code: def titanic_model_torch():
      model = TitanicSimpleTorchModel()
      model.load_state_dict(
          torch.load("tests/assets/titanic_model_torch.pickle")
      )
      return model
  
imports: import pytest
  import pickle
  import torch
  import numpy
  from keras.datasets import cifar10
  import pandas
  from sklearn.model_selection import train_test_split
  import os
  from quantus.helpers.model.models import LeNet, LeNetTF, CifarCNNModel, ConvNet1D, ConvNet1DTF, TitanicSimpleTFModel, TitanicSimpleTorchModel
label_desc: Use image node_id 17 for calling a global function with example usage: titanic_model_torch() and returns: model