code: def test_forward_does_a_bilinear_product(self):
      # pylint: disable=protected-access
      bilinear = BilinearSimilarity(2, 2)
      bilinear._weight_matrix = Parameter(
          torch.FloatTensor([[-0.3, 0.5], [2.0, -1.0]])
      )
      bilinear._bias = Parameter(torch.FloatTensor([0.1]))
      a_vectors = torch.FloatTensor([[1, 1], [-1, -1]])
      b_vectors = torch.FloatTensor([[1, 0], [0, 1]])
      result = bilinear(a_vectors, b_vectors).data.numpy()
      assert result.shape == (2,)
      assert_almost_equal(result, [1.8, 0.6])
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/similarity_functions/bilinear_test.py
imports: from __future__ import absolute_import
  import numpy
  from numpy.testing import assert_almost_equal
  import torch
  from torch.nn.parameter import Parameter
  from allennlp.common import Params
  from allennlp.modules.similarity_functions import BilinearSimilarity
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 2 for calling the TestBilinearSimilarityFunction obj's underlying member method code with example usage: obj.test_forward_does_a_bilinear_product() without return types