code: def test_scalar_mix_can_run_forward(self):
      mixture = ScalarMix(3)
      tensors = [torch.randn([3, 4, 5]) for _ in range(3)]
      for k in range(3):
          mixture.scalar_parameters[k].data[0] = 0.1 * (k + 1)
      mixture.gamma.data[0] = 0.5
      result = mixture(tensors)
  
      weights = [0.1, 0.2, 0.3]
      normed_weights = numpy.exp(weights) / numpy.sum(
          numpy.exp(weights)
      )
      expected_result = sum(
          normed_weights[k] * tensors[k].data.numpy() for k in range(3)
      )
      expected_result *= 0.5
      numpy.testing.assert_almost_equal(
          expected_result, result.data.numpy()
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/modules/scalar_mix_test.py
imports: from __future__ import with_statement
  from __future__ import division
  from __future__ import absolute_import
  import torch
  import pytest
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.common.checks import ConfigurationError
  from allennlp.modules import ScalarMix
label_desc: Use image node_id 1 for calling the TestScalarMix obj's underlying member method code with example usage: obj.test_scalar_mix_can_run_forward() without return types