MultiModelAll.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)
            # outs = [t.sigmoid(model(title,content))*weight  for model in  self.models]

        # outs = [model(title,content)*weight.view(1,1).expand(title.size(0),self.opt.num_classes).mm(self.label_weight) for model,weight in zip(self.models,self.weight)]
        return sum(outs)