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b4e816e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | import torch
from .modules.lpips import LPIPS
def lpips(x: torch.Tensor,
y: torch.Tensor,
net_type: str = 'alex',
version: str = '0.1'):
r"""Function that measures
Learned Perceptual Image Patch Similarity (LPIPS).
Arguments:
x, y (torch.Tensor): the input tensors to compare.
net_type (str): the network type to compare the features:
'alex' | 'squeeze' | 'vgg'. Default: 'alex'.
version (str): the version of LPIPS. Default: 0.1.
"""
device = x.device
criterion = LPIPS(net_type, version).to(device)
return criterion(x, y)
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