docstr: ivy.Array instance method variant of ivy.fold. This method simply
  wraps the function, and so the docstring for ivy.fold also applies to
  this method with minimal changes.
  
  Parameters
  ----------
  input
      unfolded tensor of shape ``(shape[mode], -1)``
  mode
      the mode of the unfolding
  shape
      shape of the original tensor before unfolding
  out
      optional output array, for writing the result to.
  
  Returns
  -------
  ret
      folded_tensor of shape `shape`
code: def fold(
      self: Union[ivy.Array, ivy.NativeArray],
      /,
      mode: int,
      shape: Union[ivy.Shape, ivy.NativeShape, Sequence[int]],
      *,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """ivy.Array instance method variant of ivy.fold. This method simply
      wraps the function, and so the docstring for ivy.fold also applies to
      this method with minimal changes.
  
      Parameters
      ----------
      input
          unfolded tensor of shape ``(shape[mode], -1)``
      mode
          the mode of the unfolding
      shape
          shape of the original tensor before unfolding
      out
          optional output array, for writing the result to.
  
      Returns
      -------
      ret
          folded_tensor of shape `shape`
      """
      return ivy.fold(self._data, mode, shape, out=out)
  
imports: import abc
  from typing import Optional, Union, Sequence, Tuple, List, Iterable, Callable, Literal, Any
  from numbers import Number
  import ivy
  from ivy import handle_view
label_desc: Use image node_id 29 for calling the _ArrayWithManipulationExperimental obj's underlying member method code with example usage: obj.fold(mode, shape) and returns: ivy