code: def _initialize_deepspeed_train(self, model: Module) -> None:
      optimizer, scheduler = None, None
      assert isinstance(self.config, dict)
      if "optimizer" in self.config:
          rank_zero_info(
              "You have specified an optimizer and/or scheduler within the DeepSpeed config."
              " It is recommended to define it in `LightningModule.configure_optimizers`."
          )
          lr_scheduler = None
      else:
          (
              optimizer,
              lr_scheduler,
          ) = self._init_optimizers()
          if lr_scheduler is not None:
              scheduler = lr_scheduler.scheduler
  
      model, deepspeed_optimizer = self._setup_model_and_optimizer(
          model, optimizer, scheduler
      )
      self._set_deepspeed_activation_checkpointing()
  
      # although we set these here, deepspeed manages the specific optimizer logic
      self.optimizers = [deepspeed_optimizer]
  
      deepspeed_scheduler = model.lr_scheduler
      if deepspeed_scheduler is not None:
          # disable deepspeed lr scheduling as lightning manages scheduling
          model.lr_scheduler = None
          if lr_scheduler is None:
              lr_scheduler = LRSchedulerConfig(
                  deepspeed_scheduler, interval="step"
              )
          else:
              lr_scheduler.scheduler = deepspeed_scheduler
          self.lr_scheduler_configs = [lr_scheduler]
      self.model = model
  
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 13 for calling the DeepSpeedStrategy obj's underlying member method code with example usage: obj._initialize_deepspeed_train(model) without return types