code: def main(_):
      logging.set_verbosity(FLAGS.log_level)
  
      _tf_setup_from_flags()
      _gin_parse_configs()
      _jax_and_tf_configure_for_devices()
  
      # Create a JAX GPU cluster if using JAX and given a chief IP.
      if (
          fastmath.is_backend(Backend.JAX)
          and FLAGS.gpu_cluster_chief_ip
      ):
          _make_jax_gpu_cluster(
              FLAGS.gpu_cluster_host_id,
              FLAGS.gpu_cluster_chief_ip,
              FLAGS.gpu_cluster_n_hosts,
              FLAGS.gpu_cluster_port,
          )
  
      if FLAGS.disable_jit:
          fastmath.disable_jit()
  
      output_dir = _output_dir_or_default()
      if FLAGS.use_tpu and fastmath.is_backend(Backend.TFNP):
          _train_using_tf(output_dir)
      else:
          trainer_lib.train(output_dir=output_dir)
  
      trainer_lib.log("Finished training.")
  
imports: import atexit
  import datetime
  import functools
  import os
  from absl import app
  from absl import flags
  from absl import logging
  import gin
  import jax
  from jax.lib import xla_extension
  import tensorflow.compat.v2
  from trax import fastmath
  from trax import trainer_flags
  from trax.supervised import trainer_lib
  from trax.tf_numpy import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: main(_) without return types