code: def idct(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      type: Literal[1, 2, 3, 4] = 2,
      n: Optional[int] = None,
      axis: int = -1,
      norm: Optional[Literal["ortho"]] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> tf.Tensor:
      inverse_type = {1: 1, 2: 3, 3: 2, 4: 4}[type]
      return dct(
          x, type=inverse_type, n=n, axis=axis, norm=norm, out=out
      )
  
imports: import math
  from typing import Union, Optional, Tuple, List, Literal, Sequence, Callable
  import tensorflow
  from ivy.func_wrapper import inputs_to_ivy_arrays, output_to_native_arrays, with_unsupported_dtypes, with_supported_dtypes, with_supported_device_and_dtypes
  from ..None import backend_version
  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.ivy.experimental.layers import _padding_ceil_mode, _get_size
label_desc: Use image node_id 11 for calling a global function with example usage: idct() and returns: dct