code: def init_weight(m):
      if isinstance(m, nn.Linear):
          nn.init.trunc_normal_(m.weight, std=0.02)
          if isinstance(m, nn.Linear) and exists(m.bias):
              nn.init.constant_(m.bias, 0)
      elif isinstance(m, nn.LayerNorm):
          nn.init.constant_(m.bias, 0)
          nn.init.constant_(m.weight, 1.0)
  
imports: import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
label_desc: Use image node_id 3 for calling the TransformerClassifier obj's underlying member method code with example usage: obj.init_weight(m) without return types