docstr: Return an iterable of the parameters held by the optimizer.
docstr_tok: ["Return","an","iterable","of","the","parameters","held","by","the","optimizer","."]
code: def params(self):
      """Return an iterable of the parameters held by the optimizer."""
      for param_group in self.param_groups:
          for p in param_group["params"]:
              yield p
  
imports: import torch
  from fairseq import utils
  from fairseq.dataclass.utils import gen_parser_from_dataclass
  from collections import defaultdict
label_desc: Use image node_id 6 for calling the FairseqOptimizer obj's underlying member method code with example usage: obj.params() without return types