resnet50.py 文件源码

def __call__(self, x, t):
        h = self.bn1(self.conv1(x))
        h = F.max_pooling_2d(F.relu(h), 3, stride=2)
        h = self.res2(h)
        h = self.res3(h)
        h = self.res4(h)
        h = self.res5(h)
        h = F.average_pooling_2d(h, 7, stride=1)
        h = self.fc(h)

        loss = F.softmax_cross_entropy(h, t)
        chainer.report({'loss': loss, 'accuracy': F.accuracy(h, t)}, self)
        return loss