code: def test_masking_iid(self, masking_transform):
      sample_rate = 8000
      n_fft = 400
      specs = [
          get_spectrogram(
              get_whitenoise(
                  sample_rate=sample_rate,
                  duration=0.05,
                  n_channels=2,
                  seed=i,
              ),
              n_fft=n_fft,
              power=1,
          )
          for i in range(3)
      ]
  
      batch = torch.stack(specs)
      assert batch.ndim == 4
      deterministic_transform = _DeterministicWrapper(
          masking_transform(400, True)
      )
      self.assert_grad(deterministic_transform, [batch])
  
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 12 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_masking_iid(masking_transform) without return types