code: def rename_loss_dict(prefix: str, losses: dict) -> dict:
      """Rename the key names in loss dict by adding a prefix.
  
      Args:
          prefix (str): The prefix for loss components.
          losses (dict):  A dictionary of loss components.
  
      Returns:
              dict: A dictionary of loss components with prefix.
      """
      return {prefix + k: v for k, v in losses.items()}
  
imports: from functools import partial
  from typing import List, Optional, Sequence, Tuple, Union
  import numpy
  import torch
  from mmengine.structures import InstanceData
  from mmengine.utils import digit_version
  from six.moves import map, zip
  from torch import Tensor
  from torch.autograd import Function
  from torch.nn import functional
  from mmdet.structures import SampleList
  from mmdet.structures.bbox import BaseBoxes, get_box_type, stack_boxes
  from mmdet.structures.mask import BitmapMasks, PolygonMasks
  from mmdet.utils import OptInstanceList
label_desc: Use image node_id 19 for calling a global function with example usage: rename_loss_dict(prefix, losses) and returns: unknown