docstr: Examples
  --------
  >>> x = ivy.Container(a=ivy.array([1, 2, 3]), b=ivy.array([2, 3, 4]))
  >>> y = x.dtype()
  >>> print(y)
  {
      a: int32,
      b: int32
  }
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code: def dtype(
      self: ivy.Container,
      *,
      as_native: Union[bool, ivy.Container] = False,
      key_chains: Optional[
          Union[List[str], Dict[str, str], ivy.Container]
      ] = None,
      to_apply: Union[bool, ivy.Container] = True,
      prune_unapplied: Union[bool, ivy.Container] = False,
      map_sequences: Union[bool, ivy.Container] = False,
      out: Optional[ivy.Container] = None,
  ) -> ivy.Container:
      """
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([1, 2, 3]), b=ivy.array([2, 3, 4]))
      >>> y = x.dtype()
      >>> print(y)
      {
          a: int32,
          b: int32
      }
      """
      return self._static_dtype(
          self,
          as_native=as_native,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from typing import Optional, Union, List, Dict, Tuple, Callable
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 10 for calling the _ContainerWithDataTypes obj's underlying member method code with example usage: obj.dtype() and returns: self