code: def load_wav_file(filename):
      """Loads an audio file and returns a float PCM-encoded array of samples.
  
      Args:
        filename: Path to the .wav file to load.
  
      Returns:
        Numpy array holding the sample data as floats between -1.0 and 1.0.
      """
      with tf.compat.v1.Session(graph=tf.Graph()) as sess:
          wav_filename_placeholder = tf.compat.v1.placeholder(
              tf.string, []
          )
          wav_loader = io_ops.read_file(wav_filename_placeholder)
          wav_decoder = tf.audio.decode_wav(
              wav_loader, desired_channels=1
          )
          return sess.run(
              wav_decoder,
              feed_dict={wav_filename_placeholder: filename},
          ).audio.flatten()
  
imports: import hashlib
  import math
  import os.path
  import random
  import re
  import sys
  import tarfile
  import numpy
  import urllib
  import tensorflow
  from tensorflow.python.ops import gen_audio_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.util import compat
label_desc: Use image node_id 3 for calling a global function with example usage: load_wav_file(filename) and returns: sess