code: def init_layer(layer):
      """Initialize a Linear or Convolutional layer."""
      nn.init.xavier_uniform_(layer.weight)
  
      if hasattr(layer, "bias"):
          if layer.bias is not None:
              layer.bias.data.fill_(0.0)
  
file_path: speechbrain/speechbrain/lobes/models/Cnn14.py
imports: import torch.nn
  import torch.nn.functional
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: init_layer(layer) without return types