* [ONNX] Add GatherND op to ONNX importer (#3963)

* [ONNX] Added gatherND op to ONNX importer.

* Added tests.

* Removed new line.

* Update onnx_import.in.cpp

* Changed tests.

* Fix serialization of op's type (#4019)

* Fix serializer op name

* cleanup

* Make sure examples compile (#3981)

* Make sure examples compile

* Resolve doc build error due to opset versioning and align dynamic tensor doc to cpp example

* Add latest rc

* Remove deprecated API

* Update brief link summary

* Dist example

* update doc for cpp code examples folder

* Fix typo and toc index

* Build config for example, deprecation in dist test

* style

* Update jenkins-trigger.groovy

Moving to gitlab.

* Fix layernorm flatten issue (#4032)

* fix layernorm flatten issue

* update ut

* checkout output val

* fix style

* apply tolerance

* [MKLDNN] Emit dgemm for 2D DP FP Dot op (#3990)

* [MLIR] Update MLIR/LLVM repos

* Move MLIR/LLVM repos forward

This includes fix to affine fusion algorithm.

* Fix issues after merge

* Fix lit test

* [MKLDNN] Emit dgemm for 2D DP FP Dot op

Add support for emitting MKLDNN's double precision FP gemm from a 2D double
precision floating point Dot operation.

* Removed unnecessarily duplicated pattern

* Add f64 matmul support to CPU Emitter + unit test

* Add check for DP unsupported bias in cpu_fusion.cpp

* Remove GOE from Adjoints class (#3973)

* Change generate_adjoints to take an OutputVector instead of a NodeVector for deltas.

* Cleanup

* Adjoints class convert to use Output<Node>

* More cleanup

* More cleanup

* Post-merge build issues

* Don't push initial bprops multiple times

* Eliminate GOE correctly

* back-compatibility, unit test

* Helper in Constant to allow casting values to a different type (#4000)

* Helper in Constant to allow casting values to a different type

Simplify logic needed to extract values from a Constant node, when
the expected data type is specified only as integral or floating point.

* Review comment

* Review comment
Co-Authored-By: Tomasz Socha <tomasz.socha@intel.com>

* Style apply

* TensorIterator: reshape support (#4038)

* Add second decompose pass to INTERPRETER backend (#4036)

* Update MKLDNN to v1.0.4. (#3951)

* Update MKLDNN to v1.0.4.

Build MKLDNN-v1 by default.

* Add bf16 support check.

* Modify visibility.

* Tested doc build for 0.27 with sitemap for ngraph.ai endpoint (#4014)

* Make sure examples compile

* Resolve doc build error due to opset versioning and align dynamic tensor doc to cpp example

* Add latest rc

* Remove deprecated API

* Update brief link summary

* Dist example

* update doc for cpp code examples folder

* Fix typo and toc index

* Build config for example, deprecation in dist test

* style

* Sitemap for ngraph.ai doc content

* Add title to sitemap

* resolve docbuild warnings resultant from sitemap link labeling

* Doc tag for 0.27.1

* Matmul dyshape_fused_forward_fluid_fix (#4023)

* use constructor_validate_and_infer_types() in CumSum ctor (#4044)

* - use construct_validate_infer_types() in CumSum ctor

* - remove unused variable
- relax rank check

* Warning

* Fix tolerance for all_close_f (#4042)

* Fix tolerance for all_close_f

* Lower tolerance

* use all_close

* Use v1::Gather in ONNX Importer (#4037)

* Add upgrade and downgrade pass for GroupConvolutionBackpropData ops (#4035)

* 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

* Fixed constant operation for u1 format (#4045)

* Fixed bin constant ops

* Added export

* Fixed buffer size

* Fixed code style

* Fix broken serialize and deserialize for Sum and Product (#4050)

* v1::Reshape downgrade pass + onnx_importer adjustments (#4046)

* Update ONNX importer to use nGraph ops from new opset header (#3994)

* Fix NNP-T naming in README (#4048)

* fix layernorm flatten issue

* update ut

* checkout output val

* fix style

* apply tolerance

Update jenkins-trigger.groovy

* Fix serialization of op's type (#4019)

* Fix serializer op name

* cleanup

* Kick off new build

* style

* add ut to reproduce issue from PR#3931

* disable ut for plaidml

* [MLIR] Update MLIR/LLVM repos

* Move MLIR/LLVM repos forward

This includes fix to affine fusion algorithm.

* Fix issues after merge

* Fix lit test

* Add exports

* Work-around windows issues

* windows

* Avoid vectors

* disable group conv if data dilation is not 1s

* Enable group conv decomposition if data or window dilation is enabled. Re-enable a unit-test

* PR fix

* PR fix

* Fix fails

* fused::v1::Split op skeleton & serialization

* Shape inference for Split and upgrade/downgrade passes

* Upgrade pass for the Split op

* Disable the failing onnx_importer Split op tests on interpreter

* Opset1 test correction for v1::Split

* Disable the failing Split op unit tests on PlaidML

* Fix of the upgrade pass for Split

* Remove one of the obsolete v0::Split constructors

Don't imbue locale to cout, imbue a stringstream instead so that it does not contaminate ngraph output (#3989)

* 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

This reverts commit 4a1e308a.

* Fix some opset bugs
Typo in opset0
Include ops.hpp rather than ngraph.hpp

* Opset op insertion

* Make opsets extendable, able to create instances

* Update like replacement

* Review comments

* Fixed group convolution infer function

* style

* Add Fluid reduce_sum and reduce_sum_grad

* Temp save.

* Try cmake target_sources

* Make files compile.

* add fluid pool op placeholder

* can compile

* add global pooling attribute

* implement fprop

* implement bprop

* remove unused

* Add FLuid test.

* Fix typo.

* Fix Typo.

* Added reproducer for specialize_function

* Remove GOEs that might have been introduced while cloning nodes in function specialization

* Address PR feedback

* Fix incorrect merge

Typo in opset0
Include ops.hpp rather than ngraph.hpp

* NonMaxSuppression op skeleton

* Validation of the NonMaxSuppresion op

* Correct last 'boxes' dimention check

* onnx_importer support for NonMaxSuppression

* Code formatting

* Type and shape inference for NonMaxSuppression

* Different initialization of NMS inputs in onnx_importer

* Code formatting

* Basic type_prop tests for NonMaxSuppression

* More type_prop validation for NMS

* [SPEC] Add new v1::GroupConvolution and v1::GroupConvolutionBackpropData ops.

* Sort downgrade passes

* Add downgrade pass fro GroupConvolution

* WIP I

* Fix GroupConvolution validate and infer types

* Add upgrade pass for GroupConvolution

* Remove unnecesary get_static_groups() method

* Disable pass for cases when groups are in filters

* Review Fix I

* Move ops to fused/group_conv.hpp

* Use Op instead of FusedOp again

* Move v1::GroupConvolution and v1::GroupConvolutionBackpropData to FusedOp but temporarily disable decomposition

* Enable multitple int types for OneHot 'depth' param

* Move validation logic out of helper

* Make helper more generic

* Convert slope to data type

* UPdated Mod decomposition to use V1 Subtract

* Fixed Selu op decomposition

* Updated Selu op

* Add Fluid reduce_sum and reduce_sum_grad

* Temp save.

* Try cmake target_sources

* Make files compile.

* Add fprop and build Fluid ops by default.

* Some fixes.

* Fix shape inference issue.

* Add bprop.

* Fix bprop.

* Bug fixes.

* GatherTree introduced

* Added GatherTree type_prop tests