code: def main(_):
      tf.config.run_functions_eagerly(False)
      logging.set_verbosity(logging.INFO)
      tf.compat.v1.enable_v2_behavior()
      strategy = strategy_utils.get_strategy(FLAGS.tpu, FLAGS.use_gpu)
  
      gin.parse_config_files_and_bindings(
          FLAGS.gin_file, FLAGS.gin_bindings
      )
      logging.info("Gin bindings: %s", FLAGS.gin_bindings)
      logging.info(
          "# Gin-Config:\n %s", gin.config.operative_config_str()
      )
  
      train_eval(
          FLAGS.root_dir,
          strategy=strategy,
          reverb_port=FLAGS.reverb_port,
      )
  
imports: import functools
  import os
  from absl import app
  from absl import flags
  from absl import logging
  import gin
  import numpy
  import reverb
  from rigl.rl.tfagents import sparse_tanh_normal_projection_network
  import tensorflow
  from tf_agents.agents import tf_agent
  from tf_agents.agents.sac import sac_agent
  from tf_agents.environments import suite_mujoco
  from tf_agents.keras_layers import inner_reshape
  from tf_agents.metrics import py_metrics
  from tf_agents.networks import nest_map
  from tf_agents.networks import sequential
  from tf_agents.policies import greedy_policy
  from tf_agents.policies import py_tf_eager_policy
  from tf_agents.policies import random_py_policy
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.replay_buffers import reverb_utils
  from tf_agents.train import actor
  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.utils import common
  from tf_agents.utils import object_identity
label_desc: Use image node_id 11 for calling a global function with example usage: main(_) without return types