(self, x, eps=0.00001)
| 296 | # normalization, Gaussian |
| 297 | class GaussianNormalizer(object): |
| 298 | def __init__(self, x, eps=0.00001): |
| 299 | super(GaussianNormalizer, self).__init__() |
| 300 | |
| 301 | self.mean = torch.mean(x) |
| 302 | self.std = torch.std(x) |
| 303 | self.eps = eps |
| 304 | |
| 305 | def encode(self, x): |
| 306 | x = (x - self.mean) / (self.std + self.eps) |