code: def _load_config(
      self, config: Optional[Union[_PATH, Dict[str, Any]]]
  ) -> Optional[Dict[str, Any]]:
      if config is None and self.DEEPSPEED_ENV_VAR in os.environ:
          rank_zero_info(
              f"Loading DeepSpeed config from set {self.DEEPSPEED_ENV_VAR} environment variable"
          )
          config = os.environ[self.DEEPSPEED_ENV_VAR]
      if isinstance(config, (str, Path)):
          if not os.path.isfile(config):
              raise MisconfigurationException(
                  f"You passed in a path to a DeepSpeed config but the path does not exist: {config}"
              )
          with open(config) as f:
              config = json.load(f)
      assert isinstance(config, dict) or config is None
      return config
  
imports: import argparse
  import json
  import logging
  import os
  import platform
  from collections import OrderedDict
  from contextlib import contextmanager
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Dict, Generator, List, Mapping, Optional, Tuple, Union
  import torch
  from torch.nn import Module
  from torch.optim import Optimizer
  from typing_extensions import override
  import lightning.pytorch
  from lightning.fabric.plugins import ClusterEnvironment
  from lightning.fabric.strategies import _StrategyRegistry
  from lightning.fabric.strategies.deepspeed import _DEEPSPEED_AVAILABLE, _format_precision_config, _validate_checkpoint_directory, _validate_device_index_selection
  from lightning.fabric.utilities.optimizer import _optimizers_to_device
  from lightning.fabric.utilities.seed import reset_seed
  from lightning.fabric.utilities.types import _PATH, LRScheduler, ReduceLROnPlateau
  from lightning.pytorch.accelerators.cuda import CUDAAccelerator
  from lightning.pytorch.core.optimizer import _init_optimizers_and_lr_schedulers
  from lightning.pytorch.plugins.precision import Precision
  from lightning.pytorch.strategies.ddp import DDPStrategy
  from lightning.pytorch.trainer.states import TrainerFn
  from lightning.pytorch.utilities import GradClipAlgorithmType
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.model_helpers import is_overridden
  from lightning.pytorch.utilities.rank_zero import WarningCache, rank_zero_info, rank_zero_warn
  from lightning.pytorch.utilities.types import LRSchedulerConfig
label_desc: Use image node_id 30 for calling the DeepSpeedStrategy obj's underlying member method code with example usage: obj._load_config(config) and returns: config