code: def forward(self, x):
      x = self.mlp(x)
      x = torch.nn.functional.normalize(x, dim=-1, p=2)
      x = self.last_layer(x)
      return x
  
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 DINOHead obj's underlying member method code with example usage: obj.forward(x) and returns: x