code: def parse_example(example_proto):
      features = {
          "id": tf.FixedLenFeature(shape=(), dtype=tf.string),
          "sequence": tf.FixedLenFeature(shape=(), dtype=tf.string),
          "audio": tf.FixedLenFeature(shape=(), dtype=tf.string),
          "velocity_range": tf.FixedLenFeature(
              shape=(), dtype=tf.string
          ),
      }
      record = tf.parse_single_example(example_proto, features)
      return record
  
imports: import collections
  import functools
  import io
  import re
  import wave
  import zlib
  import librosa
  from magenta.models.onsets_frames_transcription import audio_transform
  from magenta.models.onsets_frames_transcription import constants
  from magenta.models.onsets_frames_transcription import drum_mappings
  from magenta.models.onsets_frames_transcription import melspec_input
  from note_seq import audio_io
  from note_seq import sequences_lib
  from note_seq.protobuf import music_pb2
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 18 for calling a global function with example usage: parse_example(example_proto) and returns: record