code: def locate_vertebra(self, request, image, label):
      req = copy.deepcopy(request)
      req.update(
          {"image": image, "label": label, "pipeline_mode": True}
      )
  
      d, r = self.task_loc_vertebra(req)
      return d, r, self._latencies(r)
  
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 7 for calling the InferVertebraPipeline obj's underlying member method code with example usage: obj.locate_vertebra(request, image, label) and returns: d,  r,  self