Resample the dataset.

        Args:
            seed (int, optional): Seed for resampling. By default no seed is
            used.

def resample(self, seed=None):
        """Resample the dataset.

        Args:
            seed (int, optional): Seed for resampling. By default no seed is
            used.
        """
        if seed is not None:
            gen = torch.manual_seed(seed)
        else:
            gen = torch.default_generator

        if self.replacement:
            self.perm = torch.LongTensor(len(self)).random_(
                len(self.dataset), generator=gen)
        else:
            self.perm = torch.randperm(
                len(self.dataset), generator=gen).narrow(0, 0, len(self))