modify two tensorflow functions:
------label_split = tf.split( 1, 2, self.y_ )
+++label_split = tf.split( self.y_, 2, 1 )
------score_split = tf.split( 1, 2, self.score_ )
+++score_split = tf.split( self.score_, 2, 1 )
----total += tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits( score_split[i] ,label_split[i] ))
+++total += tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits= score_split[i] ,labels= label_split[i] ))
modify two tensorflow functions:
------label_split = tf.split( 1, 2, self.y_ )
+++label_split = tf.split( self.y_, 2, 1 )
------score_split = tf.split( 1, 2, self.score_ )
+++score_split = tf.split( self.score_, 2, 1 )
----total += tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits( score_split[i] ,label_split[i] ))
+++total += tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits= score_split[i] ,labels= label_split[i] ))