code: def test_feedforward_encoder_exactly_match_feedforward_each_item(
      self,
  ):
      feedforward = FeedForward(
          input_dim=10,
          num_layers=1,
          hidden_dims=10,
          activations=Activation.by_name("linear")(),
      )
      encoder = FeedForwardEncoder(feedforward)
      tensor = torch.randn([2, 3, 10])
      output = encoder(tensor)
      target = feedforward(tensor)
      numpy.testing.assert_array_almost_equal(
          target.detach().cpu().numpy(), output.detach().cpu().numpy()
      )
  
      # mask should work
      mask = torch.tensor([[True, True, True], [True, False, False]])
      output = encoder(tensor, mask)
      target = feedforward(tensor) * mask.unsqueeze(dim=-1).float()
      numpy.testing.assert_array_almost_equal(
          target.detach().cpu().numpy(), output.detach().cpu().numpy()
      )
  
file_path: allennlp/tests/modules/seq2seq_encoders/feedforward_encoder_test.py
imports: import torch
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules import FeedForward
  from allennlp.modules.seq2seq_encoders.feedforward_encoder import FeedForwardEncoder
  from allennlp.nn import Activation
label_desc: Use image node_id 2 for calling the TestFeedforwardEncoder obj's underlying member method code with example usage: obj.test_feedforward_encoder_exactly_match_feedforward_each_item() without return types