code: def testKerasLayerFlipout(self):
      self._testKerasLayer(dense_variational.DenseFlipout)
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.layers import dense_variational
  from tensorflow_probability.python.layers import util
  from tensorflow_probability.python.random import random_ops
  from tensorflow_probability.python.util import seed_stream
label_desc: Use image node_id 7 for calling the DenseVariational obj's underlying member method code with example usage: obj.testKerasLayerFlipout() without return types