code: def main(_):
      logging.set_verbosity(logging.INFO)
      tf.enable_v2_behavior()
  
      gin.parse_config_files_and_bindings(
          FLAGS.gin_file, FLAGS.gin_bindings
      )
  
      strategy = strategy_utils.get_strategy(FLAGS.tpu, FLAGS.use_gpu)
  
      train(
          root_dir=FLAGS.root_dir,
          environment_name=FLAGS.env_name,
          strategy=strategy,
          replay_buffer_server_address=FLAGS.replay_buffer_server_address,
          variable_container_server_address=FLAGS.variable_container_server_address,
      )
  
imports: import os
  from typing import Callable, Text
  from absl import app
  from absl import flags
  from absl import logging
  import gin
  import tensorflow.compat.v2
  from tf_agents.agents import tf_agent
  from tf_agents.agents.ddpg import critic_network
  from tf_agents.agents.sac import sac_agent
  from tf_agents.agents.sac import tanh_normal_projection_network
  from tf_agents.environments import py_environment
  from tf_agents.environments import suite_mujoco
  from tf_agents.experimental.distributed import reverb_variable_container
  from tf_agents.networks import actor_distribution_network
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.system import system_multiprocessing
  from tf_agents.train import learner
  from tf_agents.train import triggers
  from tf_agents.train.utils import spec_utils
  from tf_agents.train.utils import strategy_utils
  from tf_agents.train.utils import train_utils
  from tf_agents.trajectories import time_step
  from tf_agents.typing import types
label_desc: Use image node_id 3 for calling a global function with example usage: main(_) without return types