code: def init_weights(m):
      if type(m) == nn.Conv2d or type(m) == nn.Linear:
          nn.init.ones_(m.weight)
          if m.bias is not None:
              nn.init.zeros_(m.bias)
  
imports: import os
  import time
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.nn
  from torch.distributed._tensor import DeviceMesh, distribute_module, distribute_tensor, Replicate, Shard
label_desc: Use image node_id 1 for calling a global function with example usage: init_weights(m) without return types