code: def train(self):
      model = ResNet18(
          10, pretrained=False, include_top=False, freeze=True
      )
      optimizer = torch.optim.Adam(model.parameters(), lr=0.01)
      train_loader = create_data_loader(
          data_dir, batch_size, num_workers, data_transform
      )
      model, optimizer, train_loader = self.setup(
          model, optimizer, train_loader
      )
  
      # access a custom attribute
      model.do_nothing()
  
imports: import os
  import math
  import platform
  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
label_desc: Use image node_id 1 for calling the MyNanoAccess obj's underlying member method code with example usage: obj.train() without return types