code: def prelu(self, input, channel_shared, name):
      fluid = import_fluid()
      if channel_shared:
          mode = "all"
      else:
          mode = "channel"
  
      prefix = name + "_"
      output = fluid.layers.prelu(
          input,
          mode=mode,
          param_attr=fluid.ParamAttr(name=prefix + "negslope"),
      )
      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 11 for calling the Network obj's underlying member method code with example usage: obj.prelu(input, channel_shared, name) and returns: output