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: Return the `LayerPattern` to find in the model graph.
docstr_tok: ["Return","the","`","LayerPattern","`","to","find","in","the","model","graph","."]
code: def pattern(self):
      """Return the `LayerPattern` to find in the model graph."""
      raise NotImplementedError()
  
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 1 for calling the Transform obj's underlying member method code with example usage: obj.pattern() without return types