code: def accumulate(self):
      if self.save_prediction_only:
          logger.info(
              f"The pose3d result is saved to {self.res_file} "
              "and do not evaluate the model."
          )
          return
      self.eval_results["pose3d"] = [-self.mPJPE.avg, -self.PAmPJPE.avg]
  
imports: import paddle
  from paddle.distributed import ParallelEnv
  import os
  import json
  from collections import defaultdict, OrderedDict
  import numpy
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 5 for calling the Pose3DEval obj's underlying member method code with example usage: obj.accumulate() without return types