def METHOD_NAME(
    preds: Tensor,
    target: Tensor,
    use_cg_iter: Optional[int] = None,
    filter_length: int = 512,
    zero_mean: bool = False,
    load_diag: Optional[float] = None,
) -> Tensor:
    """Wrapper for deprecated import.
    >>> import torch
    >>> g = torch.manual_seed(1)
    >>> preds = torch.randn(8000)
    >>> target = torch.randn(8000)
    >>> _signal_distortion_ratio(preds, target)
    tensor(-12.0589)
    >>> # use with permutation_invariant_training
    >>> preds = torch.randn(4, 2, 8000)  # [batch, spk, time]
    >>> target = torch.randn(4, 2, 8000)
    >>> best_metric, best_perm = _permutation_invariant_training(preds, target, _signal_distortion_ratio)
    >>> best_metric
    tensor([-11.6375, -11.4358, -11.7148, -11.6325])
    >>> best_perm
    tensor([[1, 0],
            [0, 1],
            [1, 0],
            [0, 1]])
    """
    _deprecated_root_import_func("signal_distortion_ratio", "audio")
    return signal_distortion_ratio(
        preds=preds,
        target=target,
        use_cg_iter=use_cg_iter,
        filter_length=filter_length,
        zero_mean=zero_mean,
        load_diag=load_diag,
    )