code: def dropout(self, input, drop_prob, name, is_test=True):
      fluid = import_fluid()
      if is_test:
          output = input
      else:
          output = fluid.layers.dropout(
              input,
              dropout_prob=drop_prob,
              is_test=is_test,
              name=self.get_unique_output_name(name, "dropout"),
          )
      return output
  
imports: from __future__ import print_function
  from builtins import str
  from past.builtins import basestring
  from builtins import object
  import sys
  import os
  import math
  import numpy
label_desc: Use image node_id 25 for calling the Network obj's underlying member method code with example usage: obj.dropout(input, drop_prob, name, is_test) and returns: output