model.py 文件源码

def forward(self, lvec, rvec):
        mult_dist = torch.mul(lvec, rvec)
        abs_dist = torch.abs(torch.add(lvec, -rvec))
        vec_dist = torch.cat((mult_dist, abs_dist), 1)

        out = F.sigmoid(self.wh(vec_dist))
        out = F.log_softmax(self.wp(out))
        return out


# putting the whole model together