code: def configure_optimizers(self):
      model_params, quant_params = self.model.collect_parameters()
  
      optimizer = hydra.utils.instantiate(
          self.optimizer_config.model_opt, params=model_params
      )
      aux_optimizer = hydra.utils.instantiate(
          self.optimizer_config.aux_opt, params=quant_params
      )
  
      lr_sched = hydra.utils.instantiate(
          self.optimizer_config.model_opt_schedule, optimizer=optimizer
      )
      aux_lr_sched = hydra.utils.instantiate(
          self.optimizer_config.aux_opt_schedule,
          optimizer=aux_optimizer,
      )
  
      return ([optimizer, aux_optimizer], [lr_sched, aux_lr_sched])
  
imports: import math
  from typing import List, NamedTuple, Optional
  import hydra
  import torch
  from image_module import ImageModule
  from omegaconf import DictConfig
  from torch import Tensor
  from torch.utils.data import Dataset
  from neuralcompression import HyperpriorOutput
  from neuralcompression.loss_fn import DistortionLoss, MSELoss, TargetRateConfig
  from neuralcompression.metrics import pickle_size_of
  from neuralcompression.models import HyperpriorAutoencoderBase
label_desc: Use image node_id 13 for calling the TargetRateCompressionModule obj's underlying member method code with example usage: obj.configure_optimizers() and returns: list,  list