class_docstr: Defines a transform to be applied to a keras model graph.
  
  A transform is a combination of 'Find + Replace' which describes how to find
  a pattern of layers in a model, and what to replace those layers with.
  
  A pattern is described using `LayerPattern`. The replacement function receives
  a `LayerNode` which contains the matched layers and should return a
  `LayerNode` which contains the set of layers which replaced the matched
  layers.
docstr: Dictionary of custom objects introduced by the `replacement` function.
  
  A `Transform` may introduce custom Classes and types unknown to Keras. This
  function should return a dictionary containing these objects in case such
  types are introduced. It allows model construction to serialize/deserialize
  these objects.
  
  Returns:
    Custom objects introduced by the transform as a dictionary.
docstr_tok: ["Dictionary","of","custom","objects","introduced","by","the","`","replacement","`","function",".","A","`","Transform","`","may","introduce","custom","Classes","and","types","unknown","to","Keras",".","This","function","should","return","a","dictionary","containing","these","objects","in","case","such","types","are","introduced",".","It","allows","model","construction","to","serialize\/deserialize","these","objects",".","Returns",":","Custom","objects","introduced","by","the","transform","as","a","dictionary","."]
code: def custom_objects(self):
      """Dictionary of custom objects introduced by the `replacement` function.
  
      A `Transform` may introduce custom Classes and types unknown to Keras. This
      function should return a dictionary containing these objects in case such
      types are introduced. It allows model construction to serialize/deserialize
      these objects.
  
      Returns:
        Custom objects introduced by the transform as a dictionary.
      """
      return {}
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import collections
  import six
label_desc: Use image node_id 3 for calling the Transform obj's underlying member method code with example usage: obj.custom_objects() and returns: dict