code: def get_transformer_name(replaced_module):
      from .containers import supported_models
      from torch.nn import ModuleList
  
      transformer_name = ""
      for n, c in replaced_module.named_children():
          if c.__class__ in supported_models:
              transformer_name += n + "."
              for name, child in c.named_children():
                  if child.__class__ is ModuleList:
                      transformer_name += name
                      break
              break
      return transformer_name
  
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 1 for calling a global function with example usage: get_transformer_name(replaced_module) and returns: transformer_name