* Add fluid layout converter

* remove const

* Fixed bin constant ops

* Added export

* Fixed buffer size

* Fixed code style

* 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

* Fix tolerance for all_close_f

* Lower tolerance

* use all_close

* - use construct_validate_infer_types() in CumSum ctor

* - remove unused variable
- relax rank check

* Warning

* 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

* Update MKLDNN to v1.0.4.

Build MKLDNN-v1 by default.

* Add bf16 support check.

* Modify visibility.

* 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

* 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

* [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

* fix layernorm flatten issue

* update ut

* checkout output val

* fix style

* apply tolerance

Update jenkins-trigger.groovy

Moving to gitlab.

* 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

* Fix serializer op name

* cleanup

* [ONNX] Added gatherND op to ONNX importer.

* Added tests.

* Removed new line.

* Update onnx_import.in.cpp

* Changed tests.

* 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