class_docstr: A wrapper class for existing PyTorch optimizers
class_docstr_tok: ["A","wrapper","class","for","existing","PyTorch","optimizers"]
code: def param_lists(self):
      return [pg["params"] for pg in self.opt.param_groups]
  
imports: from __future__ import annotations
  from .torch_basics import *
label_desc: Use image node_id 5 for calling the OptimWrapper obj's underlying member method code with example usage: obj.param_lists() and returns: unknown