code: def test_default_parameters():
      encoder = BiModalEncoder()
      embedding1 = torch.randn(16, 34, 1024)
      embedding2 = torch.randn(16, 2, 1024)
      attn_mask1 = torch.randint(0, 2, (16, 1, 1, 34)) == 1
      attn_mask2 = torch.randint(0, 2, (16, 1, 1, 2)) == 1
  
      encoder(embedding1, embedding2, attn_mask1, attn_mask2)
  
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 7 for calling a global function with example usage: test_default_parameters() without return types