code: def _initialize_optimizer(self):
      self.optimizer = self._initialize(
          "optimizer",
          paddle.optimizer,
          parameters=self.model.parameters(),
          learning_rate=self.lr_scheduler,
      )
  
imports: import os
  import pathlib
  import shutil
  from pprint import pformat
  import anyconfig
  import paddle
  import numpy
  import random
  from paddle.jit import to_static
  from paddle.static import InputSpec
  from utils import setup_logger
label_desc: Use image node_id 12 for calling the BaseTrainer obj's underlying member method code with example usage: obj._initialize_optimizer() without return types