import tensorflow as tf

            else:
                self.c, self.q, self.ch, self.qh, self.y1, self.y2, self.qa_id = batch.get_next()

            # self.word_unk = tf.get_variable("word_unk", shape = [config.glove_dim], initializer=initializer())
            self.word_mat = tf.get_variable("word_mat", initializer=tf.constant(
                word_mat, dtype=tf.float32), trainable=False)
            self.char_mat = tf.get_variable(
                "char_mat", initializer=tf.constant(char_mat, dtype=tf.float32))
