__init__.py 文件源码

def backprop(self,t,x=None):
        if x is None:
            x=Tensor.context
        #loss = F.mean_squared_error(x.content,t.content)
        loss = F.softmax_cross_entropy(x.content,t.content)
        if  Deel.train:
            loss.backward()
        accuracy = F.accuracy(x.content,t.content)
        self.optimizer.update()
        return loss.data,accuracy.data