code: def test_pass_through_encoder_with_mask(self):
      tensor = torch.randn([2, 3, 9])
      mask = torch.tensor([[True, True, True], [True, False, False]])
      output = self.encoder(tensor, mask)
  
      for encoder in self.encoder.encoders:
          tensor = encoder(tensor, mask)
  
      numpy.testing.assert_array_almost_equal(
          output.detach().cpu().numpy(), tensor.detach().cpu().numpy()
      )
  
imports: import torch
  import numpy
  import pytest
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2seq_encoders import ComposeEncoder, FeedForwardEncoder, Seq2SeqEncoder
  from allennlp.modules import FeedForward
label_desc: Use image node_id 4 for calling the TestPassThroughEncoder obj's underlying member method code with example usage: obj.test_pass_through_encoder_with_mask() without return types