code: def view_as_real(input):
      if not ivy.is_complex_dtype(input):
          raise ivy.exceptions.IvyError(
              "view_as_real is only supported for complex tensors"
          )
      re_part = ivy.real(input)
      im_part = ivy.imag(input)
      return ivy.stack((re_part, im_part), axis=-1)
  
imports: import ivy
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ivy.functional.frontends.torch.func_wrapper import to_ivy_arrays_and_back
  from ivy.functional.frontends.torch import promote_types_of_torch_inputs
  import ivy.functional.frontends.torch
label_desc: Use image node_id 44 for calling a global function with example usage: view_as_real(input) and returns: ivy