vae.py 文件源码

def get_loss_func(self, C=1.0, k=1):
        def lf(x):
            mu, ln_var = self.encode(x)
            batchsize = len(mu.data)
            rec_loss = 0
            for l in six.moves.range(k):
                z = F.gaussian(mu, ln_var)
                rec_loss += F.bernoulli_nill(x, self.decode(z, sigmoid=False))
                rec_loss /= (k * batchsize)

            self.rec_loss = rec_loss
            self.loss = self.rec_loss + C * gaussian_kl_divergence(mu, ln_var)
            self.loss /= batchsize

            return self.loss

        return lf