code: def multiply(self, inputs, name):
      fluid = import_fluid()
      output = inputs[0]
      for i in inputs[1:]:
          output = fluid.layers.elementwise_mul(
              x=output,
              y=i,
              name=self.get_unique_output_name(name, "mul"),
          )
      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 21 for calling the Network obj's underlying member method code with example usage: obj.multiply(inputs, name) and returns: output