code: def _unify_input_formats(preds, target):
      if not (
          preds.ndim == target.ndim or preds.ndim == target.ndim + 1
      ):
          raise ValueError(
              "preds the same or one more dimensions than targets"
          )
  
      if preds.ndim == target.ndim + 1:
          preds = torch.argmax(preds, dim=-1)
  
      if preds.ndim == target.ndim and preds.is_floating_point():
          preds = (preds >= 0.5).long()
      return preds, target
  
imports: import torch
  from abc import ABC, abstractmethod
label_desc: Use image node_id 1 for calling a global function with example usage: _unify_input_formats(preds, target) and returns: preds,  target