code: def state_dict(self):
      state = {
          "config": self.config,
          "model": self.model.state_dict(),
          "optimizer": self.optimizer.state_dict(),
      }
      return state
  
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 17 for calling the PytorchBaseModel obj's underlying member method code with example usage: obj.state_dict() and returns: state