import tensorflow as tf


	def loss(self, logits, forward_only=None):
		cost = tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=tf.cast(self.y, tf.float32))
		mean_cost = tf.reduce_mean(cost)
