code: def init_weights(self):
      for p in self.parameters():
          if p.dim() > 1:
              torch.nn.init.xavier_uniform_(p)
  
file_path: lightwood/lightwood/encoder/time_series/helpers/transformer_helpers.py
imports: import math
  import torch
  import torch.nn
  from lightwood.helpers.torch import LightwoodAutocast
label_desc: Use image node_id 3 for calling the TransformerEncoder obj's underlying member method code with example usage: obj.init_weights() without return types