code: def read_wav(wavfile, params):
      """samples of shape [nsample]"""
      contents = tf.read_file(wavfile)
      # pylint: disable=no-member
      waveforms = tf.audio.decode_wav(
          contents,
          desired_channels=params.audio_channels,
          # desired_samples=params.audio_sample_rate,
      )
      return tf.squeeze(waveforms.audio, axis=-1)
  
file_path: delta/delta/data/feat/tf_speech_feature.py
imports: import functools
  import numpy
  import delta.compat
  import scipy.signal
  from delta import utils
  from delta.utils.hparam import HParams
label_desc: Use image node_id 3 for calling a global function with example usage: read_wav(wavfile, params) and returns: tf