code: def test_num_spectrogram_bins_dynamic(self):
      num_spectrogram_bins = array_ops.placeholder_with_default(
          ops.convert_to_tensor(129, dtype=dtypes.int32), shape=()
      )
      mel_matrix_np = spectrogram_to_mel_matrix(
          20, 129, 8000.0, 125.0, 3800.0
      )
      mel_matrix = mel_ops.linear_to_mel_weight_matrix(
          20, num_spectrogram_bins, 8000.0, 125.0, 3800.0
      )
      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 5 for calling the LinearToMelTest obj's underlying member method code with example usage: obj.test_num_spectrogram_bins_dynamic() without return types