code: def test_save_load_Sequential(self):
      zmodel = ZSequential()
      dense = ZLayer.Dense(10, input_dim=5)
      zmodel.add(dense)
      tmp_path = create_tmp_path()
      zmodel.saveModel(tmp_path, None, True)
      model_reloaded = Net.load(tmp_path)
      input_data = np.random.random([10, 5])
      y = np.random.random([10, 10])
      model_reloaded.compile(optimizer="adam", loss="mse")
      model_reloaded.fit(x=input_data, y=y, batch_size=8, nb_epoch=1)
  
imports: import pytest
  import keras.layers
  from keras.models import Sequential
  from test.bigdl.test_zoo_utils import ZooTestCase
  import bigdl.dllib.keras.layers
  from bigdl.dllib.keras.models import Model
  from bigdl.dllib.keras.models import Sequential
  from bigdl.dllib.net import Net
  from bigdl.dllib.nn.layer import Linear, Sigmoid, SoftMax, Model
  from bigdl.dllib.utils.common import *
  from bigdl.dllib.nn.layer import Sequential
label_desc: Use image node_id 5 for calling the TestLayer obj's underlying member method code with example usage: obj.test_save_load_Sequential() without return types