* Added consant folding for LogicalNot

* Fixed alphabetical order

* V1 version of Subtract with default Numpy autobcast

* Update op_v1_tbl.hpp with v1 version of Subtract

* Use v1 of Subtract in ONNX importer

* Add v1 namespace

* Update namspece

* Missing punctuation

* Add Subtract to opset0 downgrade

* Add Subtract to opset1 upgrade

* Add Subtract header to cpu emmiter

* Update serializer

* Add Subtract to opset_pass tests

* Use downgrade method

* Add get_version method

* Style apply

* Add v1 Substract to check opset1

* Add NGRAPH_API before class name

* Removed get_version method

* Separate cases for Subtract and Subtract_v1 in serializer

* Update op_version_tbl with v1 Subtract

* NUMPY autobcast for no args constructor

* Add Subtract_v1 to serializer

* Initial commit

* Moved DeformablePSROIPooling to v1

* Moved DeformablePSROIPooling to v1. Part.2

* Added missing fields

* Added inferance shape

* Added type prop UT

* Added serialization

* Doc + styles applied

* Revert incorrect changes

* Revert incorrect changes. Part.2

* Moved to NGRAPH_API

* integration with master

* Code review remarks introduced

* DeformablePSROIPooling updated to new spec

* Changed axis to Node

* Added using normalize from validation util

* refactored split

* Added typrop tests to Split

* Added set_input_is_relevant_to_shape for Split

* clang style applied

* Fixed var name

* Code refactor

* mergre from master. part.2

* Constructor to provide CI compatibility

* CI compatibility

* CI compatibility

* Updated get_outputs

* CI compitability

* Fixed get_outputs function

* ReduceLogicalAnd op implementation

* ReduceLogicalOr op implementation

* Add basic constant folding support

* Fix typo

* Revert "Add basic constant folding support"

This reverts commit 5d14a1849e957858dd5f6615981b154a381a1127.

* Introduce and use a new base class for logical reductions

* Constant folding for v1::ReduceLogicalAnd

* Constant folding for v1::ReduceLogicalOr

* Obsolete cout removal

*  relax check for LRN for requirement rank should be >=3

* rename unit test names

* - Disable lrn unit test with axes for CPU backend

* remove outdated unit test on rank requirement from type_prop

* - disable newly added lrn unit test in plaidMl

* add placeholder for conv bprop

* add constructor, api, serializer and can compile

* implement decompose_op

* fix arg num

* fix and update

* address comment, clean up and add ut placeholder

* update ut

* address comment on groups

* Add 3-input constructor to DetectionOutput

* Review comments

* [SPEC] Adjust ConvolutionBackpropData op.

```
inputs:
  1. filters-------+
  2. output_delta  |  -> 1. data
                   +---> 2. filters
  3. data_batch_shape -> 3. output_shape(+optional)

attributes:
  1. strides          -> 1. strides
  2. dilations-----+
  3. pads_begin    |  -> 2. pads_begin
  4. pads_end      |  -> 3. pads_end
                   +---> 4. dilations
		      -> 5. +auto_pad(optional)[PadType::EXPLICIT]
		      -> 6. +output_padding(optional)[zeros]
```

* Review fix I

* Added negative axes support for ReverseRequence

* code review remarks introduced

* Disable reverse sequence for PlaidMl tests

* Fixed styles

* Fixed axes assignment

* Fixed normalized axes assignment

* Opset1

* Added opset1.hpp

* Added more ops to opset0 and opset1

* Move opset1.hpp up and remove opset0.hpp

* Add versioning to more ops

* Revert to older pass names to keep compatibility for external components

* Fix compilation errors with codegen

* merge

* Added compile-time check for opset

* Added opset1 tbl

* Add op_version table of all ops

* Create factories from op_version_tbl

* reorg unsupported ops in int backend

* Added temporary alias for GreaterEqual

* Add missing case to interpreter enumeration

* Finish opset serializer cleanup (#3939)

* Opset-based opset conversion (#3937)

* Opset-based opset conversion

* Add other opset conversion

* Use ops.hpp

* Update opset0_tbl.hpp

* Switch interpreter to opset0 + a few extras (#3941)

