code: def forward(self, input):
      student_output = None
      if self.training:
          student_output = self.student(input)
          teacher_output = self.teacher(input[:2])
      else:
          teacher_output = self.teacher(input)
      return student_output, teacher_output
  
imports: import math
  import apex
  import einops
  import torch
  import numpy
  import torch.nn.functional
  from torch.nn.init import trunc_normal_
  from megatron import get_args, print_rank_0
  from megatron.model.utils import get_linear_layer
  from megatron.model.vision.vit_backbone import VitBackbone
  from megatron.model.module import MegatronModule
  from megatron.model.vision.mit_backbone import mit_b5_avg
  from megatron.model.vision.esvit_swin_backbone import get_swin
label_desc: Use image node_id 3 for calling the DINOPretrainModel obj's underlying member method code with example usage: obj.forward(input) and returns: student_output,  teacher_output