code: def check_for_failure(remote_values):
      """Checks remote values for any that returned and failed.
  
      Args:
          remote_values (list): List of object IDs representing functions
              that may fail in the middle of execution. For example, running
              a SGD training loop in multiple parallel actor calls.
  
      Returns:
          Bool for success in executing given remote tasks.
      """
      import ray
      from ray.exceptions import RayActorError
  
      unfinished = remote_values
      try:
          while len(unfinished) > 0:
              finished, unfinished = ray.wait(unfinished)
              finished = ray.get(finished)
          return True
      except RayActorError as exc:
          logger.exception(str(exc))
      return False
  
imports: import time
  import numbers
  import socket
  import collections
  import numpy
  from contextlib import closing, contextmanager
  import torch
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 3 for calling a global function with example usage: check_for_failure(remote_values) and returns: False, True