code: def test_forward(self):
      # pylint: disable=protected-access
      similarity = MultiHeadedSimilarity(num_heads=3, tensor_1_dim=6)
      similarity._tensor_1_projection = Parameter(torch.eye(6))
      similarity._tensor_2_projection = Parameter(torch.eye(6))
      a_vectors = torch.FloatTensor(
          [[[[1, 1, -1, -1, 0, 1], [-2, 5, 9, -1, 3, 4]]]]
      )
      b_vectors = torch.FloatTensor(
          [[[[1, 1, 1, 0, 2, 5], [0, 1, -1, -7, 1, 2]]]]
      )
      result = similarity(a_vectors, b_vectors).data.numpy()
      assert result.shape == (1, 1, 2, 3)
      assert_almost_equal(result, [[[[2, -1, 5], [5, -2, 11]]]])
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/similarity_functions/multiheaded_test.py
imports: from __future__ import with_statement
  from __future__ import absolute_import
  from numpy.testing import assert_almost_equal
  import pytest
  import torch
  from torch.nn.parameter import Parameter
  from allennlp.common import Params
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.modules.similarity_functions import MultiHeadedSimilarity
label_desc: Use image node_id 2 for calling the TestMultiHeadedSimilarityFunction obj's underlying member method code with example usage: obj.test_forward() without return types