code: def test_sequential_like(balance):
      a = nn.Linear(1, 1)
      b = nn.Linear(1, 1)
  
      model = nn.Sequential(a, b)
      model = Pipe(model, balance, devices=["cpu", "cpu"])
  
      assert len(model) == 2
      assert list(model) == [a, b]
  
      assert model[0] is a
      assert model[1] is b
      with pytest.raises(IndexError):
          _ = model[2]
  
      assert model[-1] is b
      assert model[-2] is a
  
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 3 for calling a global function with example usage: test_sequential_like(balance) without return types