ot::
            :scale: 75

            >>> # Example plotting multiple values
            >>> import torch
            >>> from torchmetrics.image import TotalVariation
            >>> metric = TotalVariation()
            >>> values = [ ]
            >>> for _ in range(10):
            ...     values.append(metric(torch.rand(5, 3, 28, 28)))
            >>> fig_, ax_ = metric.plot(values)

        )