code: def test_forward_consistency(self):
      x_data = self.x
      xp = backend.get_array_module(x_data)
  
      if not self.c_contiguous:
          x_data = xp.asfortranarray(x_data)
          self.assertFalse(x_data.flags.c_contiguous)
  
      x_cpu = chainer.Variable(x_data)
      y_cpu = shift.shift(x_cpu, ksize=self.ksize, dilate=self.dilate)
  
      x_gpu = chainer.Variable(cuda.to_gpu(x_data))
      y_gpu = shift.shift(x_gpu, ksize=self.ksize, dilate=self.dilate)
  
      testing.assert_allclose(
          y_cpu.data, y_gpu.data.get(), atol=5e-4, rtol=5e-3
      )
  
file_path: chainer/tests/chainer_tests/functions_tests/connection_tests/test_shift.py
imports: import unittest
  import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import gradient_check
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import condition
  from chainer.functions.connection import shift
label_desc: Use image node_id 2 for calling the TestShiftFunction obj's underlying member method code with example usage: obj.test_forward_consistency() without return types