code: def test_torch_nano_load_state_dict(self):
      # _ipex_optimizer does not support load_state_dict until 1.13
      # https://github.com/intel/intel-extension-for-pytorch/blob/release/1.12/
      # intel_extension_for_pytorch/optim/_optimizer_utils.py#L72
      from bigdl.nano.utils.common import compare_version
      import operator
  
      if compare_version(
          "intel_extension_for_pytorch", operator.lt, "1.13"
      ):
          pass
      else:
          MyNanoLoadStateDict(use_ipex=True).train(0.25)
  
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 12 for calling the Lite obj's underlying member method code with example usage: obj.test_torch_nano_load_state_dict() without return types