(self, x, eps=0.00001)
| 322 | # normalization, Gaussian |
| 323 | class GaussianNormalizer(object): |
| 324 | def __init__(self, x, eps=0.00001): |
| 325 | super(GaussianNormalizer, self).__init__() |
| 326 | |
| 327 | self.mean = torch.mean(x) |
| 328 | self.std = torch.std(x) |
| 329 | self.eps = eps |
| 330 | |
| 331 | def encode(self, x): |
| 332 | x = (x - self.mean) / (self.std + self.eps) |