pyzoo/zoo/pipeline/api/keras/models.py
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.
        """
        callBigDlFunc(self.bigdl_type, "zooSaveGraphTopology",
                      self.value,
                      log_path,
                      backward)

        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.
        
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.
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 .
def save_graph_topology(self, log_path, backward=False):
        callBigDlFunc(self.bigdl_type, "zooSaveGraphTopology",
                      self.value,
                      log_path,
                      backward)
def save_graph_topology ( self , log_path , backward = False ) : callBigDlFunc ( self . bigdl_type , "zooSaveGraphTopology" , self . value , log_path , backward )
Save the current model graph to a folder, which can be displayed in TensorBoard by running the command:
tensorboard --logdir log_path
Save the current model graph to a folder which can be displayed in TensorBoard by running the command : tensorboard -- logdir log_path
"""
        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.
        """
self
log_path
backward