code: def get_sequential_model(explicit_input=True):
      model = models.Sequential()
      if explicit_input:
          model.add(layers.Input(shape=(3,)))
      model.add(layers.Dense(2))
      model.add(layers.Dense(2))
      return model
  
file_path: keras/keras/models/cloning_test.py
imports: import numpy
  import pytest
  import tree
  from absl.testing import parameterized
  from keras import layers
  from keras import models
  from keras import testing
  from keras.models.cloning import clone_model
label_desc: Use image node_id 3 for calling a global function with example usage: get_sequential_model(explicit_input) and returns: model