def _sk_deviance(preds: Tensor, targets: Tensor, power: float):
    sk_preds = preds.view((- 1)).numpy()
    sk_target = targets.view((- 1)).numpy()
    return mean_tweedie_deviance(sk_target, sk_preds, power=power)
def _sk_deviance(preds: Tensor, targets: Tensor, power: float):
    sk_preds = preds.view((- 1)).numpy()
    sk_target = targets.view((- 1)).numpy()
    return mean_tweedie_deviance(sk_target, sk_preds, power=power)