def __init__(self,is_training=True,is_skip=False, batch_size= 100, is_TopKloss=True,
word2vec_model='./model/word2vec/ourword2vec.pkl'):
# word2vec_model='/media/wwt/860G/model/word2vec/cn.cbow.bin'
#self.model = gensim.models.KeyedVectors.load_word2vec_format(word2vec_model, binary=True, unicode_errors='ignore')
self.word2vec = pkl.load(open(word2vec_model,'r'))
self.batch_size = batch_size
self.weight_decay = 0.0005
self.endpoint={}
self.is_skip=is_skip
self.is_TopKloss = is_TopKloss
self.is_training = is_training
self.keep_prob = 0.5 if is_training else 1.0
self.build_input()
#self.build_matchnet()
#self.build_classify()
#self.build_crossEnt_class()
#self.loss_weight = 0.
self.build_unite()
if is_training:
#self.build_summary()
#self.build_summary_crossEnt()
self.build_summary_unite()
BidirectionNet_conv_ltp.py 文件源码
python
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