code: def test_pipeline_create(self):
      _pipeline = Pipeline(
          [
              ("preprocess", empty_stage, {}),
              ("inference", empty_stage, {}),
          ]
      )
  
file_path: BigDL/python/nano/test/pytorch/tests/inference/test_pipeline.py
imports: import platform
  from unittest import TestCase
  import pytest
  import torch
  from bigdl.nano.pytorch import Pipeline
  from torchvision.models import resnet18
label_desc: Use image node_id 1 for calling the TestPipeline obj's underlying member method code with example usage: obj.test_pipeline_create() without return types