code: def weights_init_xavier(m):
      if isinstance(m, nn.Conv2d):
          torch.nn.init.xavier_uniform_(m.weight)
          if m.bias is not None:
              torch.nn.init.zeros_(m.bias)
  
imports: import numpy
  import torch
  from torch import nn
  from .msg.msg import MSGNet
  from .mspf.mspf import MSPF
label_desc: Use image node_id 1 for calling a global function with example usage: weights_init_xavier(m) without return types