P4AllCNNC.py 文件源码

def __call__(self, x, t, train=True, finetune=False):

        h = x
        h = F.dropout(h, ratio=0.2, train=train)
        h = self.l1(h, train, finetune)
        h = self.l2(h, train, finetune)
        h = self.l3(h, train, finetune)
        h = F.dropout(h, ratio=0.5, train=train)
        h = self.l4(h, train, finetune)
        h = self.l5(h, train, finetune)
        h = self.l6(h, train, finetune)
        h = F.dropout(h, ratio=0.5, train=train)
        h = self.l7(h, train, finetune)
        h = self.l8(h, train, finetune)
        h = self.l9(h, train, finetune)

        h = F.sum(h, axis=-1)
        h = F.sum(h, axis=-1)
        h = F.sum(h, axis=-1)
        h /= 8 * 8 * 4

        return F.softmax_cross_entropy(h, t), F.accuracy(h, t)