code: def generate_inputs(self):
      x = numpy.random.uniform(-1, 1, self.x_shape).astype(self.dtype)
      if self.t_data == "randint":
          t = numpy.random.randint(3, size=self.t_shape).astype(
              self.label_dtype
          )
      elif self.t_data == "zero":
          t = numpy.zeros(self.t_shape).astype(self.label_dtype)
      return x, t
  
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.utils import force_array
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the TestAccuracy obj's underlying member method code with example usage: obj.generate_inputs() and returns: x,  t