* Use ConvolutionBackpropData in ONNX ConvTranspose operator.

* Replace deprecated functions and update documentation.

* Remove GroupConvolutionTranspose fused op.

* Add more UT for GroupConvolutionBackpropData.

- They're transformed from GroupConvolutionTranspose

* Fix validate_and_infed types for ConvolutionBackpropData v1.

* Add new constructor for GroupConvolutionBackpropData

- Additionally do some code formatting.

* Improve validation in GroupConvBackprop v0.

* Update/fix upgrade & downgrade passes for
(Group)ConvolutionBackpropData.

* Add decomposition and validation for GroupConvolutionBackpropData:v1

* Type properties UT for GroupConvolutionBackprop v1

* Remove include of deleted header.

* Add squeeze to opset1::builder.

* Use opset1 squeeze.

* Helper functions for padding and output spatial shape inference.

These helper functions are specialized only for *ConvolutionBackpropData operators.

* Update documentation.

* Add more checks and remove deprecated assert.

* Refactor GroupConvolutionBackpropData validation.

- Use helper functions to infer padding and output shape.
- Change get_output_shape to return only spatial features dimensions

* Remove unnecessary code from donwgrade pass.

The GroupConvolutionBackpropData node has already computed all those required
information.

* Call Node API. Small review suggestions.

* Work only on spatial dimensions inside helper functions.

* Enhance documentation for ConvolutionBackpropData

* Refactoring.

* Reuse values computed in downgraded operator.

* Check for correct filters input shape.

* Add additional check on auto pad value.

* Remove unused variables.

* Rename helper function.

* Add more checks.

* Override is dynamic and add more restrictive check.

* Fix merge artifact and force unsigned type for argument.

* Review comments: renaming.

* Change Convolution + bias pattern.

Change from bias broadcasting to appropriate convolution output shape
into reshape into (1, C, 1, 1) shape, which sould work better.

* Add few more test cases for ONNX ConvTranspose op.

* Skip one UT failing on PlaidML backend due to accuracy.

* Return v1::Reshape in builder::reshape function.

* Use default_opset in ONNX Convolution operators.

* Revert builder::reshape to return v0 op.

* Remove unused code.

* Update year in license header.

* Remove AutoBroadcastSpec arg and use default value.
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

* Add using  Reshape:v1

* Use Reshape:v0 in group_conv

* Use Reshape_V1 in builder:flatten

* builder:v1 introduced

* Revert old builders to use Reshape:v0

* removed unused Transpose test

* Update test/opset_pass/transpose_opset_pass.cpp

* Changed builders to opset1

* Use opset1 instead of v1
Co-authored-by: Robert Kimball <robert.kimball@intel.com>
Co-authored-by: Sang Ik Lee <sang.ik.lee@intel.com>

* Fix spelling, and comment formatting.

* Update Reduction operation to use v1 operators.

* Upgrade/downgrade passess for ReduceMin/Max ops.

* Address review comments:

- Remove unnecessary AutoBroadcast arg.
- Use default_opset namespace.
Co-authored-by: Scott Cyphers <diyessi@users.noreply.github.com>

* Update license to new year

* Pick up some strays

* first version

* Added constant cast

* Updated ref implementation

* Fixed out element type

* Added UT

* Code refactor

* Add upgrade and downgrade pass for GroupConvolutionBackpropData ops

- Add up/downgrade passes for GroupConvolutionBackpropData operators
- Improve decompose operatorion of v0::GroupConvolutionBackpropData to support N-dimensional data
- Add UT for up/downgrade passes.

* Remove unused variable

* Added v1::Select op with support for implicit broadcasting

* Addressed PR feedback

* Constant folding support for v1::Select op

* Remove commented-out code

* More shape inference tests

* 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

* [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

* 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

* 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

* Address op_tbl issues

* fix

* fix

* fix

* Cleanup

* cleanup

* cleanup

* More fixes

* Revert ser changes

* Compiles

* opset conversion fixed

* Fix opset conversion tests

* Deal with Reciprocal and FloorMod movement

* Cleanup

* Remove duplicate enums

* Experiment

* experiment

* Types

* Reorg around clang 3.9 bug

* implemented TopK:v1 downgrade

* Using v1 in onnx_importer; styles applied

* Fixed onnx_importer

* code review remarks introduced; fix clang errors

* Fixed problem with incorrect order of TopK outputs

* Code review remarks introduced

* Fixed output_order style

* Add upgrade/downgrade pass for Add op.

* Add upgrade/downgrade pass for Divide op.

