docstr: Test output shape.
docstr_tok: ["Test","output","shape","."]
code: def test_conv_stack(self, activation="relu"):
      """Test output shape."""
      with tf.Graph().as_default():
          x = 10.0 * tf.random_uniform(shape=(16, 5, 5, 32))
          nn = glow_ops.conv_stack(
              "nn",
              x,
              mid_channels=512,
              output_channels=64,
              activation=activation,
          )
  
          with tf.Session() as session:
              session.run(tf.global_variables_initializer())
              nn_np = session.run(nn)
              self.assertEqual(nn_np.shape, (16, 5, 5, 64))
  
              # Initialized with zeros.
              self.assertTrue(np.allclose(nn_np, 0.0))
  
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 7 for calling the GlowOpsTest obj's underlying member method code with example usage: obj.test_conv_stack(activation) without return types