code: def _contiguous(self, x_data, W_data, b_data, gy_data):
      if not self.c_contiguous:
          x_data = numpy.asfortranarray(x_data)
          W_data = numpy.asfortranarray(W_data)
          gy_data = numpy.asfortranarray(gy_data)
          self.assertFalse(x_data.flags.c_contiguous)
          self.assertFalse(W_data.flags.c_contiguous)
          self.assertFalse(gy_data.flags.c_contiguous)
          b = numpy.empty((len(b_data) * 2,), dtype=self.b.dtype)
          b[::2] = b_data
          b_data = b[::2]
          self.assertFalse(b_data.flags.c_contiguous)
      return x_data, W_data, b_data, gy_data
  
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 4 for calling the TestConvolution2DFunctionCudnnDeterministic obj's underlying member method code with example usage: obj._contiguous(x_data, W_data, b_data, gy_data) and returns: x_data,  W_data,  b_data,  gy_data