import tensorflow as tf


#         loss = None
        with tf.name_scope(name, "click_loglikelihood"):
            ob_prob=tf.nn.softmax(propensity)
            rel_prob=tf.nn.softmax(train_output)
            click_prob=ob_prob*rel_prob
            click_prob_norm=click_prob/tf.reduce_sum(click_prob,axis=1,keep_dims=True)
            label_dis = labels/ tf.reduce_sum(labels, 1, keep_dims=True)
