code: def testUnit4(self):
      x1 = tf.random_uniform([1, 19, 19, 1024])
      x2 = tf.random_uniform([1, 19, 19, 1024])
      x1, x2 = revnet.unit(
          x1, x2, block_num=4, depth=416, num_layers=1, stride=2
      )
      self.assertEqual(x1.get_shape().as_list(), [1, 10, 10, 1664])
      self.assertEqual(x2.get_shape().as_list(), [1, 10, 10, 1664])
  
file_path: tensor2tensor/tensor2tensor/models/revnet_test.py
imports: from tensor2tensor.models import revnet
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 8 for calling the RevnetTest obj's underlying member method code with example usage: obj.testUnit4() without return types