code: def supports_flat_params(self):
      return True
  
file_path: fairseq/fairseq/optim/nag.py
imports: from collections.abc import Collection
  from dataclasses import dataclass, field
  from typing import List
  import torch
  from fairseq.dataclass import FairseqDataclass
  from omegaconf import II, DictConfig
  from torch.optim.optimizer import Optimizer, required
  from .None import FairseqOptimizer, register_optimizer
label_desc: Use image node_id 3 for calling the NAG obj's underlying member method code with example usage: obj.supports_flat_params() and returns: True