| from lpips_pytorch import LPIPS |
| import torch |
|
|
| class LPIPS1(LPIPS): |
| r""" |
| Overrriding the LPIPS to send loss without reducing the batch |
| Arguments: |
| net_type (str): the network type to compare the features: |
| 'alex' | 'squeeze' | 'vgg'. Default: 'alex'. |
| version (str): the version of LPIPS. Default: 0.1. |
| """ |
| def __init__(self, net_type: str = 'alex', version: str = '0.1'): |
| super(LPIPS1, self).__init__(net_type = 'alex', version ='0.1') |
|
|
| def forward(self, x: torch.Tensor, y: torch.Tensor): |
| feat_x, feat_y = self.net(x), self.net(y) |
| diff = [(fx - fy) ** 2 for fx, fy in zip(feat_x, feat_y)] |
| res = [l(d).mean((2, 3), True) for d, l in zip(diff, self.lin)] |
| |
| return torch.sum(torch.cat(res, 1), 1, True) |
