code: def _MakeLogMel(audio, sample_rate):
      audio = tf.expand_dims(audio, axis=0)
      static_sample_rate = 16000
      mel_frontend = _CreateAsrFrontend()
      with tf.control_dependencies(
          [tf.assert_equal(sample_rate, static_sample_rate)]
      ):
          log_mel, _ = mel_frontend.FPropDefaultTheta(audio)
      return log_mel
  
file_path: cleverhans/cleverhans_v3.1.0/examples/adversarial_asr/tool.py
imports: from tensorflow.python import pywrap_tensorflow
  import numpy
  import tensorflow
  from lingvo.core import asr_frontend
  from lingvo.core import py_utils
label_desc: Use image node_id 1 for calling a global function with example usage: _MakeLogMel(audio, sample_rate) and returns: log_mel