code: def _run(self):
      with chainer.using_config("use_cudnn", "always"):
          with chainer.using_config("cudnn_deterministic", True):
              # verify data continuity and move to gpu
              x_data, W_data, b_data, gy_data = tuple(
                  cuda.to_gpu(data)
                  for data in self._contiguous(
                      self.x, self.W, self.b, self.gy
                  )
              )
              x, W, b, y = self._run_forward(x_data, W_data, b_data)
  
              y.grad = gy_data
              y.backward()
              return x, W, b, y
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
label_desc: Use image node_id 5 for calling the TestConvolution2DFunctionCudnnDeterministic obj's underlying member method code with example usage: obj._run() and returns: x,  W,  b,  y