code: def test_time_masking_p(self):
      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,
      )
      time_mask = T.TimeMasking(400, iid_masks=False, p=0.1)
      deterministic_transform = _DeterministicWrapper(time_mask)
      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 13 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_time_masking_p() without return types