code: def init_weights(self):
      trunc_normal_(self.pos_embed, std=0.02)
      nn.init.normal_(self.cls_token, std=1e-6)
      if self.register_tokens is not None:
          nn.init.normal_(self.register_tokens, std=1e-6)
      named_apply(init_weights_vit_timm, self)
  
imports: from functools import partial
  import math
  import logging
  from typing import Sequence, Tuple, Union, Callable
  import torch
  import torch.nn
  import torch.utils.checkpoint
  from torch.nn.init import trunc_normal_
  from dinov2.layers import Mlp, PatchEmbed, SwiGLUFFNFused, MemEffAttention, NestedTensorBlock
label_desc: Use image node_id 2 for calling the DinoVisionTransformer obj's underlying member method code with example usage: obj.init_weights() without return types