code: def replace_module(
      model, orig_class, replace_fn, _replace_policy, checkpoint=None
  ):
      """Scan the model for instances of ``orig_clas:`` to replace using ``replace_fn``.
      Arguments:
          model (torch.nn.Module): the model to augment
          orig_class (torch.nn.Module): the module to search for
          replace_fn (method): a method to convert instances of ``orig_class`` to the
                               desired type and return a new instance.
      Returns:
          A modified ``model``.
      """
      sd = None
      if checkpoint is not None:
          sd = torch.load(checkpoint, map_location="cpu")
      policy = {}
      if orig_class is not None:
          policy.update({orig_class: (replace_fn, _replace_policy)})
      else:
          for plcy in replace_policies:
              # instantiate a throw-away policy in order to populate the _orig_layer_class
              _ = plcy(None)
              if isinstance(plcy._orig_layer_class, list):
                  for orig_layer_class in plcy._orig_layer_class:
                      policy.update(
                          {orig_layer_class: (replace_fn, plcy)}
                      )
              elif plcy._orig_layer_class is not None:
                  policy.update(
                      {plcy._orig_layer_class: (replace_fn, plcy)}
                  )
      assert len(policy.items()) > 0, (
          "No default policy found! Please specify your policy injection_policy (like {BertLayer:HFBEertLayerPolicy})."
          + "You can find some samples here: https://github.com/microsoft/DeepSpeed/blob/master/deepspeed/module_inject/replace_policy.py"
      )
  
      replaced_module, _ = _replace_module(model, policy, state_dict=sd)
      return replaced_module
  
imports: import os
  import torch
  import tqdm
  import deepspeed
  import deepspeed.ops.transformer
  from deepspeed.ops.transformer.inference.diffusers_attention import DeepSpeedDiffusersAttention
  from deepspeed.ops.transformer.inference.diffusers_transformer_block import DeepSpeedDiffusersTransformerBlock
  from deepspeed.ops.transformer.inference.diffusers_2d_transformer import Diffusers2DTransformerConfig
  from deepspeed.accelerator import get_accelerator
  from .replace_policy import replace_policies, generic_policies
  from .auto_tp import AutoTP, ReplaceWithTensorSlicing, Loading
  from deepspeed import comm
  from deepspeed.module_inject.tp_shard import set_num_kv_heads
  from .load_checkpoint import load_model_with_checkpoint
  import time
  from .utils import policy_to_ds_container
  import gc
  from ..pipe import PipelineModule
  import re
label_desc: Use image node_id 6 for calling a global function with example usage: replace_module(model, orig_class, replace_fn, _replace_policy, checkpoint) and returns: replaced_module