docstr: Check if kwargs get correctly passed to the underlying Spectrogram transform.
docstr_tok: ["Check","if","kwargs","get","correctly","passed","to","the","underlying","Spectrogram","transform","."]
code: def test_lfcc_arg_passthrough(self):
      """Check if kwargs get correctly passed to the underlying Spectrogram transform."""
      sample_rate = 16000
      audio = common_utils.get_whitenoise(sample_rate=sample_rate)
  
      n_lfcc = 40
      n_filter = 128
      speckwargs = {"win_length": 200}
      lfcc_transform = torchaudio.transforms.LFCC(
          sample_rate=sample_rate,
          n_filter=n_filter,
          n_lfcc=n_lfcc,
          norm="ortho",
          speckwargs=speckwargs,
      )
      torch_lfcc = lfcc_transform(audio)  # (1, 40, 161)
      self.assertEqual(torch_lfcc.shape[2], 161)
  
imports: import math
  import torch
  import torchaudio
  import torchaudio.functional
  import torchaudio.transforms
  from torchaudio_unittest import common_utils
label_desc: Use image node_id 11 for calling the Tester obj's underlying member method code with example usage: obj.test_lfcc_arg_passthrough() without return types