code: def _make_input_layers(self):
      return [
          tf_keras.layers.Input(shape=self.image_shape),
          tf_keras.layers.Input(shape=self.h_shape),
      ]
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import pixel_cnn
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 4 for calling the ConditionalPixelCnnTest obj's underlying member method code with example usage: obj._make_input_layers() and returns: list