def quantiles(self, quantiles, *args, **kwargs):
        self._computing_quantiles = True
        try:
            for i, q in enumerate(quantiles):
                self._quantile_values = q
                _quantiles_1 = self(*args, **kwargs)
                if i == 0:
                    _quantiles = {k: [v] for k, v in _quantiles_1.items()}
                else:
                    _quantiles_1
                    # add new quantile
                     _quantiles = {k: _quantiles[k] + [_quantiles_1[k]] for k in _quantiles.keys()}
               
            return  {k: torch.tensor(v, dtype=_quantiles_1[k].dtype, device=_quantiles_1[k].device) for k, v in _quantiles.items()}
        finally:
            self._computing_quantiles = False