class_docstr: Hard-sigmoid gradient function.
class_docstr_tok: ["Hard-sigmoid","gradient","function","."]
code: def __init__(self, x):
      self.x = x
  
file_path: chainer/chainer/functions/activation/hard_sigmoid.py
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 1 to create a new HardSigmoidGrad object from inherited base classes: function_node with example: obj = HardSigmoidGrad(x)