code: def test_forward(self, backend_config):
      m_data, v_data = backend_config.get_array((self.m, self.v))
  
      m = chainer.Variable(m_data)
      v = chainer.Variable(v_data)
  
      # Call forward without eps and retrieve it
      n1, eps = functions.gaussian(m, v, return_eps=True)
  
      self.assertIsInstance(eps, backend_config.xp.ndarray)
      self.assertEqual(n1.dtype, self.dtype)
      self.assertEqual(n1.shape, m.shape)
      self.assertEqual(eps.dtype, self.dtype)
      self.assertEqual(eps.shape, m.shape)
  
      # Call again with retrieved eps
      n2 = functions.gaussian(m, v, eps=eps)
      self.assertEqual(n2.dtype, self.dtype)
      self.assertEqual(n2.shape, m.shape)
      testing.assert_allclose(n1.array, n2.array)
  
file_path: chainer/tests/chainer_tests/functions_tests/noise_tests/test_gaussian.py
imports: import unittest
  import numpy
  import chainer
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
label_desc: Use image node_id 2 for calling the TestGaussian obj's underlying member method code with example usage: obj.test_forward(backend_config) without return types