old_contents: from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
  
  
  class Ceil(function.Function):
  
      @property
      def label(self):
          return 'ceil'
  
      def check_type_forward(self, in_types):
          type_check.expect(
              in_types.size() == 1,
              in_types[0].dtype.kind == 'f',
          )
  
      def forward(self, x):
          xp = cuda.get_array_module(*x)
          return utils.force_array(xp.ceil(x[0]), x[0].dtype),
  
      def backward(self, x, grad_outputs):
          xp = cuda.get_array_module(*x)
          return xp.zeros_like(x[0]),
  
  
  def ceil(x):
      """Elementwise ceil function.
  
      .. math::
         y_i = \lceil x_i \rceil
      Args:
          x (~chainer.Variable): Input variable.
  
      Returns:
          ~chainer.Variable: Output variable.
      """
  
      return Ceil()(x)
  
new_contents: from chainer import cuda
  from chainer import function
  from chainer import utils
  from chainer.utils import type_check
  
  
  class Ceil(function.Function):
  
      @property
      def label(self):
          return 'ceil'
  
      def check_type_forward(self, in_types):
          type_check.expect(
              in_types.size() == 1,
              in_types[0].dtype.kind == 'f',
          )
  
      def forward(self, x):
          xp = cuda.get_array_module(*x)
          return utils.force_array(xp.ceil(x[0]), x[0].dtype),
  
      def backward(self, x, grad_outputs):
          xp = cuda.get_array_module(*x)
          return xp.zeros_like(x[0]),
  
  
  def ceil(x):
      """Elementwise ceil function.
  
      .. math::
         y_i = \\lceil x_i \\rceil.
      Args:
          x (~chainer.Variable): Input variable.
  
      Returns:
          ~chainer.Variable: Output variable.
      """
  
      return Ceil()(x)
  
subject: fix comment