code: def test_encoder_decoder_model(self):
      token_embedder = PretrainedTransformerEmbedder(
          "facebook/bart-large", sub_module="encoder"
      ).cuda()
      token_ids = torch.LongTensor([[1, 2, 3], [2, 3, 4]])
      mask = torch.ones_like(token_ids).bool()
      token_embedder(token_ids.cuda(), mask.cuda())
  
imports: import math
  import pytest
  import torch
  from allennlp.common import Params, cached_transformers
  from allennlp.common.testing import AllenNlpTestCase, requires_gpu
  from allennlp.data import Vocabulary
  from allennlp.data.batch import Batch
  from allennlp.data.fields import TextField
  from allennlp.data.instance import Instance
  from allennlp.data.token_indexers import PretrainedTransformerIndexer
  from allennlp.data.tokenizers import PretrainedTransformerTokenizer
  from allennlp.modules.text_field_embedders import BasicTextFieldEmbedder
  from allennlp.modules.token_embedders import PretrainedTransformerEmbedder
label_desc: Use image node_id 10 for calling the TestPretrainedTransformerEmbedder obj's underlying member method code with example usage: obj.test_encoder_decoder_model() without return types