code: def test_spectrogram(self, kwargs):
      # replication_pad1d_backward_cuda is not deteministic and
      # gives very small (~2.7756e-17) difference.
      #
      # See https://github.com/pytorch/pytorch/issues/54093
      transform = T.Spectrogram(**kwargs)
      waveform = get_whitenoise(
          sample_rate=8000, duration=0.05, n_channels=2
      )
      self.assert_grad(transform, [waveform], nondet_tol=1e-10)
  
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 2 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_spectrogram(kwargs) without return types