* 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
* Fix missed/redundant attrs for some operations
* Align auto_pad attr values in spec
* Update MO IR Reader extenders for appropriate operations
* Allign auto_pad attr values for appropriate operations
* Remove changes in extenders
* Update backend_attrs for some operations
* Changes in shape_infer functions to correct work with explicit mode
* Apply offline comments
