TopK: return the lower index for equivalent values

* add unit test for create_tensor passing in buffer to output tensor

* add comments

* disabled gpu create tensor unit test

Update template for release notes and CHANGELOG with latest few summaries from ngraph releases repo (#2696)

* Update Release Notes for Github summaries, incorporate feedback from doc review, fix typos, etc

* Fix links

* Rename RCs on template

* PR reviews

* Remove trailing spaces and add clarification on Python API example

* Fix typo

* [ONNX] Use NullNode for the optional output in MaxPool

* Style check

* add test file

* add new float_util files

* Add unit tests for bfloat. Fix bfloat rounding code since it was incorrectly rounding.

* add more tests

* cleanup

* change trucate to be endian agnostic

* prep work for constexpr ctors

* ready for constexpr

* constexpr ctor for bfloat16

* more bfloating

* write constexpr isnan since it is not constexpr on Macos

* remove cast operator

* add benchmark test and cleanup

* use aligned buffers for benchmark tests

* fix numbers printed in benchmark

* remove union and use cast operator

* all tests passing

* cleanup

* [ONNX] Add verification of split attribute in split op

* Style

* Update split.cpp

* Add verification of split length

IntelGPU backend: Select operation fix (clDNN doesn't support int32 data type); Switched to clDNN 14.0 drop (#2702)

* [Warnings] Silence more warnings

Unused variables and missing switch case.

* Move static global var to the host_tensor translation unit

- Remove non-portable 'unused' attribute.

* Fix style

ConvertLayout is a MKLDNN specific op and the MKLDNN kernel flag was not
set. This led to assume that this operation was not supported by
MKLDNN.

* Add GetOutputElements to outputs of FunctionCall so each op has exactly one output.

* cleanup

* [ONNX] Fix convpool padding by max(x, 0) on pad calculation

* Update convpool.cpp

* Add Casting

* Add coment

* Update MXNet bridge info page

* Fix warning from docbuild due to heading

* Update page on distributed training

And its annoying warning.

* - gauss error function (erf) implementationn through eigen

* - erf implementation for cpu codegen ii) unit test for erf cpu v/s intr

* fix style

* Added the initial rev. of the Event tracing

* Fixed the API and format

* Updated based on review feedback

* More updates based on code review feedback

* Fixxed format again

* More update based on PR review comments

* Fixed format

* Fix a compilation error that doesn't show up in local system!

* Save and return backend handle

* Removing some unnecessary functions

* Implement get_backend_node

* Add documentation

* Applied style

* Change name of function

* Returning op instead of node

* Change documentation

* Added more detailed comments

* Change op to node

* Reduce concat fusion test input sizes

* missed something

* Add MPI_Bcast to nGraph core

* Add mpi_broadcast op and pass the unit test on CPU backend

* Modify API for MLSL

* Remove unused variable

* Fix the format

* Add the op call in python/pyngraph/ops/regmodule_pyngraph_op.cpp.

* Fix emitter function for DistBroadcast op

* Fix format

* Fix the emitter function for distbroadcast op

* Fix format

* Delete the reference code for distbroadcast op

* Include mlsl.h from ngraph build for genernal external usage

* Change back for build

* Fix alphabetical order issue and line space

* Rename disbroadcast to broadcastdistributed

* Change back continue

* Update the changes

* Fix style

* Delete unused variables

* Change some text format

* Add support for interpreter backend for broadcastdistributed

* Delete some redundant code

* Fix format

* rename

* remove unused file

* More renames

* renaming

* Remove one unused file

* Fix a bug

* add back redundant

* One more commit

* More commits

* Unify distributed_send and distributed_recv functions

* Fix format

* Process one line at a time to support MSVC.

* Fix undefined variable.

* Style.

* Split header into 64k chunks on windows and re-assemble in codegen.

* style

* Skeleton for shape specialization

* Change signature of as_constants to return the vector, with zero elements in case of failure

* Add as_constants implementation for Concat

* Some comments

* Add check for element types of replacements; fix comment typo

* Address PR feedback, and add some comments

* An extra check, and a comment, ahead of the memcpy

* Minor comment wording fix

* [ONNX] Add documentation

* Update documentation contributor's instructions

* Doc theme to match ngraph.ai

* Minor formatting fixes and PR feedback

* ToC fixes

* ToC fixes

* Add changes

* Be consistent with BUILDDIR

* Be consistent with substitution

* Update Makefile

* Update style check, add feedback from reviewers, remove outdated link on ReleaseNotes

* [ONNX] Add documentation

* Update documentation contributor's instructions

* Doc theme to match ngraph.ai

* Minor formatting fixes and PR feedback

* ToC fixes

* ToC fixes

* Add changes

* Be consistent with BUILDDIR

* Be consistent with substitution

* Update Makefile

* Update README.md

Lots of updates to the broken links, typos, and other improvements to be noted for the latest release.

* Update README.md

fix typo

* Try asciidoc version of README

* Update README.md

* Tox is stupid

* Add both versions for kicks

* Add PR review feedback

* Remove text version of readme

* [ONNX] Add documentation

* Update documentation contributor's instructions

* Added extra case for conv bias affine folding

* Added unit test

* Check for fused ops in unit test

* [ONNX] Change default broadcast dim value, gemm improvement

* update comments: ones -> zeros

* Add erf op, interpreter kernel and unit tests

* Add review feedback and fix unit tests

* Add unsupported op to GPU and IntelGPU

* Add one more test