code: def _append_losses(self, losses):
      for key, loss in losses.items():
          if loss is None:
              continue
          loss_key = "%s_%s" % (self._stage, key)
          if loss_key not in self._loss_meters:
              self._loss_meters[
                  loss_key
              ] = tnt.meter.AverageValueMeter()
          self._loss_meters[loss_key].add(loss)
  
imports: import os
  import torchnet
  import torch
  from typing import Dict, Any
  import wandb
  from torch.utils.tensorboard import SummaryWriter
  import logging
  from torch_points3d.models import model_interface
label_desc: Use image node_id 7 for calling the BaseTracker obj's underlying member method code with example usage: obj._append_losses(losses) without return types