code: def test_pass_through_encoder_with_mask(self):
      encoder = PassThroughEncoder(input_dim=9)
      tensor = torch.randn([2, 3, 9])
      mask = torch.tensor([[True, True, True], [True, False, False]])
      output = encoder(tensor, mask)
  
      target = tensor * mask.unsqueeze(dim=-1).float()
      numpy.testing.assert_array_almost_equal(
          output.detach().cpu().numpy(), target.detach().cpu().numpy()
      )
  
file_path: allennlp/tests/modules/seq2seq_encoders/pass_through_encoder_test.py
imports: import torch
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.seq2seq_encoders import PassThroughEncoder
label_desc: Use image node_id 3 for calling the TestPassThroughEncoder obj's underlying member method code with example usage: obj.test_pass_through_encoder_with_mask() without return types