model_CBiLSTM.py 文件源码

def forward(self, x):
        embed = self.embed(x)
        # CNN
        embed = self.dropout(embed)
        cnn_x = embed
        cnn_x = cnn_x.unsqueeze(1)
        cnn_x = [F.relu(conv(cnn_x)).squeeze(3) for conv in self.convs1]  # [(N,Co,W), ...]*len(Ks)
        cnn_x = torch.cat(cnn_x, 0)
        cnn_x = torch.transpose(cnn_x, 1, 2)

        # BiLSTM
        bilstm_out, self.hidden = self.bilstm(cnn_x, self.hidden)
        bilstm_out = torch.transpose(bilstm_out, 0, 1)
        bilstm_out = torch.transpose(bilstm_out, 1, 2)
        bilstm_out = F.max_pool1d(bilstm_out, bilstm_out.size(2)).squeeze(2)

        # linear
        cnn_bilstm_out = self.hidden2label1(F.tanh(bilstm_out))
        cnn_bilstm_out = self.hidden2label2(F.tanh(cnn_bilstm_out))

        # dropout
        logit = self.dropout(cnn_bilstm_out)

        return logit