code: def init_mlp_weights_xavier_uniform(m: torch.nn.Module) -> None:
      if isinstance(m, torch.nn.Linear):
          torch.nn.init.xavier_uniform_(m.weight)
          m.bias.data.fill_(0.0)
  
file_path: torchrec/torchrec/modules/utils.py
imports: import copy
  from typing import Callable, Iterable, Tuple, Union
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: init_mlp_weights_xavier_uniform(m) without return types