code: def forward_expected(self, inputs):
      (h,) = inputs
      loss_expect = _decov(h)
      if self.reduce == "half_squared_sum":
          loss_expect = (loss_expect**2).sum() * 0.5
      return (chainer.utils.force_array(loss_expect, self.dtype),)
  
imports: import unittest
  import numpy
  import six
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
label_desc: Use image node_id 3 for calling the TestDeCov obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: chainer