code: def test_invertibility(self, op, name, dropout=0.0):
      with tf.Graph().as_default():
          tf.set_random_seed(42)
          x = tf.random_uniform(shape=(16, 32, 32, 4))
  
          if op in [
              glow_ops.affine_coupling,
              glow_ops.additive_coupling,
          ]:
              with arg_scope([glow_ops.get_dropout], init=False):
                  x_inv, _ = op(name, x, reverse=False, dropout=dropout)
                  x_inv_inv, _ = op(
                      name, x_inv, reverse=True, dropout=dropout
                  )
          else:
              x_inv, _ = op(name, x, reverse=False)
              x_inv_inv, _ = op(name, x_inv, reverse=True)
          with tf.Session() as session:
              session.run(tf.global_variables_initializer())
              diff = session.run(x - x_inv_inv)
              self.assertTrue(np.allclose(diff, 0.0, atol=1e-5))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import tempfile
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  from six.moves import zip
  from tensor2tensor.models.research import glow
  from tensor2tensor.models.research import glow_ops
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import hparam
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 4 for calling the GlowOpsTest obj's underlying member method code with example usage: obj.test_invertibility(op, name, dropout) without return types