lstm_parser_ph.py 文件源码

def forward(self, ws, ss, ps):
        batchsize, length = ws.shape
        xp = chainer.cuda.get_array_module(ws[0])
        ws = self.emb_word(ws) # (batch, length, word_dim)
        ss = F.reshape(self.emb_suf(ss), (batchsize, length, -1))
        ps = F.reshape(self.emb_prf(ps), (batchsize, length, -1))
        hs = F.transpose(F.concat([ws, ss, ps], 2), (1, 0, 2))
        hs = F.dropout(hs, self.dropout_ratio, train=self.train)
        hs = F.split_axis(hs, length, 0)
        hs_f = []
        hs_b = []
        self._init_state()
        for h_in_f, h_in_b in zip(hs, reversed(hs)):
            h_f = self.lstm_f2(self.lstm_f1(F.reshape(h_in_f, (-1, self.in_dim))))
            hs_f.append(h_f)
            h_b = self.lstm_b2(self.lstm_b1(F.reshape(h_in_b, (-1, self.in_dim))))
            hs_b.append(h_b)

        hs = zip(hs_f, reversed(hs_b))

        cat_ys = [self.linear_cat2(F.dropout(
            F.elu(self.linear_cat1(h)), 0.5, train=self.train)) for h in hs]

        dep_ys = [self.biaffine(
            F.elu(F.dropout(self.linear_dep(h), 0.32, train=self.train)),
            F.elu(F.dropout(self.linear_head(h), 0.32, train=self.train))) for h in hs]

        return cat_ys, dep_ys