code: def test_shufflenet(self):
      shufflenet = vision.shufflenet_v2_x1_0(
          pretrained=False, include_top=False, freeze=True
      )
      train_with_linear_top_layer(
          shufflenet, batch_size, num_workers, data_dir
      )
  
file_path: BigDL/python/nano/test/pytorch/tests/vision/test_vision.py
imports: import pytest
  import os
  from unittest import TestCase
  from bigdl.nano.pytorch.vision.models import vision
  from test.pytorch.utils._train_torch_lightning import train_with_linear_top_layer
label_desc: Use image node_id 7 for calling the TestVision obj's underlying member method code with example usage: obj.test_shufflenet() without return types