code: def test_spectral_centroid(self):
      sample_rate = 8000
      transform = T.SpectralCentroid(sample_rate=sample_rate)
      waveform = get_whitenoise(
          sample_rate=sample_rate, 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 14 for calling the AutogradTestMixin obj's underlying member method code with example usage: obj.test_spectral_centroid() without return types