code: def test_torch_nano_spawn(self):
      model = ResNet18(
          10, pretrained=False, include_top=False, freeze=True
      )
      loss_func = nn.CrossEntropyLoss()
      optimizer = torch.optim.Adam(model.parameters(), lr=0.01)
      train_loader = create_data_loader(
          data_dir, batch_size, num_workers, data_transform
      )
      subprocess_train_loop(
          model,
          optimizer,
          train_loader=train_loader,
          loss_func=loss_func,
      )
  
imports: import os
  import math
  import pytest
  from unittest import TestCase
  import torch
  from torch import nn
  from torch.utils.data import DataLoader, TensorDataset
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from bigdl.nano.pytorch import TorchNano
  from bigdl.nano.pytorch.vision.models import vision
  from bigdl.nano.pytorch import nano
label_desc: Use image node_id 3 for calling the TestLite obj's underlying member method code with example usage: obj.test_torch_nano_spawn() without return types