import torch
from torchmetrics.classification import MulticlassAveragePrecision
metric = MulticlassAveragePrecision(num_classes=3)
values = [ ]
for _ in range(10):
    values.append(metric(torch.randn(20, 3), torch.randint(3, (20,))))
fig_, ax_ = metric.plot(values)