code: def reduce_loss(
      loss: Tensor, reduction: str = "mean"  # PyTorch loss reduction
  ) -> Tensor:
      "Reduce the loss based on `reduction`"
      return (
          loss.mean()
          if reduction == "mean"
          else loss.sum()
          if reduction == "sum"
          else loss
      )
  
imports: from __future__ import annotations
  from ..basics import *
  from torch.distributions.beta import Beta
label_desc: Use image node_id 1 for calling a global function with example usage: reduce_loss(loss, reduction) and returns: unknown