graph_rewrite.hpp>
* removed matcher_scope, debug code, and redundant dynamic_cast
* ReverseSequence specification refactored
* Change attribute description to avoid confusion
* Allow seq_lenghts input to be of floating-point precision
* Hiding the problem, Validate() changes 'function'
* Review/update spec for NotEqual operation
* Remove unnecessary edits not related to the ticket
* Removing the extra word binary for the short description
* Re-writing detailed description
* Correcting punctuation docs/ops/comparison/NotEqual_1.md
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
* Specifying auto_broadcast in the short description is similar to Equal spec
* The range of values for auto_brodcast is similar to Equal spec and includes the missing pdpd
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
