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
  from zoo.orca.automl.model.abstract import BaseModel, ModelBuilder
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.pytorch_utils import LR_NAME, DEFAULT_LR
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