class_docstr: Test the ImperceptibleASR attack.
class_docstr_tok: ["Test","the","ImperceptibleASR","attack","."]
code: def test_loss_gradient_masking_threshold_tf(
      self, art_warning, asr_dummy_estimator, audio_batch_padded
  ):
      try:
          import tensorflow.compat.v1 as tf1
  
          tf1.reset_default_graph()
  
          test_delta = audio_batch_padded
          test_psd_maximum = np.ones((test_delta.shape[0]))
          test_masking_threshold = np.zeros(
              (test_delta.shape[0], 1025, 28)
          )
  
          imperceptible_asr = ImperceptibleASR(
              estimator=asr_dummy_estimator(),
              masker=PsychoacousticMasker(),
          )
          feed_dict = {
              imperceptible_asr._delta: test_delta,
              imperceptible_asr._power_spectral_density_maximum_tf: test_psd_maximum,
              imperceptible_asr._masking_threshold_tf: test_masking_threshold,
          }
          with tf1.Session() as sess:
              loss_gradient, loss = sess.run(
                  imperceptible_asr._loss_gradient_masking_threshold_op_tf,
                  feed_dict,
              )
  
          assert loss_gradient.shape == test_delta.shape
          assert loss.ndim == 1 and loss.shape[0] == test_delta.shape[0]
      except ARTTestException as e:
          art_warning(e)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from art.attacks.attack import EvasionAttack
  from art.attacks.evasion.imperceptible_asr.imperceptible_asr import ImperceptibleASR, PsychoacousticMasker
  from tests.utils import ARTTestException
label_desc: Use image node_id 8 for calling the TestImperceptibleASR obj's underlying member method code with example usage: obj.test_loss_gradient_masking_threshold_tf(art_warning, asr_dummy_estimator, audio_batch_padded) without return types