code: def test_masking(self, masking_transform):
      sample_rate = 8000
      n_fft = 400
      spectrogram = get_spectrogram(
          get_whitenoise(
              sample_rate=sample_rate, duration=0.05, n_channels=2
          ),
          n_fft=n_fft,
          power=1,
      )
      deterministic_transform = _DeterministicWrapper(
          masking_transform(400)
      )
      self.assert_grad(deterministic_transform, [spectrogram])
  
imports: import unittest
  from typing import List
  import torch
  import torchaudio.transforms
  from parameterized import parameterized
  from torch.autograd import gradcheck, gradgradcheck
  from torchaudio_unittest.common_utils import get_spectrogram, get_whitenoise, nested_params, rnnt_utils, TestBaseMixin
label_desc: Use image node_id 11 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_masking(masking_transform) without return types