class_docstr: Container for a graph model.
  
  # Arguments
  input: An input node or a list of input nodes.
  output: An output node or a list of output nodes.
  name: String to specify the name of the graph model. Default is None.
docstr: Save the current model graph to a folder, which can be displayed in TensorBoard
  by running the command:
  tensorboard --logdir log_path
  
  # Arguments
  log_path: The path to save the model graph.
  backward: The name of the application.
docstr_tok: ["Save","the","current","model","graph","to","a","folder",",","which","can","be","displayed","in","TensorBoard","by","running","the","command",":","tensorboard","--","logdir","log_path","#","Arguments","log_path",":","The","path","to","save","the","model","graph",".","backward",":","The","name","of","the","application","."]
code: def save_graph_topology(self, log_path, backward=False):
      """
      Save the current model graph to a folder, which can be displayed in TensorBoard
      by running the command:
      tensorboard --logdir log_path
  
      # Arguments
      log_path: The path to save the model graph.
      backward: The name of the application.
      """
      callZooFunc(
          self.bigdl_type,
          "zooSaveGraphTopology",
          self.value,
          log_path,
          backward,
      )
  
imports: import sys
  from bigdl.dllib.utils.utils import remove_batch
  from .engine.topology import KerasNet
  from bigdl.dllib.utils.common import to_list
  from bigdl.dllib.utils.log4Error import *
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.utils.bigdl_export import keras_export
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.save_graph_topology(log_path, backward) without return types