5f42f5ca343da1712ff202603ce34b1695590cc1,hypergan/discriminators/pyramid_nostride_discriminator.py,,discriminator,#Any#Any#Any#Any#Any#Any#Any#,30

Before Change

    k=-1
    //if batch_norm is not None:
    //    net = batch_norm(batch_size*2, name=prefix+"_expand_bn_end_"+str(i))(net)
    net = activation(net)
    net = tf.reshape(net, [batch_size*2, -1])

    //TODO: cross-d feature
    regularizers = []
    for regularizer in config["regularizers"]:
        regs = regularizer(root_config, net, prefix)
        regularizers += regs

    return tf.concat(1, [net]+regularizers)
    //return net

After Change

    //    regularizers += regs

    //return tf.concat(1, [net]+regularizers)
    return net

Instances