class_docstr: This loss allows to distill a DINO model
class_docstr_tok: ["This","loss","allows","to","distill","a","DINO","model"]
code: def forward(
      self,
      student_scores: Union[List[torch.Tensor], torch.Tensor],
      target: torch.Tensor,
  ):
      if isinstance(student_scores, list):
          student_scores = student_scores[0]
      return self.criterion(student_scores, self.teacher_scores)
  
file_path: vissl/vissl/losses/dino_distillation_loss.py
imports: import pprint
  from typing import List, Optional, Union
  import torch
  import torch.nn.functional
  from classy_vision.losses import ClassyLoss, register_loss
  from torch import nn
  from vissl.config import AttrDict
label_desc: Use image node_id 3 for calling the DINODistillationLoss obj's underlying member method code with example usage: obj.forward(student_scores, target) and returns: self