* Update ONNX importer Gemm to produce MatMul op

* Address opset3 bug

* Move non-primitive attribute adapters to adaptee's files

* Cast in copy

* Fix incorrect uses of `description()`

* type-o/namespace

* - Op defination for cummalative sum

* WIP reference kernel for cummulative sum

* - unit test case for default cum_sum
- addition ctor for cumsum to accept axis as a integer insted of Node
type
- style fix

* - add serializer support
- fix failing unit test case
- update Op in the interpreter dispatcher

* - CPU builder and DEX support for CumSum

* - implemented mapping tensor elements to corrosponding axis

* - unit test for multiple dims
- fix axis in the op defination
- support for reference kernel to compute across all axis

* - added support for exclusive and reverse modes
- more unit test case for all modes

* - codegen support for CumSum
- disable CumSum unit test for PlaidML

* -Add missing header to  codegen stream writer

* fixed codegen writer

* change return type of exclusive and reverse to bool

* - support for dynamic shape
- support to handle all tensor types in CPU builder

* - add support for interpreter to handle different axis types

* Style fix

* Adding default ctor

* Address PR feedback

* Support string casting to AutoBroadcastSpec

* Make string values consistent

* Enable pipelining in CPU Backend

* Applying clang-formatting to my previous commit

* Changing CPU backend test. executable_can_create_tensor will now return true

* Moved OneHot to v0

* Introduced OneHot:v1

* Added shape calculation for OneHot:v1

* Added element types checking

* Added output shape tests

* Added tests to checking if inputs are scalars

* Updated OneHot:v1 doc

* Implemented OneHot:v1 downgrade pass

* Using OneHot:v1 in onnx_importer

* Implemented OneHot:v0 upgrade

* Fixed OneHot onnx_importer

* Refactored normalize_axis

* Added OneHot:v1 serialized

* Code review remarks introduced

* Added doc to normalize_axis

* Matmul float type test case for UEP
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>

* Removed microsoft ops domains and ran clang-format
Signed-off-by: suryasidd <surya.siddharth.pemmaraju@intel.com>

* Make Node's type_info mandatory

* Add ReplaceSlice to ZeroDimTensorEliminiation pass (#3899)

* Add ReplaceSlice to ZeroDimTensorEliminiation pass

* style

* Force Gelu decompose on CPU (#3902)

* Put all the op header includes in one header file, ops.hpp

* Update ops.hpp

* Stub for CropAndResize

* Cut and pasteo

* Need a cast

* Construct HardSigmoid with alpha and beta as inputs

* Switch to the new HardSigmoid constructor entirely

* Broadcast with numpy style in hard sigmoid

* Python bindings adjustment to the new constructor

* Different way of creating constants

* Accept scalars instead of 1D vectors for alpha and beta

* Adjust the python tests to the new HardSigmoid constructor

* Use v1 ops in fused HardSigmoid

* Relax the static shape requirement for alpha and beta

* Fix merge

* Address op_tbl issues

* fix

* fix

* fix

* Cleanup

* cleanup

* cleanup

* More fixes

* Revert ser changes

* Compiles

* opset conversion fixed

* Fix opset conversion tests

* Deal with Reciprocal and FloorMod movement

* Cleanup

* Remove duplicate enums

* Experiment

* experiment

* Types

* Reorg around clang 3.9 bug

* Initial commit

* Add decompose_op and unit-test

* Style fix

* Fix CI error

* Address review comments

* Remove CPUBatchFusion

* Address review feedback

* Address review feedback

* Added type_prop tests

* Moved 1 test from cpu to core to keep together

* Address PR comments

* Fix style

* Added U1 precision for binary weights

* Handle switch cases with u1 type

* Fixed code style

* Added convert_to_string support for u1 type

* Use real C type  for u1 type.
Co-Authored-By: Robert Kimball <robert.kimball@intel.com>

* fix for shape inference of tensor iterator body

* updated unit test for case end = -2

* indexes in unit tests

* Updated formula for num_iterations

* Added downgrade pass for Softmax.

* Updated Softmax op to v1.

* Created vector with a right capacity.

* Include numeric header to enable std::iota function

* Removed unused numeric header from the old file

* Fix includes style

* Fix for windows ninja

* Fix for centos build

* Remove fix for centosa

* [SPEC] Add new v1::VariadicSplit operator

* Add missing namespace, fix a typo in doc

* Apply suggestions from code review
Co-Authored-By: Michał Karzyński <postrational@users.noreply.github.com>

* Style fix

* Set all of the inputs to be relevant to output shape

* Set output type if numer of outputs is known

* Add node validation for known input

* Updated unit test to reproduce a bug

* Code style

* Add exports

* Added missed export

* New ToC

* Working on docplan

* Clean up for toc

* Link to existing APIs on quantization doc

* Better align topics with docplan ToC; add section for dyn shapes

* Title casing to be consistent

* PR reviews

* New build preview

* Add default opset version, new versioning schema

* Remove duplicate file causing doc build warning

* - Implementaion of CrossEntropy and CrossEntropyBackprop as fused Op's

* - unit test case for CE fprop
- fix bug in decompose_op

* WIP debug PDPD unit test failure

* fixed broadcasting issue

* -fix bdcast issue for multi dim tensor

* utilities to restore the original tensor shape

* i) style-fix ii) rename variables

* - unit test for multiple dimensions ii) refactor create_mask to seperate function

* - fixed unit tests

* fix style

* set output element type to dynamic in pre_validate and infer shape

* disable ce with one hot unit test on PlaidML

* add CE op to fused_op_tbl

* - add serialzier support for CE and CE Backprop

* Add ReplaceSlice to ZeroDimTensorEliminiation pass

* style

Deprecate runtime::Tensor::copy_from

Modify Gather constant folding to support v1 op.