import tensorflow as tf

        cell = tf.nn.rnn_cell.BasicLSTMCell(2, state_is_tuple=True)
        outputs_dict, state_dict = tf.nn.seq2seq.one2many_rnn_seq2seq(
            enc_inp, dec_inp_dict, cell, 2, dec_symbols_dict, embedding_size=2)

        sess.run([tf.global_variables_initializer()])
        res = sess.run(outputs_dict["0"])
        self.assertEqual(3, len(res))
        self.assertEqual((2, 5), res[0].shape)
