import tensorflow as tf

			with tf.variable_scope('softmax'):
				W = tf.get_variable('W', [self.num_hidden, self.num_classes],
									# initializer=tf.random_uniform_initializer(-0.003, 0.003))
									initializer=tf.contrib.layers.xavier_initializer())
									# initializer=tf.truncated_normal_initializer(stddev=0.1))
				b = tf.get_variable('b', [self.num_classes], initializer=tf.constant_initializer(0.1))
			logits = tf.matmul(last_outputs, W) + b
		self.embed_inputs = embed_inputs
		return logits

