code: def _ceil_helper(self, dev):
      np1 = np.random.random([5, 6, 7, 8]).astype(np.float32)
  
      np1 = np.random.random([5, 6, 7, 8]).astype(np.float32)
      np1 = np1 * 10
      np2 = np.ceil(np1)
  
      t1 = tensor.Tensor(device=dev, data=np1)
  
      t2_ct = singa_api.Ceil(t1.data)
  
      np.testing.assert_array_almost_equal(
          tensor.to_numpy(_cTensor_to_pyTensor(t2_ct)), np2
      )
  
imports: from __future__ import division
  import unittest
  import math
  import numpy
  from singa import singa_wrap
  from singa import tensor
  from cuda_helper import gpu_dev, cpu_dev
label_desc: Use image node_id 23 for calling the TestAPI obj's underlying member method code with example usage: obj._ceil_helper(dev) without return types