code: def main(unused_argv):
      tf.logging.set_verbosity(FLAGS.log)
  
      pipeline_instance = pianoroll_pipeline.get_pipeline(
          min_steps=80,  # 5 measures
          max_steps=2048,
          eval_ratio=FLAGS.eval_ratio,
          config=pianoroll_rnn_nade_model.default_configs[FLAGS.config],
      )
  
      input_dir = os.path.expanduser(FLAGS.input)
      output_dir = os.path.expanduser(FLAGS.output_dir)
      pipeline.run_pipeline_serial(
          pipeline_instance,
          pipeline.tf_record_iterator(
              input_dir, pipeline_instance.input_type
          ),
          output_dir,
      )
  
imports: import os
  from magenta.models.pianoroll_rnn_nade import pianoroll_rnn_nade_model
  from magenta.pipelines import pianoroll_pipeline
  from magenta.pipelines import pipeline
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: main(unused_argv) without return types