* Migrate doc changes

* Add TensorFlow version change

This reverts commit 6c8284a3.

* add Min/Max support to zero dim tensor elimination

* fix infinity

* [ONNX] Unit test models for QLinearConv

* Temp ref conv

* ref conv temp

* add qlinearconv2d test

* adding conv3d test case

* ignore tests on GPU

* Dynamic scale

* add builder based solution for zero point and conv

* Revert "Dynamic scale"

This reverts commit be8e57bdf7013967e5575164a0402dcc6d16b8ed.

* Revert "Merge remote-tracking branch 'origin/nishant_ref_conv_u8u8' into mkarzyns/qlinear_conv_uts"

This reverts commit dea29a18c474b644b5b531f0e59f21d21bd56bf2, reversing
changes made to b12fc13c5852efa4c335377164d9b7e5d9227a8a.

* style

* [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.