def random_sample(self, num_samples=8):
z = Normal(torch.tensor(0.), torch.tensor(1.)).sample(
(num_samples, self.z_dim))
if self.use_cuda:
z = z.cuda()
mu = self.decoder(z)
img = Normal(mu, self.noise_level).sample().cpu()
return img
