code: def get_attention_modules():
      params = copy.deepcopy(ATTENTION_PARAMS_DICT)
      params["attention_probs_dropout_prob"] = params.pop(
          "attention_dropout"
      )
      params["hidden_dropout_prob"] = params.pop("hidden_dropout")
  
      torch.manual_seed(1234)
      yield "bert", BertAttention(BertConfig(**params)).eval()
  
      torch.manual_seed(1234)
      yield "roberta", RobertaAttention(RobertaConfig(**params)).eval()
  
      torch.manual_seed(1234)
      yield "electra", ElectraAttention(ElectraConfig(**params)).eval()
  
imports: import copy
  import torch
  import pytest
  from transformers.models.bert.configuration_bert import BertConfig
  from transformers.models.bert.modeling_bert import BertAttention, BertLayer
  from transformers.models.roberta.configuration_roberta import RobertaConfig
  from transformers.models.roberta.modeling_roberta import RobertaAttention, RobertaLayer
  from transformers.models.electra.configuration_electra import ElectraConfig
  from transformers.models.electra.modeling_electra import ElectraAttention, ElectraLayer
  from allennlp.common import Params, cached_transformers
  from allennlp.common.testing import run_distributed_test
  from allennlp.modules.transformer import AttentionLayer, TransformerLayer
label_desc: Use image node_id 4 for calling a global function with example usage: get_attention_modules() without return types