9010d90576d8da39f8c3be180cbccd0d1663f7c2,hypergan/discriminators/pyramid_nostride_discriminator.py,,discriminator,#Any#Any#Any#Any#Any#Any#Any#,29

Before Change

    for i in range(depth):
      //TODO better name for `batch_norm`?
      if batch_norm is not None:
          net = batch_norm(batch_size*2, name=prefix+"_expand_bn_"+str(i))(net)
      net = activation(net)
    
      //TODO: cross-d, overwritable
      // APPEND xs[i] and gs[i]
      if(i < len(xs) and i > 0):

After Change

    batch_size = int(x.get_shape()[0])
    // TODO: This is standard optimization from improved GAN, cross-d feature
    if config["layer_filter"]:
        g_filter = tf.concat(3, [g, config["layer_filter"](None, x)])
        x_filter = tf.concat(3, [x, config["layer_filter"](None, x)])
        net = tf.concat(0, [x_filter,g_filter] )

Instances