code: def set_tensor_parallel_config(self, mp_size, mp_group):
      self.mp_size = mp_size
      self.mp_group = mp_group
  
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 9 for calling the AutoTP obj's underlying member method code with example usage: obj.set_tensor_parallel_config(mp_size, mp_group) without return types