import torch
from torchmetrics.image import UniversalImageQualityIndex
preds = torch.rand([16, 1, 16, 16])
target = preds * 0.75
metric = UniversalImageQualityIndex()
metric.update(preds, target)
fig_, ax_ = metric.plot()