* [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)