code: def dtype(x: paddle.Tensor, *, as_native: bool = False) -> ivy.Dtype:
      if as_native:
          return ivy.to_native(x).dtype
      return as_ivy_dtype(x.dtype)
  
imports: from typing import Optional, Union, Sequence, List
  import paddle
  import ivy.functional.backends.paddle
  import numpy
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.data_type import _handle_nestable_dtype_info
  from .None import backend_version
label_desc: Use image node_id 9 for calling a global function with example usage: dtype(x) and returns: as_ivy_dtype, ivy