code: def configure_optimizers(self):
      logging.info("Initializing %s optimizer" % (self.optim.name))
      if len(self.train_config.finetune_layers):
          for name, param in model.named_parameters():
              if any(
                  [l in name for l in self.train_config.finetune_layers]
              ):  # short list hack
                  logging.info("Fine-tuning parameter", name)
                  param.requires_grad = True
              else:
                  param.requires_grad = False
      if self.optim.name == "Adam":
          optimizer = torch.optim.Adam(
              self.model.parameters(),
              lr=self.optim.lr,
              weight_decay=self.optim.weight_decay,
          )
      elif self.optim.name == "RAdam":  # False for inference riva
          optimizer = RAdam(
              self.model.parameters(),
              lr=self.optim.lr,
              weight_decay=self.optim.weight_decay,
          )
      else:
          logging.info(
              "Unrecognized optimizer %s! Please choose the right optimizer"
              % (self.optim.name)
          )
          exit(1)
  
      return optimizer
  
imports: import contextlib
  import torch
  from hydra.utils import instantiate
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Trainer
  from pytorch_lightning.loggers import TensorBoardLogger
  from nemo.collections.common.tokenizers.text_to_speech.tts_tokenizers import BaseTokenizer
  from nemo.collections.tts.losses.radttsloss import AttentionBinarizationLoss, RADTTSLoss
  from nemo.collections.tts.models.base import SpectrogramGenerator
  from nemo.collections.tts.parts.utils.helpers import batch_from_ragged, g2p_backward_compatible_support, plot_alignment_to_numpy, regulate_len, sample_tts_input
  from nemo.core.classes import Exportable
  from nemo.core.classes.common import typecheck
  from nemo.core.neural_types.elements import Index, MelSpectrogramType, RegressionValuesType, TokenDurationType, TokenIndex
  from nemo.core.neural_types.neural_type import NeuralType
  from nemo.core.optim.radam import RAdam
  from nemo.utils import logging
  from nemo.utils.decorators import experimental
label_desc: Use image node_id 6 for calling the RadTTSModel obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer