code: def is_configured():
      """True if deepspeed activation checkpointing has been configured
          by calling deepspeed.checkpointing.configure, else returns false
  
      Arguments:
          None
  
      Return:
          True of configured, else False
      """
      return deepspeed_checkpointing_enabled
  
imports: import copy
  import torch
  import contextlib
  from deepspeed import comm
  import weakref
  import mmap
  from torch import _C
  from deepspeed.runtime.config import DeepSpeedConfig
  from deepspeed.utils import logger
  from deepspeed.runtime.utils import copy_to_device, move_to_device, see_memory_usage, bwc_tensor_model_parallel_rank
  from deepspeed.utils.timer import SynchronizedWallClockTimer, FORWARD_GLOBAL_TIMER
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 23 for calling a global function with example usage: is_configured() and returns: deepspeed_checkpointing_enabled