code: def __init__(self, size_average=None, reduce=None, reduction="mean"):
      super(WrapperKLDivLoss, self).__init__(
          size_average, reduce, reduction
      )
  
imports: from typing import Any
  from collections import OrderedDict
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.autograd import Variable
  from torch_points3d.datasets.segmentation import IGNORE_LABEL
  from .metric_losses import *
label_desc: Use image node_id 1 to create a new WrapperKLDivLoss object from inherited base classes: torch.nn.modules.loss with example: obj = WrapperKLDivLoss(size_average, reduce, reduction)