code: def main(argv):
      run(
          argv,
          config_map=configs.CONFIG_MAP,
          data_fn=data.provide_batch,
      )
  
file_path: magenta/magenta/models/onsets_frames_transcription/onsets_frames_transcription_transcribe.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from magenta.models.onsets_frames_transcription import audio_label_data_utils
  from magenta.models.onsets_frames_transcription import configs
  from magenta.models.onsets_frames_transcription import data
  from magenta.models.onsets_frames_transcription import infer_util
  from magenta.models.onsets_frames_transcription import train_util
  from note_seq import midi_io
  from note_seq.protobuf import music_pb2
  import six
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling a global function with example usage: main(argv) without return types