* [WIP] First commit

* Incremental code changes

* Incremental code changes

* Further mods

* Improve src + add more tests

* Another test added

* clang

* Added NGRAPH_DEBUG statements

* Incorporate Xiaoyu and Scott's comment

* Incorporate Adam's comments in tests

* Incorporate Adam's comments

* Add Jayaram's comments

* Add support for QDotInteger

* Address Feedback

* Support int32 as output of QuantizedDot without requantization similar to QuantizedConvolution

* Initial support for specification of fused ops and type inference

* Added FusedOpDecomposition pass and execution test cases

* Serializer support

* style fix

* Add FusedOpDecomposition to GPU and IGPU backends

* Addressed PR feedback

* Fix comment

* Addressed PR feedback

* add windows support for event trace

* add needed windows.h header

* fix linking error

* Enable multi-threaded builds for windows

* [ONNX] Unit test models for DequantizeLinear

* add unit tests and suppot axis

* ignore unit tests on GPU

* fix build warning

* [ONNX] Unit tests for QuantizeLinear

* Fix some syntax issues

* get tests passing

* adding prototxt files with correct names

* disable new tests in the GPU

* cleanup

* style

* Add some unit tests for provenance with node replacement

* One more test

* add provenace propagation

* Use cpu kernel for constant folding.

* Add default empty map.

* Fix a bug.

* Add new files.

* Address PR feedback.

* Check constant folding map before checking type for unary and binary ops.

* Address PR feedback.

* Address PR feedback.

* Use all_close_f.

Add relu unit test.

Make changes for sqrt and pad.

* Fix a bug.

* Change OneHot to accept only non-real types

* Update docstring

* Update Python test

* Add is_integral to element::Type

* Update docs

* Change is_integral to false for boolean

* Revert "Change is_integral to false for boolean"

This reverts commit 099ff378ae7fcbd1d9346665812f6b95e4886186.

* Revert "Add is_integral to element::Type"

This reverts commit 58fdf76fecaefdad10431f9a894523f326f3adca.

* Change is_integral so it is, by definition, !is_real

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