code: def test_parameters():
      model = nn.Sequential(nn.Linear(1, 1))
      pipe = Pipe(model, balance=[1], devices=["cpu"], chunks=1)
      assert list(pipe.parameters()) != []
  
imports: from collections import OrderedDict
  from copy import deepcopy
  import time
  import pytest
  import torch
  from torch import nn
  from fairscale.nn.pipe import Pipe
label_desc: Use image node_id 1 for calling a global function with example usage: test_parameters() without return types