code: def _init_bias_vs(m):
      if type(m) == nn.Linear or type(m) == nn.Conv2d:
          if m.bias is not None:
              nn.init.xavier_normal_(m.bias)
  
file_path: singa/examples/model_selection/TRAILS-Database-Native-Model-Selection/internal/ml/model_selection/src/search_space/utils/weight_initializers.py
imports: import torch.nn
label_desc: Use image node_id 3 for calling a global function with example usage: _init_bias_vs(m) without return types