code: def test_matches_reference_implementation(
      self,
      num_mel_bins,
      num_spectrogram_bins,
      sample_rate,
      use_tensor_sample_rate,
      lower_edge_hertz,
      upper_edge_hertz,
      dtype,
  ):
      if use_tensor_sample_rate:
          sample_rate = constant_op.constant(sample_rate)
      mel_matrix_np = spectrogram_to_mel_matrix(
          num_mel_bins,
          num_spectrogram_bins,
          sample_rate,
          lower_edge_hertz,
          upper_edge_hertz,
          dtype,
      )
      mel_matrix = mel_ops.linear_to_mel_weight_matrix(
          num_mel_bins,
          num_spectrogram_bins,
          sample_rate,
          lower_edge_hertz,
          upper_edge_hertz,
          dtype,
      )
      self.assertAllClose(mel_matrix_np, mel_matrix, atol=3e-6)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.signal import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.signal import mel_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the LinearToMelTest obj's underlying member method code with example usage: obj.test_matches_reference_implementation(num_mel_bins, num_spectrogram_bins, sample_rate, use_tensor_sample_rate, lower_edge_hertz, upper_edge_hertz, dtype) without return types