Convolution group operations alignment (#4387)

* Convolution: Enhance dynamic shape inference of validate and infer types method

* Convolution: Change onnx test with dynamic shapes to float element type

* Convolution: Remove test instances with integer precision

* Convolution: Add backticks to types in spec

* Convolution: Change element type variable for output element type

* GroupConvolution: Add backticks to types in spec

* GroupConvolution: Enhance dynamic shape inference of validate and infer types method

* GroupConvolution: Remove serialization test instances with integer precision

* GroupConvolutionBackpropData: Remove serialization test instances with integer precision

* GroupConvolutionBackpropData: Enhance dynamic shape inference of validate and infer types method

* Convolution: Add helper function to validate convolution parameters in ref impl

* Convolution: Rewrite lambda to capture spatial dims of filters in validate and infer types

* GroupConvolution: Refactor reference implementation

* Remove call to old implementation of convolution using dilations
* Added validation method to validate shapes

* GroupConvolutionBackpropData: Add more type_prop unit test and refactor test names

* Convolution: Extended validation of convolution parameters in reference implementation

* GroupConvolution: Extended validation of group convolution parameters in reference implementation

* GroupConvolutionBackpropData: Add helper function to validate convolution backprop parameters in ref impl

* Clean up unnecessary lines

* BinaryConvolution: Use validate helper function from convolution ref impl

* Convolution: Refactor validate and infer types to improve readability

* BinaryConvolution: Refactor validate and infer types to improve readability

* Convolution: Add explicit tensor shape dims for inputs and outputs in spec

* BinaryConvolution: Add explicit tensor shape dims for inputs and outputs in spec

* GroupConvolution: Add explicit tensor shape dims for inputs and outputs in spec

* Add helper function to infer convolution forward output shape

* Convolution: Refactor validate and infer types to use helpers to infer output shape

* BinaryConvolution: Refactor validate and infer types to use helpers to infer output shape

* GroupConvolutionBackpropData: Fix formula to calculate output shape in validation functions

* Remove symbol to export convolution output shape inference function

* GroupConvolution: Add validation checks for input channels dim of data batch and filter shape

* GroupConvolutionBackpropData: clean up type prop tests

* Convolution: Change element type in onnx unit tests with dyn shapes and convolution nodes

* GroupConvolutionBackpropData: Correct layout of filters input

* GroupConvolution: Deduce groups from inputs shape during output shape inference

* Change spec supported types of convolution operations to any numeric type

* Revert "GroupConvolution: Remove serialization test instances with integer precision"

This reverts commit 781c2570d6.

* Revert "GroupConvolutionBackpropData: Remove serialization test instances with integer precision"

This reverts commit 9a6ac23968.

* Revert "Convolution: Remove test instances with integer precision"

This reverts commit 0b07052a62.

* Revert "Convolution: Change element type in onnx unit tests with dyn shapes and convolution nodes"

This reverts commit c9f5944b6b.

* Revert "Convolution: Change onnx test with dynamic shapes to float element type"

This reverts commit 1f4202b010.

* Allow integral types in validate and infer types method for convolution group of operations

* Add i32 precision in single layer tests for convolution group of operations

* BinaryConvolution: Fix shape of input and output tensors in spec

* Address nitpick comments

docs/ops/convolution/DeformableConvolution_1.md

@@ -88,7 +88,7 @@
 
 **Types**:
 
-* *T*: Any floating point type.
+* *T*: Any numeric type.
  
 **Example**