code: def main(argv):
      del argv  # Unused.
      gin.parse_config_files_and_bindings(
          FLAGS.gin_configs, FLAGS.gin_bindings
      )
  
      tf.io.gfile.makedirs(FLAGS.summary_dir)
      save_gin_config(
          gin.config_str(),
          os.path.join(FLAGS.summary_dir, "config.parsed.gin"),
      )
  
      if FLAGS.run_train:
          trainer.train(
              ckpt_dir=FLAGS.ckpt_dir, summary_dir=FLAGS.summary_dir
          )
      if FLAGS.run_eval:
          evaluator.evaluate(
              ckpt_dir=FLAGS.ckpt_dir, summary_dir=FLAGS.summary_dir
          )
  
      save_gin_config(
          gin.operative_config_str(),
          os.path.join(FLAGS.summary_dir, "config.operative.gin"),
      )
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/main.py
imports: import os
  from absl import app
  from absl import flags
  import gin
  from multi_representation_adversary import evaluator
  from multi_representation_adversary import trainer
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling a global function with example usage: main(argv) without return types