e plotting a single value
            >>> import torch
            >>> from torchmetrics.image import ErrorRelativeGlobalDimensionlessSynthesis
            >>> preds = torch.rand([16, 1, 16, 16], generator=torch.manual_seed(42))
            >>> target = preds * 0.75
            >>> metric = ErrorRelativeGlobalDimensionlessSynthesis()
            >>> metric.update(preds, target)
            >>> fig_, ax_ = metric.plot()

        .. plot::
            :scale: 75

            >>> # Example plotting multiple values
            >>> import torch
            >>> from torchmetrics.image import ErrorRelativeGlobalDimensionlessSynthesis
            >>> preds = torch.rand([16, 1, 16, 16], generator=torch.manual_seed(42))
            >>> target = preds * 0.75
            >>> metric = ErrorRelativeGlobalDimensionlessSynthesis()
            >>> values = [ ]
            >>> for _ in range(10):
            ...     values.append(metric(preds, target))
            >>> fig_, ax_ = metric.plot(values)

        )