code: def _compare(self, signal, frame_length, frame_step, fft_length, tol):
      actual_stft = spectral_ops.stft(
          signal, frame_length, frame_step, fft_length, pad_end=False
      )
      signal_ph = array_ops.placeholder_with_default(
          signal, shape=signal.shape
      )
      actual_stft_from_ph = spectral_ops.stft(
          signal_ph, frame_length, frame_step, fft_length, pad_end=False
      )
  
      actual_inverse_stft = spectral_ops.inverse_stft(
          actual_stft, frame_length, frame_step, fft_length
      )
  
      (
          actual_stft,
          actual_stft_from_ph,
          actual_inverse_stft,
      ) = self.evaluate(
          [actual_stft, actual_stft_from_ph, actual_inverse_stft]
      )
  
      actual_stft_ph = array_ops.placeholder_with_default(
          actual_stft, shape=actual_stft.shape
      )
      actual_inverse_stft_from_ph = self.evaluate(
          spectral_ops.inverse_stft(
              actual_stft_ph, frame_length, frame_step, fft_length
          )
      )
  
      # Confirm that there is no difference in output when shape/rank is fully
      # unknown or known.
      self.assertAllClose(actual_stft, actual_stft_from_ph)
      self.assertAllClose(
          actual_inverse_stft, actual_inverse_stft_from_ph
      )
  
      expected_stft = SpectralOpsTest._np_stft(
          signal, fft_length, frame_step, frame_length
      )
      self.assertAllClose(
          expected_stft, actual_stft, rtol=tol, atol=tol
      )
  
      expected_inverse_stft = SpectralOpsTest._np_inverse_stft(
          expected_stft, fft_length, frame_step, frame_length
      )
      self.assertAllClose(
          expected_inverse_stft, actual_inverse_stft, rtol=tol, atol=tol
      )
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.signal import spectral_ops
  from tensorflow.python.ops.signal import window_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the SpectralOpsTest obj's underlying member method code with example usage: obj._compare(signal, frame_length, frame_step, fft_length, tol) without return types