code: def test_time_distributed_works_with_multiple_inputs(self):
      module = lambda x, y: x + y
      distributed = TimeDistributed(module)
      x_input = torch.LongTensor([[[1, 2], [3, 4]]])
      y_input = torch.LongTensor([[[4, 2], [9, 1]]])
      output = distributed(x_input, y_input)
      assert_almost_equal(output.data.numpy(), [[[5, 4], [12, 5]]])
  
file_path: allennlp/tests/modules/time_distributed_test.py
imports: from numpy.testing import assert_almost_equal
  import torch
  from torch.nn import Embedding, Module, Parameter
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules import TimeDistributed
label_desc: Use image node_id 3 for calling the TestTimeDistributed obj's underlying member method code with example usage: obj.test_time_distributed_works_with_multiple_inputs() without return types