* Switch interpreter, gcpu to opset0

* Remove unnused files

* Give interpreter its own opset

* style

* Fix namespace

* Fix rounding type conversion

* Work-around for bad clang3.9 bug

* Work-around

* constant folding for strided slice

* code style

* Refactoring

* fix for warning: deleting an unused variable

* Map each ng tensor to a linear buffer and a view

* fix comment

* Create views only when a value is assigned a buffer id

* style

* Fix lit test

* WIP

* WIP

* WIP

* All ops

* Fix layernorm backprop op name

* WIP: Adding tests

* WIP: Adding LIT parsing/printing tests

* WIP

* Added LSTM cells. Fixed some ops

* All builder tests

* PR fixes

* Fix spacing. Add missing setter to SpaceToDepth

* Update spaceToDepth lit test

* PR fixes

* Build fix

* Another fix

* Fixed optional args

* Register CumSum operator in onnx importer

* Missing whitespace

* Update CMakeLists.txt

* ONNX importer - CumSum op init

* Simple CumSum onnx model

* ONNX CumSum model simple test

* Default axis

* Axis input test

* Inputs variable

* Style apply

* Test 3d exclusive reverse

* Apply style

* Add memory header and std namespace

* Add model_cum_sum tests to plsidml unit_test.manifest

* Add model_cum_sum tests to plaidml unit_test.manifest

* Changed default axis type

* Test model update

* Style apply

* Add test for dynamic axis input

* Initial dynamic shapes doc

* Basics on dynamic shapes, with example code

* Add glossary defs and dynamic shapes example

* Slightly better organization

* Address make style check failure, maybe

* Test dynamic shapes doc w 0.27.0-rc.0+9aa81d9

* Resolve doc build error w new opset versioning

* Review comments addressed

* Add theme-relevant revised illustrations from collab_ngai

* style

* Style fixes

* Run make style-apply with clang-format-3.9

* Partially fixed visibility for symbols:

* Resolved issues with RTTI and AppleClang

* style

* review fixes

* fixed compilation with msvc 2019

* Export extra API which is used in other public classes

* CMAKE: MSVS -> MSVC

* Fixed template export

* Fixed compilation flags

* Fixed default args

* removed self-inclusion

* export

* shape

* export strides

* Export all symbols needed for OpenVINO

* Export

* disable cpu

* AxisSet

* disable warning

* fix

* removed second declaration

* fixed runtime exports

* Reverted some changes

* Fixed LNK2005 error on Windows

* Fixed code style check

* Fixed EnumAttributeAdapterBase

* Remove export of template classes

* Fixed code style for EnumAttributeAdapterBase

* Fixed for protobuf

* Mod operator introduced

* Introduced onnx importer, fixed implementation

* styles applied

* Refactored assert comment for mod

* Add failure mod test to plaidml manifest

* Code review remarks introduced

* Changed ops used in decompose to v1

* Moved Mod to op_v1_tbl

* Update ONNX importer Gemm to produce MatMul op

* Address opset3 bug

* Move non-primitive attribute adapters to adaptee's files

* Cast in copy

* Fix incorrect uses of `description()`

* type-o/namespace

* - Op defination for cummalative sum

* WIP reference kernel for cummulative sum

* - unit test case for default cum_sum
- addition ctor for cumsum to accept axis as a integer insted of Node
type
- style fix

* - add serializer support
- fix failing unit test case
- update Op in the interpreter dispatcher

* - CPU builder and DEX support for CumSum

* - implemented mapping tensor elements to corrosponding axis

* - unit test for multiple dims
- fix axis in the op defination
- support for reference kernel to compute across all axis

* - added support for exclusive and reverse modes
- more unit test case for all modes

* - codegen support for CumSum
- disable CumSum unit test for PlaidML

* -Add missing header to  codegen stream writer

* fixed codegen writer

* change return type of exclusive and reverse to bool

* - support for dynamic shape
- support to handle all tensor types in CPU builder

* - add support for interpreter to handle different axis types

* Style fix

* Adding default ctor

* Address PR feedback

* Support string casting to AutoBroadcastSpec

* Make string values consistent

* Enable pipelining in CPU Backend

* Applying clang-formatting to my previous commit

* Changing CPU backend test. executable_can_create_tensor will now return true

* Moved OneHot to v0

* Introduced OneHot:v1

* Added shape calculation for OneHot:v1

* Added element types checking

* Added output shape tests

* Added tests to checking if inputs are scalars

* Updated OneHot:v1 doc

* Implemented OneHot:v1 downgrade pass

* Using OneHot:v1 in onnx_importer

* Implemented OneHot:v0 upgrade

* Fixed OneHot onnx_importer

* Refactored normalize_axis

* Added OneHot:v1 serialized

* Code review remarks introduced

* Added doc to normalize_axis

* Matmul float type test case for UEP
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>

* Removed microsoft ops domains and ran clang-format
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>

* Make Node's type_info mandatory

* Add ReplaceSlice to ZeroDimTensorEliminiation pass (#3899)

* Add ReplaceSlice to ZeroDimTensorEliminiation pass

* style

* Force Gelu decompose on CPU (#3902)

* Put all the op header includes in one header file, ops.hpp

* Update ops.hpp

* Stub for CropAndResize

* Cut and pasteo

* Need a cast

* Construct HardSigmoid with alpha and beta as inputs

* Switch to the new HardSigmoid constructor entirely

* Broadcast with numpy style in hard sigmoid

* Python bindings adjustment to the new constructor

* Different way of creating constants

* Accept scalars instead of 1D vectors for alpha and beta

* Adjust the python tests to the new HardSigmoid constructor

* Use v1 ops in fused HardSigmoid

* Relax the static shape requirement for alpha and beta

* Fix merge