why did u add this kind of dropout in every residual block

`def layer_dropout(inputs, residual, dropout):
    pred = tf.random_uniform([]) < dropout
    return tf.cond(pred, lambda: residual, lambda: tf.nn.dropout(inputs, 1.0 - dropout) + residual)`