code: def test_stacked_bidirectional_lstm_can_build_from_params(self):
      params = Params(
          {
              "type": "stacked_bidirectional_lstm",
              "input_size": 5,
              "hidden_size": 9,
              "num_layers": 3,
          }
      )
      encoder = Seq2SeqEncoder.from_params(params)
  
      assert encoder.get_input_dim() == 5
      assert encoder.get_output_dim() == 18
      assert encoder.is_bidirectional
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/stacked_bidirectional_lstm_test.py
imports: from __future__ import absolute_import
  import numpy
  import torch
  from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
  from allennlp.modules.stacked_bidirectional_lstm import StackedBidirectionalLstm
  from allennlp.modules.seq2seq_encoders import Seq2SeqEncoder
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.params import Params
label_desc: Use image node_id 2 for calling the TestStackedBidirectionalLstm obj's underlying member method code with example usage: obj.test_stacked_bidirectional_lstm_can_build_from_params() without return types