docstr: ivy.Container instance method variant of ivy.gather_nd. This method
  simply wraps the function, and so the docstring for ivy.gather_nd also
  applies to this method with minimal changes.
  
  Parameters
  ----------
  self
      The container from which to gather values.
  indices
      Index array or container.
  batch_dims
      optional int, lets you gather different items from each element of a batch.
  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 container, for writing the result to. It must have a shape
      that the inputs broadcast to.
  
  Returns
  -------
  ret
      New container of given shape, with the values gathered at the indices.
  
  Examples
  --------
  >>> x = ivy.Container(a=ivy.array([[[0., 10.], [20.,30.]],
  ...                                [[40.,50.], [60.,70.]]]),
  ...                   b=ivy.array([[[0., 100.], [200.,300.]],
  ...                                [[400.,500.],[600.,700.]]]))
  >>> y = ivy.Container(a=ivy.array([1,0]),
  ...                   b=ivy.array([0]))
  >>> z = x.gather_nd(y)
  >>> print(z)
  {
      a: ivy.array([40., 50.]),
      b: ivy.array([[0., 100.],
                  [200., 300.]])
  }
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code: def gather_nd(
      self: ivy.Container,
      indices: Union[ivy.Container, ivy.Array, ivy.NativeArray],
      /,
      *,
      batch_dims: Union[int, ivy.Container] = 0,
      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.gather_nd. This method
      simply wraps the function, and so the docstring for ivy.gather_nd also
      applies to this method with minimal changes.
  
      Parameters
      ----------
      self
          The container from which to gather values.
      indices
          Index array or container.
      batch_dims
          optional int, lets you gather different items from each element of a batch.
      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 container, for writing the result to. It must have a shape
          that the inputs broadcast to.
  
      Returns
      -------
      ret
          New container of given shape, with the values gathered at the indices.
  
      Examples
      --------
      >>> x = ivy.Container(a=ivy.array([[[0., 10.], [20.,30.]],
      ...                                [[40.,50.], [60.,70.]]]),
      ...                   b=ivy.array([[[0., 100.], [200.,300.]],
      ...                                [[400.,500.],[600.,700.]]]))
      >>> y = ivy.Container(a=ivy.array([1,0]),
      ...                   b=ivy.array([0]))
      >>> z = x.gather_nd(y)
      >>> print(z)
      {
          a: ivy.array([40., 50.]),
          b: ivy.array([[0., 100.],
                      [200., 300.]])
      }
      """
      return self._static_gather_nd(
          self,
          indices,
          batch_dims=batch_dims,
          key_chains=key_chains,
          to_apply=to_apply,
          prune_unapplied=prune_unapplied,
          map_sequences=map_sequences,
          out=out,
      )
  
imports: from numbers import Number
  from typing import Any, Union, List, Dict, Iterable, Optional, Callable
  from ivy.data_classes.container.base import ContainerBase
  import ivy
label_desc: Use image node_id 30 for calling the _ContainerWithGeneral obj's underlying member method code with example usage: obj.gather_nd() and returns: self