code: def stft(
      signals: Union[tf.Tensor, tf.Variable],
      frame_length: int,
      frame_step: int,
      /,
      *,
      fft_length: Optional[int] = None,
      window_fn: Optional[Callable] = None,
      pad_end: Optional[bool] = False,
      name: Optional[str] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      if not isinstance(frame_length, int):
          raise ivy.utils.exceptions.IvyError(
              f"Expecting <class 'int'> instead of {type(frame_length)}"
          )
  
      if frame_length < 1:
          raise ivy.utils.exceptions.IvyError(
              f"Invalid data points {frame_length}, expecting frame_length larger than or"
              " equal to 1"
          )
  
      if not isinstance(frame_step, int):
          raise ivy.utils.exceptions.IvyError(
              f"Expecting <class 'int'> instead of {type(frame_step)}"
          )
  
      if frame_step < 1:
          raise ivy.utils.exceptions.IvyError(
              f"Invalid data points {frame_length}, expecting frame_length larger than or"
              " equal to 1"
          )
  
      if fft_length is not None:
          if not isinstance(fft_length, int):
              raise ivy.utils.exceptions.IvyError(
                  f"Expecting <class 'int'> instead of {type(fft_length)}"
              )
  
          if fft_length < 1:
              raise ivy.utils.exceptions.IvyError(
                  f"Invalid data points {frame_length}, expecting frame_length larger"
                  " than or equal to 1"
              )
  
      result = tf.signal.stft(
          signals,
          frame_length,
          frame_step,
          fft_length=fft_length,
          window_fn=window_fn,
          pad_end=pad_end,
          name=name,
      )
  
      if out is not None:
          return out
  
      else:
          return result
  
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 47 for calling a global function with example usage: stft() and returns: out, result