code: def test_sliding_window_cmn(self, kwargs):
      n_fft = 10
      power = 1
      spec = get_spectrogram(
          get_whitenoise(sample_rate=200, duration=0.05, n_channels=2),
          n_fft=n_fft,
          power=power,
      )
      spec_reshaped = spec.transpose(-1, -2)
  
      transform = T.SlidingWindowCmn(**kwargs)
      self.assert_grad(transform, [spec_reshaped])
  
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 18 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_sliding_window_cmn(kwargs) without return types