code: def _configure_using_config_file(config, mpu=None):
      global num_layers, PARTITION_ACTIVATIONS, CONTIGUOUS_CHECKPOINTING, CPU_CHECKPOINT, SYNCHRONIZE, PROFILE_TIME
  
      config = DeepSpeedConfig(
          config, mpu=mpu
      ).activation_checkpointing_config
      if dist.get_rank() == 0:
          logger.info(config.repr())
      PARTITION_ACTIVATIONS = config.partition_activations
      CONTIGUOUS_CHECKPOINTING = config.contiguous_memory_optimization
      num_layers = config.number_checkpoints
      CPU_CHECKPOINT = config.cpu_checkpointing
      SYNCHRONIZE = config.synchronize_checkpoint_boundary
      PROFILE_TIME = config.profile
  
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 20 for calling a global function with example usage: _configure_using_config_file(config, mpu) without return types