class_docstr: Optim wrapper that implements rate.
class_docstr_tok: ["Optim","wrapper","that","implements","rate","."]
docstr: Return param_groups.
docstr_tok: ["Return","param_groups","."]
code: def param_groups(self):
      """Return param_groups."""
      return self.optimizer.param_groups
  
file_path: espnet/espnet/nets/pytorch_backend/transformer/optimizer.py
imports: import torch
label_desc: Use image node_id 2 for calling the NoamOpt obj's underlying member method code with example usage: obj.param_groups() and returns: self