code: def train(self):
      t = torch.tensor([0], device="cuda:0")
      assert t.device.type == "cpu"
  
imports: import os
  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 MyNanoCUDA obj's underlying member method code with example usage: obj.train() without return types