my_pca.py 文件源码

def __call__(self, x, pcaed_x=None, test=False):
        h = self.enc_l(x)
        rec = self.dec_l(h)

        if test:
            return rec, h

        ae_loss = F.mean_squared_error(x, rec)
        pca_loss = F.mean_squared_error(pcaed_x, h) * self.c

        #         self.loss = ae_loss + pca_loss
        self.loss = pca_loss

        chainer.reporter.report({'loss': self.loss,
                                 'ae_loss': ae_loss,
                                 'pca_loss': pca_loss,
                                 }, self)

        return self.loss