code: def configure(
      mpu_,
      deepspeed_config=None,
      partition_activations=None,
      contiguous_checkpointing=None,
      num_checkpoints=None,
      checkpoint_in_cpu=None,
      synchronize=None,
      profile=None,
  ):
      """Configure DeepSpeed Activation Checkpointing.
  
      Arguments:
          mpu_: Optional: An object that implements the following methods
              get_model_parallel_rank/group/world_size, and get_data_parallel_rank/group/world_size
  
          deepspeed_config: Optional: DeepSpeed Config json file when provided will be used to
              configure DeepSpeed Activation Checkpointing
  
          partition_activations: Optional: Partitions activation checkpoint across model parallel
              GPUs when enabled. By default False. Will overwrite deepspeed_config if provided
  
          contiguous_checkpointing: Optional: Copies activation checkpoints to a contiguous memory
              buffer. Works only with homogeneous checkpoints when partition_activations is enabled.
              Must provide num_checkpoints. By default False. Will overwrite deepspeed_config if
              provided
  
          num_checkpoints: Optional: Number of activation checkpoints stored during the forward
              propagation of the model. Used to calculate the buffer size for contiguous_checkpointing
              Will overwrite deepspeed_config if provided
  
          checkpoint_in_cpu: Optional: Moves the activation checkpoint to CPU. Only works with
              partition_activation. Default is false. Will overwrite deepspeed_config if provided
  
          synchronize: Optional: Performs get_accelerator().synchronize() at the beginning and end of
              each call to deepspeed.checkpointing.checkpoint for both forward and backward pass.
              By default false. Will overwrite deepspeed_config if provided
  
          profile: Optional: Logs the forward and backward time for each
              deepspeed.checkpointing.checkpoint invocation. Will overwrite deepspeed_config
              if provided
  
      Returns:
          None
      """
      global mpu, num_layers, deepspeed_checkpointing_enabled
  
      global PARTITION_ACTIVATIONS, CONTIGUOUS_CHECKPOINTING, CPU_CHECKPOINT, SYNCHRONIZE, PROFILE_TIME
  
      _configure_defaults()
  
      if mpu_ is not None:
          mpu = mpu_
  
      if deepspeed_config is not None:
          _configure_using_config_file(deepspeed_config, mpu=mpu)
  
      if partition_activations is not None:
          PARTITION_ACTIVATIONS = partition_activations
  
      if contiguous_checkpointing is not None:
          CONTIGUOUS_CHECKPOINTING = contiguous_checkpointing
  
      if num_checkpoints is not None:
          num_layers = num_checkpoints
  
      if checkpoint_in_cpu is not None:
          CPU_CHECKPOINT = checkpoint_in_cpu
  
      if synchronize is not None:
          SYNCHRONIZE = synchronize
  
      if profile is not None:
          PROFILE_TIME = profile
  
      if CONTIGUOUS_CHECKPOINTING:
          assert (
              PARTITION_ACTIVATIONS
          ), "Contiguous Checkpointing is only available with partitioned activations. Set partitioned activations to true in deepspeed config"
      if CONTIGUOUS_CHECKPOINTING:
          assert (
              num_layers is not None
          ), "Must specify the number of layers with contiguous memory checkpointing"
  
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 22 for calling a global function with example usage: configure(mpu_, deepspeed_config, partition_activations, contiguous_checkpointing, num_checkpoints, checkpoint_in_cpu, synchronize, profile) without return types