code: def get_parameters(self):
      params = []
      for param_group in self.optimizer.param_groups:
          for param in param_group["params"]:
              params.append(param)
      return params
  
imports: from abc import ABC
  from abc import abstractmethod
  from apex.multi_tensor_apply import multi_tensor_applier
  import amp_C
  import torch
  from megatron import get_timers
  from megatron import print_rank_0
  from megatron.core import mpu, tensor_parallel
  from megatron.model import Float16Module
  from megatron.model.module import param_is_not_shared
  from .clip_grads import clip_grad_norm_fp32, count_zeros_fp32
label_desc: Use image node_id 2 for calling the MegatronOptimizer obj's underlying member method code with example usage: obj.get_parameters() and returns: params