MultiModelAll4zhihu.py 文件源码

def forward(self, char, word):
        weights = t.nn.functional.softmax(self.weights)
        outs =[]
        for ii,model in enumerate(self.models):
            if model.opt.type_=='char':
                out = t.sigmoid(model(*char))
            else:
                out=t.sigmoid(model(*word))

            out = out*(weights[:,ii].contiguous().view(1,-1).expand_as(out))
            outs.append(out)

        return sum(outs)