code: def _init_weights(self, m):
      if isinstance(m, nn.Linear):
          trunc_normal_(m.weight, std=0.02)
          if m.bias is not None:
              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 numpy
  import torch
  import torch.nn
  from einops import rearrange
  from einops.layers.torch import Rearrange
  from timm.models.layers import trunc_normal_, DropPath
label_desc: Use image node_id 3 for calling the SCUNet obj's underlying member method code with example usage: obj._init_weights(m) without return types