code: def _prime_keras_model(model):
      input_shapes = [
          [s.value if s.value else 1 for s in l.shape]
          for l in model.inputs
      ]
      dummy_inputs = [np.random.random(shape) for shape in input_shapes]
  
      model.predict(dummy_inputs)
  
imports: import types
  from studio.util import logs
  from PIL import Image
  from threading import Thread
  import numpy
  import itertools
  import six
label_desc: Use image node_id 6 for calling a global function with example usage: _prime_keras_model(model) without return types