code: def forward_expected(self, inputs):
      y_expect = numpy.zeros(self.output_shape, dtype=numpy.float32)
      y_expect[0, 0, :, :] = numpy.array(
          [[1.0, 2.0, 3.0], [1.5, 2.5, 3.5], [2.0, 3.0, 4.0]],
          dtype=numpy.float32,
      )
      return (y_expect,)
  
imports: import unittest
  import numpy
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling the TestResizeImagesForwardUpScaleBilnear obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y_expect