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.
code: def __init__(self, input, output, jvalue=None, **kwargs):
      super(Model, self).__init__(
          jvalue, to_list(input), to_list(output), **kwargs
      )
  
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 1 to create a new Model object from inherited base classes: KerasNet with example: obj = Model(input, output, jvalue)