code: def _get_loss_from_output(
      output: list[torch.Tensor | dict[str, torch.Tensor]]
      | dict[str, torch.Tensor]
      | torch.Tensor
  ) -> torch.Tensor:
      """Returns a single value from the network output, which is a dict or tensor."""
  
      def _get_loss(
          data: torch.Tensor | dict[str, torch.Tensor]
      ) -> torch.Tensor:
          if isinstance(data, dict):
              return data["loss"]
          return data
  
      if isinstance(output, list):
          return _get_loss(output[0])
      return _get_loss(output)
  
imports: from __future__ import annotations
  import copy
  from collections.abc import Callable, Mapping
  from enum import Enum
  from threading import RLock, Thread
  from typing import TYPE_CHECKING, Any
  import numpy
  import torch
  from monai.config import IgniteInfo
  from monai.utils.module import min_version, optional_import
label_desc: Use image node_id 5 for calling a global function with example usage: _get_loss_from_output(output) and returns: _get_loss, data, _get_loss, data