code: def test_griffinlim(self, momentum, rand_init):
      n_fft = 80
      power = 1
      n_iter = 2
  
      spec = get_spectrogram(
          get_whitenoise(sample_rate=8000, duration=0.01, n_channels=2),
          n_fft=n_fft,
          power=power,
      )
      transform = _DeterministicWrapper(
          T.GriffinLim(
              n_fft=n_fft,
              n_iter=n_iter,
              momentum=momentum,
              rand_init=rand_init,
              power=power,
          )
      )
      self.assert_grad(transform, [spec])
  
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 5 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_griffinlim(momentum, rand_init) without return types