code: def _latencies(self, r, e=None):
      if not e:
          e = {
              "pre": 0,
              "infer": 0,
              "invert": 0,
              "post": 0,
              "write": 0,
              "total": 0,
          }
  
      for key in e:
          e[key] = e[key] + r.get("latencies", {}).get(key, 0)
      return e
  
imports: import copy
  import logging
  import time
  from typing import Callable, Sequence
  import torch
  from tqdm import tqdm
  from monailabel.interfaces.tasks.infer_v2 import InferTask, InferType
  from monailabel.interfaces.utils.transform import run_transforms
  from monailabel.tasks.infer.basic_infer import BasicInferTask
  from monailabel.transform.post import Restored
  from monailabel.transform.writer import Writer
  from monailabel.utils.others.generic import name_to_device
label_desc: Use image node_id 5 for calling the InferVertebraPipeline obj's underlying member method code with example usage: obj._latencies(r, e) and returns: e