model_BiLSTM_lexicon.py 文件源码

def forward(self, x):
        embed = self.embed(x)
        embed = self.dropout(embed)
        x = embed.view(len(x), embed.size(1), -1)
        bilstm_out, self.hidden = self.bilstm(x, self.hidden)
        # print("bbb {}".format(self.hidden[0]))
        hidden = torch.cat(self.hidden, 0)
        # print("ccc {}".format(hidden.size()))
        hidden = torch.cat(hidden, 1)
        # print("ddd {}".format(hidden.size()))
        # bilstm_out = torch.transpose(bilstm_out, 0, 1)
        # bilstm_out = torch.transpose(bilstm_out, 1, 2)
        # print("aaa {}".format(bilstm_out.size()))
        # bilstm_out = F.max_pool1d(bilstm_out, bilstm_out.size(2)).squeeze(2)
        # bilstm_out = F.avg_pool1d(bilstm_out, bilstm_out.size(2)).squeeze(2)
        # print("sss {}".format(bilstm_out.size()))
        # print("Hidden {} ".format(hidden))
        logit = self.hidden2label(F.tanh(hidden))
        # print("Logit {} ".format(logit))
        return logit