code: def params_dict():
      return {
          "num_hidden_layers1": 3,
          "num_hidden_layers2": 3,
          "hidden_size1": 12,
          "hidden_size2": 12,
          "combined_hidden_size": 12,
          "intermediate_size1": 3,
          "intermediate_size2": 3,
          "num_attention_heads1": 4,
          "num_attention_heads2": 6,
          "combined_num_attention_heads": 2,
          "attention_dropout1": 0.1,
          "hidden_dropout1": 0.2,
          "attention_dropout2": 0.1,
          "hidden_dropout2": 0.2,
          "activation": "relu",
          "biattention_id1": [1, 2],
          "biattention_id2": [1, 2],
          "fixed_layer1": 1,
          "fixed_layer2": 1,
      }
  
file_path: allennlp/tests/modules/transformer/bimodal_encoder_test.py
imports: import torch
  from torch.testing import assert_allclose
  from transformers import AutoModel
  import pytest
  from allennlp.common import Params
  from allennlp.modules.transformer import BiModalEncoder
label_desc: Use image node_id 1 for calling a global function with example usage: params_dict() and returns: dict