import torch
from torchmetrics.image import PeakSignalNoiseRatioWithBlockedEffect
metric = PeakSignalNoiseRatioWithBlockedEffect()
values = [ ]
for _ in range(10):
    values.append(metric(torch.rand(2, 1, 10, 10), torch.rand(2, 1, 10, 10)))
fig_, ax_ = metric.plot(values)