- Change default value of autobradcasting in v1 into NUMPY.

* Add v1 version for Equal operator.

* Rename helper functions to fix compiler errros.

Fix Divide op version.

* Add downgrade and upgrade passes for Equal op.

* Reformat test cases. Add helper functions.

Add UT for Equal op.

* Add upgrade/downgrade pass and UT for Greater op.

* Add upgrade/downgrade pass and UT for GreaterEq op.

* Add upgrade/downgrade pass and UT for Less op.

* Add upgrade/downgrade pass and UT for LessEq op.

* Add upgrade/downgrade pass and UT for Maximum op.

* Add upgrade/downgrade pass and UT for Minimum op.

* Add upgrade/downgrade pass and UT for Multiply op.

* Add upgrade/downgrade pass and UT for NotEqual op.

* Add upgrade/downgrade pass and UT for Power op.

* Force ops version 1.

* Don't inline templates.

* Fix namespaces and some formatting.

* Update ONNX Importer to produce v1 nGraph nodes.

* Fix function return type.

* Fix uninitialized local variable warning.

* Fix confilicting declarations.

* Apply clang-format.

* Fix errors for distributed nGraph with unavailable classes.

* Fix downgrade pass for LessEqual op.

* Shape as a node in ConvBpropData (v1)

* Fix constant op creation

* Convbpropfilters dynamic shape

* Avgpool bprop dynamic shape

* Add downgrade pass

* Downgrade pass Avgpoolbackprop

* Shape checks and shape relevancy

* Dyn avgpoolbprop test case

* Revert "Dyn avgpoolbprop test case"

This reverts commit b094f2f99d00023593c667ff16cf060a586ad16a.

* Revert "Avgpool bprop dynamic shape"

This reverts commit ef8a4d197577c0d277d634baa9d6d082adcddae0.

* Revert "Downgrade pass Avgpoolbackprop"

This reverts commit 3f31f0fea8fe6e79bd958cbaa7cb8495008a795f.

* Call shape relevancy

* Revert Avgpoolbprop changes

* mark nodes as dynamic

* Add opset transform tests

* Change API

* Adjust strides

* Use size

* Merge PR 3776

* add shape relevance

* Add convbprop_data test case

* Add convbprop_filter test case

* Use is_constant helper

* Remove opset pdpd test case

* resolve conflict

* add checks for validate and infer

* Type prop tests

* [SPEC] Rename operator Xor->LogicalXor

* Fix clang issue

* Fix bug in opset transformations. Add support for LogicalXor in backends

* Style fix

* Fix a bug in CPU emmiter

* [SPEC] Rename operator Or->LogicalOr

* [SPEC] Rename operator And->LogicalAnd

* [SPEC] Rename operator Not->LogicalNot

* [SPEC] Rename operator LessEq->LessEqual

* Introduced reshape:v1 downgrade

* Enable downgrade pass in dynamic backend

* Add unit test for dynamic backend downgrade pass

* Clang styles applied

* Apply unit tests name refactor based on code review
Co-Authored-By: Michał Karzyński <postrational@users.noreply.github.com>

* Removed redundant pass

* Changed order of downgrade pass

* Changed order of passes in dynamic backend

* DynSlice was adjusted to specyfication

* Fixed documentation

* Fixed styles

* Fixed clang warning

* Introduced StridedSlice as separate op

* revert dyn_slice

* Fixed StrideSlice implementation

* Enable downgrade pass in dynamic backend

* Implemented upgrade/downgrade pass

* Added serialization

* Styles applied

* Styles applied. Part.2

* Updated dynamic backends list

* Move StridedSlice outside experimental

* Make Slice as v0 of StridedSlice

* Styles applied

* Styles applied

* Fixed clang error

* Code review remarks introduced

* Move GenerateMask up in Opset0Downgrade to keep alphabetical sort

* Style apply

* Dynshape support for GenerateMask

* fix clang error

* Remove comments

* Test case correction

* Disable plaidml

* Merge

* Implemented downgrade pass

* Added v1 support in onnx importer

* Clang style applied

* Pooling factory refactor

* Removed unused variables

* clang styles apllied

* Fixed avg pool bprop UT

* AvgPoolBprop dynamic shape support

* Add opset_transform test

* Call the correct shape relevance function

* Unused variable

* - Added support for v1 Broadcast op specification
- Added upgrade/downgrade conversions between v0 and v1

* Added unit test for pdpd broadcast

* Make numpy default autobroadcast type and some style fixes

* Added support in Dynamic wrapper for dyn elimination and copied over unit tests from DynBroadcast

