code: def test_torch_nano_spawn(self):
      MyNano(
          use_ipex=True, num_processes=2, distributed_backend="spawn"
      ).train()
  
imports: import os
  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.utils.pytorch import TORCH_VERSION_LESS_2_0
  from bigdl.nano.utils.common import _avx2_checker
label_desc: Use image node_id 3 for calling the Lite obj's underlying member method code with example usage: obj.test_torch_nano_spawn() without return types