import tensorflow as tf

    with tf.Graph().as_default():
      config = config_.get_hparams_cifar_38()
      config.add_hparam("n_classes", 10)
      config.add_hparam("dataset", "cifar-10")

      x = tf.random_normal(
          shape=(self.config.batch_size,) + self.config.input_shape)
      t = tf.random_uniform(
          shape=(self.config.batch_size,),
          minval=0,
          maxval=self.config.n_classes,
          dtype=tf.int32)
      global_step = tf.Variable(0., trainable=False)
      model = revnet.RevNet(config=config)
