code: def test_spectral_centroid(self, n_fft, hop_length):
      sample_rate = 16000
      waveform = get_whitenoise(
          sample_rate=sample_rate, n_channels=1
      ).to(self.device, self.dtype)
  
      result = T.SpectralCentroid(
          sample_rate=sample_rate,
          n_fft=n_fft,
          hop_length=hop_length,
      ).to(self.device, self.dtype)(waveform)
      expected = librosa.feature.spectral_centroid(
          y=waveform[0].cpu().numpy(),
          sr=sample_rate,
          n_fft=n_fft,
          hop_length=hop_length,
          pad_mode="reflect",
      )
      self.assertEqual(
          result, torch.from_numpy(expected), atol=5e-4, rtol=1e-5
      )
  
file_path: audio/test/torchaudio_unittest/transforms/librosa_compatibility_test_impl.py
imports: import unittest
  import torch
  import torchaudio.transforms
  from parameterized import param, parameterized
  from torchaudio._internal.module_utils import is_module_available
  from torchaudio_unittest.common_utils import get_sinusoid, get_spectrogram, get_whitenoise, nested_params, TestBaseMixin
label_desc: Use image node_id 7 for calling the TransformsTestBase obj's underlying member method code with example usage: obj.test_spectral_centroid(n_fft, hop_length) without return types