class_docstr: Clips (limits) elements of input variable.
class_docstr_tok: ["Clips","(","limits",")","elements","of","input","variable","."]
code: def backward(self, indexes, grad_outputs):
      (x,) = self.get_retained_inputs()
      return ClipGrad(x.data, self.x_min, self.x_max).apply(
          grad_outputs
      )
  
imports: import numpy
  from chainer.backends import cuda
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 5 for calling the Clip obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: ClipGrad