code: def symbolic_suff_stat(node, base_node, stop_nodes):
      """Extracts a symbolic representation of the graph rooted at `node`."""
      if node == base_node:
          return ("#x",)
      elif node in stop_nodes:
          return (node,)
  
      if node.op.type in _extractable_nodes:
          result = ["#%s" % str(node.op.type)]
      else:
          result = [node]
  
      result += [
          symbolic_suff_stat(i, base_node, stop_nodes)
          for i in node.op.inputs
      ]
      return tuple(result)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: symbolic_suff_stat(node, base_node, stop_nodes) and returns: tuple, str, node