code: def test_consistency_with_cudnn_gpu(self):
      with chainer.using_config("use_cudnn", "never"):
          x_gpu, grid_gpu, y_gpu = self._apply_backward(
              cuda.to_gpu(self.x),
              cuda.to_gpu(self.grid),
              cuda.to_gpu(self.grads),
          )
      with chainer.using_config("use_cudnn", "always"):
          x_cudnn, grid_cudnn, y_cudnn = self._apply_backward(
              cuda.to_gpu(self.x),
              cuda.to_gpu(self.grid),
              cuda.to_gpu(self.grads),
          )
  
      testing.assert_allclose(
          y_gpu.data, y_cudnn.data, **self.assert_options
      )
      testing.assert_allclose(
          x_gpu.grad, x_cudnn.grad, **self.assert_options
      )
      testing.assert_allclose(
          grid_gpu.grad, grid_cudnn.grad, **self.assert_options
      )
  
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 4 for calling the TestSpatialTransformerSamplerConsistencyWithCuDNN obj's underlying member method code with example usage: obj.test_consistency_with_cudnn_gpu() without return types