import tensorflow as tf

              feed_previous=tf.constant(True))
        sess.run([tf.global_variables_initializer()])
        tf.get_variable_scope().reuse_variables()
        d1, _ = tf.nn.seq2seq.embedding_attention_seq2seq(
            enc_inp, dec_inp, cell, num_encoder_symbols=2,
            num_decoder_symbols=5, embedding_size=2, feed_previous=True)
        d2, _ = tf.nn.seq2seq.embedding_attention_seq2seq(
            enc_inp, dec_inp2, cell, num_encoder_symbols=2,
            num_decoder_symbols=5, embedding_size=2, feed_previous=True)
        res1 = sess.run(d1)
        res2 = sess.run(d2)
        res3 = sess.run(d3)
