[Feature Request] SpaceToDepth & DepthToSpace integer implementations

[mcollinswisc]

Describe the feature request

The DepthToSpace and SpaceToDepth ops support integer types:
https://github.com/onnx/onnx/blob/38afbd31ac9a585abb7463dcaaae121651e0a2d7/docs/Operators.md#DepthToSpace
https://github.com/onnx/onnx/blob/38afbd31ac9a585abb7463dcaaae121651e0a2d7/docs/Operators.md#SpaceToDepth

There's currently only implementations for float and double in CPU:
https://github.com/microsoft/onnxruntime/blob/4c3c809bdbcde4ea96f0a31a242ca6877a10c40a/onnxruntime/core/providers/cpu/tensor/space_depth_ops.cc
and float16 in CUDA:
https://github.com/microsoft/onnxruntime/blob/4c3c809bdbcde4ea96f0a31a242ca6877a10c40a/onnxruntime/core/providers/cuda/tensor/space_depth_ops.cc

Describe scenario use case

Running quantized models

[skottmckay]

Should be relatively simple to try out given the implementations are templatized.

You could extend the list of supported types in the type constraints for the latest opset and add a new branch in the Compute.

onnxruntime/onnxruntime/core/providers/cpu/tensor/space_depth_ops.cc

Lines 28 to 29 in 4c3c809

	.TypeConstraint("T", {DataTypeImpl::GetTensorType<float>(),
	DataTypeImpl::GetTensorType<double>()}),

onnxruntime/onnxruntime/core/providers/cpu/tensor/space_depth_ops.cc

Lines 53 to 54 in 4c3c809

	.TypeConstraint("T", {DataTypeImpl::GetTensorType<float>(),
	DataTypeImpl::GetTensorType<double>()}),

onnxruntime/onnxruntime/core/providers/cpu/tensor/space_depth_ops.cc

Line 135 in 4c3c809

} else {

Ideally uint8 and int8 are handled in the same branch given they're the same datasize (i.e. we don't want to pay the binary size cost for 2 implementation moving 8-bit data around).

The CUDA implementation seems to be pretty generic already and may just need the addition of the data types in the type constraints.

The kernel registrations in the EPs aren't typed (i.e. the kernel implementation is internally handling the different supported data types) so you shouldn't need to do anything there.