code: def mean_absolute_error(pred:Tensor, targ:Tensor)->Rank0Tensor:
      "Mean absolute error between `pred` and `targ`."
      pred,targ = flatten_check(pred,targ)
      return torch.abs(targ - pred).mean(f mean_absolute_error(pred:Tensor, targ:Tensor)->Rank0Tensor:
      "Mean absolute error between `pred` and `targ`."
      pred,targ = flatten_check(pred,targ)
      return torch.abs(targ - pred).mean()
docs: Mean absolute error between `pred` and `targ`.