docstr: Updates the SWA running averages of all optimized parameters.
docstr_tok: ["Updates","the","SWA","running","averages","of","all","optimized","parameters","."]
code: def update_swa(self):
      r"""Updates the SWA running averages of all optimized parameters."""
      for group in self.param_groups:
          self.update_swa_group(group)
  
imports: import warnings
  from collections import defaultdict
  from typing import Optional, Union
  import torch
  from pytext.config.component import create_optimizer
  from pytext.optimizer.lamb import Lamb
  from pytext.optimizer.madgrad import MADGRAD
  from pytext.optimizer.optimizers import Adagrad, Adam, AdamW, Optimizer, SGD
  from pytext.optimizer.radam import RAdam
  from torch.optim import Optimizer
label_desc: Use image node_id 5 for calling the StochasticWeightAveraging obj's underlying member method code with example usage: obj.update_swa() without return types