code: def test_recommend_auto_balance():
      with pytest.raises(ValueError, match="fairscale.nn.pipe.balance"):
          # balance is required
          Pipe(nn.Sequential())
  
      with pytest.raises(ValueError, match="fairscale.nn.pipe.balance"):
          # module and sum of balance have differen length (module: 0, sum of balance: 1)
          Pipe(nn.Sequential(), [1])
  
      with pytest.raises(ValueError, match="fairscale.nn.pipe.balance"):
          # module and sum of balance have different length (module: 2, sum of balance: 1)
          Pipe(nn.Sequential(nn.Linear(1, 1), nn.Linear(1, 1)), [1])
  
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 30 for calling a global function with example usage: test_recommend_auto_balance() without return types