code: def testInit(self):
      images = tf.random_uniform([1, 299, 299, 3])
      x1, x2 = revnet.init(images, 32)
      self.assertEqual(x1.get_shape().as_list(), [1, 74, 74, 16])
      self.assertEqual(x2.get_shape().as_list(), [1, 74, 74, 16])
  
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 3 for calling the RevnetTest obj's underlying member method code with example usage: obj.testInit() without return types