import torch
from torchmetrics.image.lpip import LearnedPerceptualImagePatchSimilarity
metric = LearnedPerceptualImagePatchSimilarity()
values = [ ]
for _ in range(3):
    values.append(metric(torch.rand(10, 3, 100, 100), torch.rand(10, 3, 100, 100)))
fig_, ax_ = metric.plot(values)