code: def setUp(self):
      super(GlowTest, self).setUp()
  
      self.batch_shape = 5
      self.output_shape = [16, 16, 3]
      self.minval = -10.0
      self.maxval = 10.0
  
imports: import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import blockwise
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import composition
  from tensorflow_probability.python.bijectors import glow
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import pad
  from tensorflow_probability.python.bijectors import sigmoid
  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.math.gradient import batch_jacobian
label_desc: Use image node_id 1 for calling the GlowTest obj's underlying member method code with example usage: obj.setUp() without return types