code: def main(unused_argv):
      tf.logging.set_verbosity(FLAGS.log)
  
      config = improv_rnn_config_flags.config_from_flags()
      pipeline_instance = improv_rnn_pipeline.get_pipeline(
          config, FLAGS.eval_ratio
      )
  
      FLAGS.input = os.path.expanduser(FLAGS.input)
      FLAGS.output_dir = os.path.expanduser(FLAGS.output_dir)
      pipeline.run_pipeline_serial(
          pipeline_instance,
          pipeline.tf_record_iterator(
              FLAGS.input, pipeline_instance.input_type
          ),
          FLAGS.output_dir,
      )
  
imports: import os
  from magenta.models.improv_rnn import improv_rnn_config_flags
  from magenta.models.improv_rnn import improv_rnn_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