code: def validate_ds_config(config: dict):
      def is_False(config: dict, key):
          if config is None:
              return False
          return bool(config.get(key))
  
      config_zero = config.get("zero_optimization", {})
      if not config_zero:
          return True
      stage = config_zero.get("stage")
      offload = False
      if stage == 1:
          return True
      elif stage == 2:
          if is_False(config_zero, "cpu_offload") and is_False(
              config_zero, "cpu_offload_params"
          ):
              return False
      elif stage == 3:
          offload_devices = ["cpu", "nvme"]
          if (
              config_zero.get("offload_optimizer", {}).get("device")
              in offload_devices
          ):
              offload = True
          if (
              config_zero.get("offload_param", {}).get("device")
              in offload_devices
          ):
              offload = True
      else:
          return True
  
      # HF requires that "ZeRO Offload can only work with DeepSpeed optimizers"
      if offload and not config.get("optimizer"):
          return False
  
      return True
  
imports: import re
  import collections.abc
  import os
  import json
  from deepspeed.runtime.constants import GRADIENT_ACCUMULATION_STEPS, TRAIN_MICRO_BATCH_SIZE_PER_GPU
  import itertools
  import copy
  from ..utils import logger
label_desc: Use image node_id 12 for calling a global function with example usage: validate_ds_config(config) and returns: True, bool, True, True, False, False, False, True