* Addressed PR feedback

* Addressed PR feedback on documentation

* Unify test names for opset transformation passes

* Unify downgrade test names

* Implemented downgrade pass

* Using Pad:v1 in onnx_importer

* Downgrade transformation doc fixed

* Added downgrade pass for reduce_prod

* Using ReduceProd:v1 in onnx_importer

* Added ReduceProd:1 downgrade support

* Clang styles applied

* Downgrade pass added for all backends

* Added downgrade pass for reduce_prod

* Using ReduceProd:v1 in onnx_importer

* Added ReduceProd:1 downgrade support

* Clang styles applied

* Apply suggestions from code review

Changed pad_opset_pass to opset_downgrade
Co-Authored-By: Tomasz Socha <tomasz.socha@intel.com>

* Fix names

* Apply suggestions from code review

Removed redundant include, renamed tests
Co-Authored-By: Tomasz Socha <tomasz.socha@intel.com>

* Changed order of passes

* Changed way of op casting

* Changed order of passes

* Changed downgrade pass order of CPU backend

* Changed downgrade pass order of CPU backend

* styles applied

* [SPEC] Fixed NormalizeL2 (#3695)

* Fixed NormalizeL2

* style applied

* Fixed axes rank checking

* removed redundant comma

* Set keep_dims by function argument

* Improved error message

* Fixed casting method

* fix styles

* styles applied

* Fixed normalize tests

* unit tests names refactor
Co-Authored-By: Michał Karzyński <postrational@users.noreply.github.com>

* Disable not supported PlaidML tests

* Added missing EOF

* Implemented downgrade pass

* Using Pad:v1 in onnx_importer

* Downgrade transformation doc fixed

* Downgrade pass added for all backends

* Apply suggestions from code review

Changed pad_opset_pass to opset_downgrade
Co-Authored-By: Tomasz Socha <tomasz.socha@intel.com>

* Changed order of passes

* Changed downgrade pass order of CPU backend

* Added reverse:v1 downgrade

* Code review remakrs introduced

* Fixed problem with foward declaration

* Implemented downgrade pass

* Using Pad:v1 in onnx_importer

* Downgrade transformation doc fixed

* Downgrade pass added for all backends

* Apply suggestions from code review

Changed pad_opset_pass to opset_downgrade
Co-Authored-By: Tomasz Socha <tomasz.socha@intel.com>

* Changed order of passes

* Changed downgrade pass order of CPU backend

* Code review remarks introduced

* Add new enum: RoundingType for pooling operations

* Add v1::AvgPool op

* Add v1::MaxPool op

* Fix comments format

* Fix problem with forward declaration

* new UT & fix some bugs

* Gather:v1 was introduced

* Added support for negative axis

* Removed unsused serialization

* Code review remarks introduced

* Change returned type of get_axis method

* Code review remarks introduced

* Chnaged axis_node to scalar during transformation

* Clang style applied

* Fixed clang errors

* style

* Pad:v1 was introduced

* Fixed problem with foward declaration

* Code review remarks introduced

* Addtinal asserts and unit-test for Pad:v1 introduced

* Handled optinal arg_pad_value input

* Fixed unit tests messages and clang styles applied

* Styles applied, checking rank improved

* Updated changes.md

* Revert "Updated changes.md"

This reverts commit 8ee16e580705275ee0719648d5251021354e4d84.

* Clang warning fixed

* Add opset_version field to Node

* Add opset version aliases to Softmax

* Add op::set1::Softmax operator

* Disable opset 1 ops in INTERPRETER

* Add serializer support for Softmax opset 1

* Opset1Transformation pass

* Added unit tests to softmax pass

* Code refactoring

* Added missing virtual to set_opset_version

* Clang styles applied

* Update src/ngraph/pass/opset1_transform.cpp
Co-Authored-By: Adam Procter <adam.m.procter@intel.com>

* Part.1 Code review remarks introduced

* Part.2 Code review remarks introduced

* Changed opset_version to op_version

* Code review remarks introduced

* Code review remarks introduced

* Set Op as base class for Softmax instead of UnaryElementwiseArithmetic

* Fixed unit tests

* v1::Softmax::generate_adjoints mark temporarily as not supported

* Fix CI. Part.2

* Fix CI. Part.3

* Code review remarks introduced

* Rename Opset1Transformation to Opset1Upgrade

* Fixed clag style problem with enum switch

* Fixes clang compilator error

* Removed unused foward declaration

* Code review remarks introduced

* Added checking if input rank is static