code: def test_forward_works_with_add_combinations(self):
      linear = LinearSimilarity(2, 2, combination="x+y")
      linear._weight_vector = Parameter(torch.FloatTensor([-0.3, 0.5]))
      linear._bias = Parameter(torch.FloatTensor([0]))
      a_vectors = torch.FloatTensor([[1, 1], [-1, -1]])
      b_vectors = torch.FloatTensor([[1, 0], [0, 1]])
      result = linear(a_vectors, b_vectors).data.numpy()
      assert result.shape == (2,)
      assert_almost_equal(result, [-0.1, 0.3])
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/similarity_functions/linear_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 LinearSimilarity
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 6 for calling the TestLinearSimilarityFunction obj's underlying member method code with example usage: obj.test_forward_works_with_add_combinations() without return types