code: def ifftn(
      x: np.ndarray,
      s: Optional[Union[int, Tuple[int]]] = None,
      axes: Optional[Union[int, Tuple[int]]] = None,
      *,
      norm: str = "backward",
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      return np.fft.ifftn(x, s, axes, norm).astype(x.dtype)
  
imports: import math
  import numpy
  from typing import Optional, Union, Tuple, List, Literal, Sequence, Callable
  import ivy
  from ivy.functional.ivy.layers import _handle_padding, _get_num_padded_values, _validate_max_pool_params, _depth_max_pooling_helper
  from ivy.functional.backends.numpy.layers import _add_dilations
  from ivy.functional.ivy.experimental.layers import _padding_ceil_mode
  from ivy.func_wrapper import with_supported_dtypes
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
label_desc: Use image node_id 17 for calling a global function with example usage: ifftn(x, s, axes) and returns: np