9d68b4ad8ba39fdf34dd11d79dd4168ab93d0108,gpytorch/lazy/added_diag_lazy_tensor.py,AddedDiagLazyTensor,_preconditioner,#AddedDiagLazyTensor#,50

Before Change

            )
            lr_flipped = lr_flipped + torch.eye(n=lr_flipped.size(-2), dtype=lr_flipped.dtype, device=lr_flipped.device)
            if lr_flipped.ndimension() == 3:
                ld_one = (NonLazyTensor(batch_potrf(lr_flipped)).diag().log().sum(-1)) * 2
                ld_two = self._diag_tensor.diag().log().sum(-1)
            else:
                ld_one = lr_flipped.cholesky(upper=True).diag().log().sum() * 2

After Change

            )
            lr_flipped = lr_flipped + torch.eye(n=lr_flipped.size(-2), dtype=lr_flipped.dtype, device=lr_flipped.device)
            if lr_flipped.ndimension() == 3:
                ld_one = (NonLazyTensor(torch.cholesky(lr_flipped, upper=True)).diag().log().sum(-1)) * 2
                ld_two = self._diag_tensor.diag().log().sum(-1)
            else:
                ld_one = lr_flipped.cholesky(upper=True).diag().log().sum() * 2

Instances