code: def forward(self, logits: torch.Tensor, target: torch.Tensor):
      return self.criterion(logits, self.teacher_logits, target)
  
imports: from enum import Enum
  import torch
  import torch.nn
  import torch.nn.functional
  from classy_vision.losses import ClassyLoss, register_loss
  from vissl.config.attr_dict import AttrDict
  from vissl.losses.cross_entropy_multiple_output_single_target import SmoothCrossEntropy
label_desc: Use image node_id 3 for calling the DistillationLoss obj's underlying member method code with example usage: obj.forward(logits, target) and returns: self