code: def _get_optional_parameters(self):
      return {"batch_size", LR_NAME, "dropout", "optim", "loss"}
  
imports: import torch
  from torch.utils.data import TensorDataset, DataLoader
  import types
  import numpy
  import math
  import pandas
  import tempfile
  import os
  import copy
  from bigdl.orca.automl.model.abstract import BaseModel, ModelBuilder
  from bigdl.orca.automl.metrics import Evaluator
  from bigdl.orca.automl.pytorch_utils import LR_NAME, DEFAULT_LR
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 25 for calling the PytorchBaseModel obj's underlying member method code with example usage: obj._get_optional_parameters() and returns: unknown