[mlir][bufferization] Add `BufferizableOpInterface::hasTensorSemantics` (#75273)

Add a new interface method to `BufferizableOpInterface`:
`hasTensorSemantics`. This method returns "true" if the op has tensor
semantics and should be bufferized.

Until now, we assumed that an op has tensor semantics if it has tensor
operands and/or tensor op results. However, there are ops like
`ml_program.global` that do not have any results/operands but must still
be bufferized (#75103). The new interface method can return "true" for
such ops.

This change also decouples `bufferization::bufferizeOp` a bit from the
func dialect.