code: def xavier_uniform_initialization(module):
      r"""using `xavier_uniform_`_ in PyTorch to initialize the parameters in
      nn.Embedding and nn.Linear layers. For bias in nn.Linear layers,
      using constant 0 to initialize.
  
      .. _`xavier_uniform_`:
          https://pytorch.org/docs/stable/nn.init.html?highlight=xavier_uniform_#torch.nn.init.xavier_uniform_
  
      Examples:
          >>> self.apply(xavier_uniform_initialization)
      """
      if isinstance(module, nn.Embedding):
          xavier_uniform_(module.weight.data)
      elif isinstance(module, nn.Linear):
          xavier_uniform_(module.weight.data)
          if module.bias is not None:
              constant_(module.bias.data, 0)
  
label_desc: Use image node_id 2 for calling a global function with example usage: xavier_uniform_initialization(module) without return types