code: def test_forward_does_a_dot_product(self):
      dot_product = DotProductSimilarity()
      a_vectors = torch.LongTensor([[1, 1, 1], [-1, -1, -1]])
      b_vectors = torch.LongTensor([[1, 0, 1], [1, 0, 0]])
      result = dot_product(a_vectors, b_vectors).data.numpy()
      assert result.shape == (2,)
      assert numpy.all(result == [2, -1])
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/similarity_functions/dot_product_test.py
imports: from __future__ import absolute_import
  import numpy
  from numpy.testing import assert_almost_equal
  import torch
  from allennlp.common import Params
  from allennlp.modules.similarity_functions import DotProductSimilarity
  from allennlp.common.testing import AllenNlpTestCase
label_desc: Use image node_id 1 for calling the TestDotProductSimilarityFunction obj's underlying member method code with example usage: obj.test_forward_does_a_dot_product() without return types