class_docstr: This optimizer adds a provided feature to the function graph.
code: def add_requirements(self, fgraph):
      super(AddFeatureOptimizer, self).add_requirements(fgraph)
      fgraph.attach_feature(self.feature)
  
imports: from __future__ import absolute_import, print_function, division
  import logging
  import warnings
  import theano
  from theano import gof
  import theano.gof.vm
  from theano import config
  from six import string_types
  from theano.compile.function_module import Supervisor
label_desc: Use image node_id 2 for calling the AddFeatureOptimizer obj's underlying member method code with example usage: obj.add_requirements(fgraph) without return types