code: def read_wav(wavfile, params):
      """
      params:
        wavfile: file name
      returns:
        audio: samples of shape [nsample, channels]
        sample_rate: sample rate
      """
      contents = tf.read_file(wavfile)
      # pylint: disable=no-member
      waveforms = tf.audio.decode_wav(
          contents,
          desired_channels=params.audio_desired_channels,
          desired_samples=params.audio_desired_samples,
      )
      return waveforms.audio, waveforms.sample_rate
  
file_path: delta/delta/data/feat/speech_ops.py
imports: import numpy
  from absl import logging
  import delta.compat
  from tensorflow.python.ops import gen_audio_ops
  from delta import utils
  from delta.utils.hparam import HParams
  from core.ops import py_x_ops
label_desc: Use image node_id 2 for calling a global function with example usage: read_wav(wavfile, params) and returns: waveforms,  waveforms