code: def setup_optimization(self):
      cfg = self._cfg.optim
      optimizer_args = dict(cfg)
      optimizer_args.pop("name", None)
  
      optimizer = optim.get_optimizer(cfg.name)
  
      optimizer = optimizer(params=self.parameters(), **optimizer_args)
  
      self._optimizer = optimizer
  
imports: import os
  import random
  import cv2
  import imageio
  import numpy
  import torch
  from nemo.collections.multimodal.models.nerf.txt2nerf_base import Txt2NerfBase
  from nemo.collections.multimodal.modules.nerf.loss.laplacian_smooth_loss import LaplacianSmoothLoss
  from nemo.collections.multimodal.modules.nerf.loss.normal_consistency_loss import NormalConsistencyLoss
  from nemo.collections.multimodal.modules.nerf.materials.materials_base import ShadingEnum
  from nemo.core import optim
label_desc: Use image node_id 9 for calling the DreamFusion obj's underlying member method code with example usage: obj.setup_optimization() without return types