code: def _make_fake_images(self):
      return np.random.randint(
          self.low, self.high, size=self.batch_shape + self.image_shape
      ).astype(np.float32)
  
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 3 for calling the PixelCnnTest obj's underlying member method code with example usage: obj._make_fake_images() and returns: np