dpn.py 文件源码

def __call__(self, x, t):
        features = F.concat(self.features(x), axis=1)
        out = F.average_pooling_2d(features, ksize=7)
        out = self.classifier(out)

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