code: def _configure_session_config_for_std_servers(
      strategy,
      eval_strategy,
      session_config,
      cluster_spec,
      task_type,
      task_id,
  ):
      # pylint: disable=g-doc-args
      """Call strategy's `configure` to mutate the session_config.
  
      The session_config is currently needed as default config for a TensorFlow
      server. In the future, we should be able to remove this method and only pass
      the session config to a client session.
      """
      if task_type == _TaskType.EVALUATOR:
          if eval_strategy:
              eval_strategy.configure(session_config=session_config)
      else:
          # The strategy may be shared in standalone client mode.
          strategy = copy.deepcopy(strategy)
          strategy.configure(
              session_config=session_config,
              cluster_spec=cluster_spec,
              task_type=task_type,
              task_id=task_id,
          )
      # Remove the device filters specific to the strategy, so that the
      # TensorFlow server brought up with one strategy can be used by other
      # strategies. The device filters can be set in the client side as well.
      del session_config.device_filters[:]
  
imports: import copy
  import json
  import os
  import threading
  import time
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.distribute import distribute_coordinator_context
  from tensorflow.python.distribute import multi_worker_util
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import coordinator
  from tensorflow.python.training import monitored_session
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 7 for calling a global function with example usage: _configure_session_config_for_std_servers(strategy, eval_strategy, session_config, cluster_spec, task_type, task_id) without return types