code: def setUp(self):
      self.x = numpy.random.uniform(size=self.in_shape).astype(
          self.dtype
      )
      self.grid = numpy.random.uniform(
          low=-2.0, high=2.0, size=self.grid_shape
      ).astype(self.dtype)
      self.grads = numpy.random.uniform(size=self.out_shape).astype(
          self.dtype
      )
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
  from chainer import Variable
label_desc: Use image node_id 1 for calling the TestSpatialTransformerSampler obj's underlying member method code with example usage: obj.setUp() without return types