code: def _replace_last_linear_module(self, r_module):
      if hasattr(r_module, "lm_head"):
          name = "lm_head"
          child = r_module.lm_head
      elif hasattr(r_module, "embed_out"):
          name = "embed_out"
          child = r_module.embed_out
      else:
          return r_module
      if child.__class__ in self.linear_policies:
          setattr(
              r_module,
              name,
              self.linear_policies[child.__class__](
                  child, name, self.conv_linear_layer
              ),
          )
      return r_module
  
imports: import re
  from torch import nn
  from .replace_policy import replace_policies
  from typing import Optional
  import torch
  from deepspeed import comm
  from .layers import LinearAllreduce, LinearLayer, LmHeadLinearAllreduce
  from deepspeed.accelerator import get_accelerator
  from .fusedqkv_utils import require_tp_fused_qkvw, prepare_tp_fused_qkvw
  from deepspeed.module_inject.tp_shard import get_shard_size, get_shard_size_list
label_desc: Use image node_id 16 for calling the AutoTP obj's underlying member method code with example usage: obj._replace_last_linear_module(r_module) and returns: r_module, r_module