docstr: ivy.Container instance method variant of ivy.zero_pad. This method
  simply wraps the function, and so the docstring for ivy.zero_pad also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      Input array to pad.
  pad_width
      Number of values padded to the edges of each axis. Specified as
      ((before_1, after_1), … (before_N, after_N)),
      where N is number of axes of x.
  key_chains
      The key-chains to apply or not apply the method to. Default is ``None``.
  to_apply
      If True, the method will be applied to key_chains, otherwise key_chains
      will be skipped. Default is ``True``.
  prune_unapplied
      Whether to prune key_chains for which the function was not applied.
      Default is ``False``.
  map_sequences
      Whether to also map method to sequences (lists, tuples).
      Default is ``False``.
  out
      optional output array, for writing the result to.
      It must have a shape that the inputs broadcast to.
  
  Returns
  -------
  ret
      Padded array of rank equal to x with shape increased according to pad_width.
  
  Examples
  --------
  With :class:`ivy.Container` input:
  
  >>> x = ivy.Container(a = ivy.array([1., 2., 3.]), b = ivy.array([3., 4., 5.]))
  >>> y = x.zero_pad(pad_width = [[2, 3]])
  >>> print(y)
  {
      a: ivy.array([0., 0., 1., 2., 3., 0., 0., 0.]),
      b: ivy.array([0., 0., 3., 4., 5., 0., 0., 0.])
  }
code: def zero_pad(
      self: ivy.Container,
      /,
      pad_width: Union[Iterable[Tuple[int]], ivy.Container],
      *,
      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:
      """ivy.Container instance method variant of ivy.zero_pad. This method
      simply wraps the function, and so the docstring for ivy.zero_pad also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          Input array to pad.
      pad_width
          Number of values padded to the edges of each axis. Specified as
          ((before_1, after_1), … (before_N, after_N)),
          where N is number of axes of x.
      key_chains
          The key-chains to apply or not apply the method to. Default is ``None``.
      to_apply
          If True, the method will be applied to key_chains, otherwise key_chains
          will be skipped. Default is ``True``.
      prune_unapplied
          Whether to prune key_chains for which the function was not applied.
          Default is ``False``.
      map_sequences
          Whether to also map method to sequences (lists, tuples).
          Default is ``False``.
      out
          optional output array, for writing the result to.
          It must have a shape that the inputs broadcast to.
  
      Returns
      -------
      ret
          Padded array of rank equal to x with shape increased according to pad_width.
  
      Examples
      --------
      With :class:`ivy.Container` input:
  
      >>> x = ivy.Container(a = ivy.array([1., 2., 3.]), b = ivy.array([3., 4., 5.]))
      >>> y = x.zero_pad(pad_width = [[2, 3]])
      >>> print(y)
      {
          a: ivy.array([0., 0., 1., 2., 3., 0., 0., 0.]),
          b: ivy.array([0., 0., 3., 4., 5., 0., 0., 0.])
      }
      """
      return self._static_zero_pad(
          self,
          pad_width,
          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, Tuple, Dict, Iterable, Sequence
  from numbers import Number
  import ivy
  from ivy.data_classes.container.base import ContainerBase
label_desc: Use image node_id 26 for calling the _ContainerWithManipulation obj's underlying member method code with example usage: obj.zero_pad(pad_width) and returns: self