class_docstr: Container for a sequential model.
  
  # Arguments
  name: String to specify the name of the sequential model. Default is None.
  
  >>> sequential = Sequential(name="seq1")
  creating: createZooKerasSequential
code: def add(self, model):
      from bigdl.dllib.keras.autograd import Lambda
  
      if isinstance(model, Lambda):
          if not self.is_built():
              if not model.input_shape:
                  invalidInputError(
                      False,
                      "You should specify inputShape for the first layer",
                  )
              input_shapes = model.input_shape
          else:
              input_shapes = self.get_output_shape()
          model = model.create(remove_batch(input_shapes))
      self.value.add(model.value)
      return self
  
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 3 for calling the Sequential obj's underlying member method code with example usage: obj.add(model) and returns: self