code: def dump_tf_graph(tfgraph, tfgraphdef):
      
      print("Nodes ({})".format(len(tfgraphdef.node)))
      f = "{:15} {:59} {:20} {}"
      print(f.format("kind", "scopeName", "shape", "inputs"))
      for node in tfgraphdef.node:
          scopename = node.name
          kind = node.op
          inputs = node.input
          shape = tf.graph_util.tensor_shape_from_node_def_name(tfgraph, scopename)
          print(f.format(kind, scopename, str(shape), inputs))
docs: List all the nodes in a TF graph.
      tfgraph: A TF Graph object.
      tfgraphdef: A TF GraphDef object.