code: def test_time_distributed_reshapes_multiple_inputs_with_pass_through_tensor_correctly(
      self,
  ):
      class FakeModule(Module):
          def forward(
              self,
              input_tensor,
              tensor_to_pass_through=None,
              another_tensor=None,
          ):
              return (
                  input_tensor + tensor_to_pass_through + another_tensor
              )
  
      module = FakeModule()
      distributed_module = TimeDistributed(module)
  
      input_tensor1 = torch.LongTensor([[[1, 2], [3, 4]]])
      input_to_pass_through = torch.LongTensor([3, 7])
      input_tensor2 = torch.LongTensor([[[4, 2], [9, 1]]])
  
      output = distributed_module(
          input_tensor1,
          tensor_to_pass_through=input_to_pass_through,
          another_tensor=input_tensor2,
          pass_through=["tensor_to_pass_through"],
      )
      assert_almost_equal(output.data.numpy(), [[[8, 11], [15, 12]]])
  
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 4 for calling the TestTimeDistributed obj's underlying member method code with example usage: obj.test_time_distributed_reshapes_multiple_inputs_with_pass_through_tensor_correctly() and returns: unknown