code: def setUp(self):
      B = 3
      self.theta = numpy.random.uniform(size=(B, 2, 3)).astype(
          self.dtype
      )
      self.output_shape = (5, 6)
      self.grads = numpy.random.uniform(
          size=(B, 2) + self.output_shape
      ).astype(self.dtype)
  
      if self.dtype == numpy.float16:
          self.check_forward_options = {"atol": 1e-3, "rtol": 1e-3}
          self.check_backward_options = {"atol": 1e-2, "rtol": 1e-1}
      else:
          self.check_forward_options = {}
          self.check_backward_options = {}
  
file_path: chainer/tests/chainer_tests/functions_tests/array_tests/test_spatial_transformer_grid.py
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
label_desc: Use image node_id 1 for calling the TestSpatialTransformerGrid obj's underlying member method code with example usage: obj.setUp() without return types