class_docstr: Computes the gradient of the Dropout function.
class_docstr_tok: ["Computes","the","gradient","of","the","Dropout","function","."]
code: def __init__(self, mask):
      self.mask = mask
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer.backends import intel64
  from chainer import configuration
  from chainer import function_node
  from chainer.utils import argument
  from chainer.utils import type_check
label_desc: Use image node_id 1 to create a new DropoutGrad object from inherited base classes: function_node with example: obj = DropoutGrad(mask)