line seems to be useless in "common_layers.double_discriminator"

[KyunghyunLee]

Description

https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/layers/common_layers.py#L3725

This line seems to be useless. net variable is not used after the line.
I'm just wondering if it's intended or typo.

def double_discriminator(x, filters1=128, filters2=None,
                         kernel_size=8, strides=4, pure_mean=False):
  """A convolutional discriminator with 2 layers and concatenated output."""
  if filters2 is None:
    filters2 = 4 * filters1
  with tf.variable_scope("discriminator"):
    batch_size = shape_list(x)[0]
    net = layers().Conv2D(
        filters1, kernel_size, strides=strides, padding="SAME", name="conv1")(x)
    if pure_mean:
      net1 = tf.reduce_mean(net, [1, 2])
    else:
      net1 = mean_with_attention(net, "mean_with_attention1")
      tf.reshape(net, [batch_size, -1])
    net = tf.nn.relu(net)  # <========================== This line
    net = layers().Conv2D(
        filters2, kernel_size, strides=strides, padding="SAME", name="conv2")(x)
    if pure_mean:
      net2 = tf.reduce_mean(net, [1, 2])
    else:
      net2 = mean_with_attention(net, "mean_with_attention2")
    return tf.concat([net1, net2], axis=-1)