seq2seq.py 文件源码

def __init__(self):
        print("tensorflow version: ", tf.__version__)
        tf.reset_default_graph()

        self.encoder_vec_file = "./preprocessing/enc.vec"
        self.decoder_vec_file = "./preprocessing/dec.vec"
        self.encoder_vocabulary = "./preprocessing/enc.vocab"
        self.decoder_vocabulary = "./preprocessing/dec.vocab"
        self.dictFile = './word_dict.txt'
        self.batch_size = 1
        self.max_batches = 100000
        self.show_epoch = 100
        self.model_path = './model/'

        # jieba????
        jieba.load_userdict(self.dictFile)

        self.model = dynamicSeq2seq(encoder_cell=LSTMCell(40),
                                    decoder_cell=LSTMCell(40), 
                                    encoder_vocab_size=600,
                                    decoder_vocab_size=1600,
                                    embedding_size=20,
                                    attention=False,
                                    bidirectional=False,
                                    debug=False,
                                    time_major=True)
        self.location = ["??", "??", "??", "??"]
        self.user_info = {"__username__":"yw", "__location__":"??"}
        self.robot_info = {"__robotname__":"Rr"}
        self.dec_vocab = {}
        self.enc_vocab = {}
        self.dec_vecToSeg = {}
        tag_location = ''
        with open(self.encoder_vocabulary, "r") as enc_vocab_file:
            for index, word in enumerate(enc_vocab_file.readlines()):
                self.enc_vocab[word.strip()] = index
        with open(self.decoder_vocabulary, "r") as dec_vocab_file:
            for index, word in enumerate(dec_vocab_file.readlines()):
                self.dec_vecToSeg[index] = word.strip()
                self.dec_vocab[word.strip()] = index