class_docstr: Dropout regularization.
class_docstr_tok: ["Dropout","regularization","."]
code: def _forward_ideep(self, x):
      mask, y = intel64.ideep.dropout.Forward(
          intel64.ideep.array(x[0]), self.dropout_ratio
      )
      self.mask = mask
      return (y,)
  
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 5 for calling the Dropout obj's underlying member method code with example usage: obj._forward_ideep(x) and returns: y