class_docstr: Convenience class that makes it easy to share variables.
  Each insance of this class creates its own set of variables, but
  each subsequent execution of an instance will re-use its variables.
  
  Graph components that define variables should inherit from this class
  and implement their logic in the `_build` method.
docstr: Returns the proper variable scope for this module.
      
code: def variable_scope(self):
      """Returns the proper variable scope for this module."""
      return tf.variable_scope(self._template.variable_scope)
  
file_path: seq2seq/seq2seq/graph_module.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 4 for calling the GraphModule obj's underlying member method code with example usage: obj.variable_scope() and returns: tf