* bulk change `type T` to `type *T*` in spec
* update all `T` which referee to type to use *T* pattern
* get back with `T` where T is dimension
* fix *T*1 -> *T1*
* Make italic types where was no formating
* Update docs
* create type_prop test for cos
* Create visitor test foor cos
* add RTTI macro
* Create separate ref impl for integer input
* add cos to SLT integer activation type
* add backend test for int input
* add cos to constants.py
* style apply
* fix spec
* add ngraph check for outputs and inputs
* fix inputs ngraph check
* remove unnecessary includes
* style dix
* Update Swish OP description.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Use RTTI to declare/define NGraph Swish OP.
Add input element type check when constructing Swish OP.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Add Swish into activation serialization test list.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Add Swish into IE CPU plugin activation single layer test suit.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Add Swish NGraph backend and visitor API tests.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Add Swish unsupported parameter data type test cases.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Update the Swish OP visistor API to use typed test.
Signed-off-by: Luwei Zhou <luwei.zhou@intel.com>
* Specification of a new operator called MatrixNMS.
This Op functionally equivalent to NonMaxSuppression-5, with an non max suppression algorithm called matrix_nms, and perform more post-processing phases, and lay out
the detection outputs in the way of PaddlePaddle detection.
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update docs/ops/sort/MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* Update MatrixNMS_8.md
* Update MatrixNMS_8.md
Co-authored-by: Anastasiya Ageeva <anastasiya.ageeva@intel.com>
* MulticlassNms-8 spec.
This Op functionally extends NonMaxSuppression-5, to perform more post-processing phases, and lay out
the detection outputs in the way of PaddlePaddle detection.
* Update MulticlassNMS_8.md
Clarify the meaning of "nms_top_k".
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* Update MulticlassNMS_8.md
* StridedSlice spec refactored against explicit type indication.
* Add name to data input.
* Add new examples.
* Changed T to 'any supported type'.
* Remove mention about 'generalized python indexing' from short
description.
* refactor part of the docs file to use \dots
* refector docs
* add function enclosure for docs
* split function enclosurs across lines
* add latex operations to spec
* fix style
* fix missing index
* remove link to tensorflow operation
* Remove commas from formula.
Co-authored-by: jdanieck <jozef.daniecki@intel.com>
* Revise spec for nonzero op
* Applying suggestions from review comments
* Change naming in detailed description, using tuple instead of column.
* add missing newlines in attributes section
* Remove trailing space from line 7
* Reduction operations specification refactoring
* Change axes input element type to any supported integer
* Address review comments related to wording
* Fix errors in VariadicSplit layer restored from serialized IR
* Update VariadicSplit specification and error message to allow 1D tensors on 1st input
* Update spec
* Resolve comments
* Apply comments, add unit tests
* Update unit tests
* Update specification for ConvolutionBackpropData.
* Add backticks to attribute types, changed layout description for input, filter and output.
* Correct xml example.
* Add new examples.
* Add link with convolution backprop description.
* Repleace additional link with argxiv website.
* Insert enumeration for examples.
* Fix example with output_shape input.
* corrected negative batch_dims normalization, some improvements in dynamism for Gather_7
* corrected transformation
* added batch_dims and axis normalization for reference
* updated INTERPRETER backend tests; replaced sizet_t -> int64_t in Gather evaluate
* returned back size_t in reference
* made Gather-1 source compatible with previous ngraph library versions
* added unittest for v7->v1, with nonzero batch_dims transformation should not be executed
* fix axis validation error message
* fix batch_dims gettter
* fixed v7->v1 unittest for nonzero batch_dims
* BatchNormInference specification refactoring
* Address review comments
* Remove he term Transform from definition
* Add title of the paper where this operation is introduced
* Add missing backticks
* Remove redundant information in attribute epsilon range of values
* Refinement of spec
Remove more mentions to transformation to avoid confusion
* Corrected typos and added changes to improve readability
* Use third person to express operation steps
* Allow nagative values for batch_dims
* Update formula
* Update spec according to comments
* clarified cases when batch_dims and axis less than zero and enhanced restriction for index types
Co-authored-by: Pavel Esir <pavel.esir@intel.com>
* update tanh v1 spec
* Apply review suggestions
* add rounding info
* Move Tanh to activation functions
* reorganize spec and add rounding rule for integers
* back to arithemtic functions
* Update `short description` to adjust with new EW description template
Co-authored-by: Patryk Elszkowski <patryk.elszkowki@intel.com>
* Update attributes info
* Update math form to render sqrt symbol
* Update input description
* Update output description
* Add new example
* Update description and move math formula
* Style refactor
* Add info about integer rounding and negative values
* Update examples with integer cases
* Review Split operation class
* Added node validation checks
* Added type_prop unit tests with invalid cases and negative axis value
* Add ngraph check for host tensor inputs and outputs
* Enable CPU backend tests
* Add serialization single layer tests
* Add more precisions, axis and num of splits in single layer tests
* Add op to script of trusted operations
* Fix check macro for inputs and outputs in evaluate method
* Fix comparison of integer expressions of different signedness compilation error
* Add validation check for upper bound dimension for dynamic shapes
* Add node validation check for num_splits attribute greater than zero
* Align spec with num_splits attribute range of values
* Specify Einsum-7 operation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Finalize specification for Einsum-7 operation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Remove duplicate example
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Update doc headers with Einsum operation
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply comments after the first review: grammar corrections and sentence rephrase
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Apply feedback from tech-writers and online review
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Make additional grammar corrections
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Correct documentation: optimize some sentences, links and examples
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
* Support capital letters in equation and implicit mode
Signed-off-by: Roman Kazantsev <roman.kazantsev@intel.com>
