code: def fold(
      x: Union[ivy.Array, ivy.NativeArray],
      /,
      mode: int,
      shape: Union[ivy.Shape, ivy.NativeShape, Sequence[int]],
      *,
      out: Optional[ivy.Array] = None,
  ) -> ivy.Array:
      """Refolds the mode-`mode` unfolding into a tensor of shape `shape` In
      other words, refolds the n-mode unfolded tensor into the original tensor of
      the specified shape.
  
      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`
      """
      full_shape = list(shape)
      mode_dim = full_shape.pop(mode)
      full_shape.insert(0, mode_dim)
      return ivy.moveaxis(ivy.reshape(x, full_shape), 0, mode, out=out)
  
imports: from typing import Optional, Union, Tuple, Iterable, Sequence, Callable, Any, Literal, List
  from numbers import Number
  from functools import partial
  import math
  import ivy
  from ivy.func_wrapper import handle_out_argument, handle_partial_mixed_function, to_native_arrays_and_back, inputs_to_native_shapes, handle_nestable, handle_array_like_without_promotion, handle_view, inputs_to_ivy_arrays, handle_array_function, handle_device, handle_backend_invalid
  from ivy.functional.ivy.general import _numel
  from ivy.utils.backend import current_backend
  from ivy.utils.exceptions import handle_exceptions
label_desc: Use image node_id 49 for calling a global function with example usage: fold(mode, shape) and returns: ivy