code: def balance_wrong_length(pipe_class):
      a = nn.Linear(1, 1)
      b = nn.Linear(1, 1)
  
      model = nn.Sequential(a, b)
  
      with pytest.raises(ValueError):
          pipe_class(model, balance=[1], worker_map=get_worker_map())
  
      with pytest.raises(ValueError):
          pipe_class(model, balance=[3], worker_map=get_worker_map())
  
imports: from collections import OrderedDict
  from copy import deepcopy
  import os
  import time
  import pytest
  import torch
  from torch import nn
  from fairscale.fair_dev.testing.testing import get_worker_map, torch_spawn
  from fairscale.internal import torch_version
  from fairscale.nn.model_parallel.initialize import get_pipeline_parallel_group
  from fairscale.nn.pipe import AsyncPipe
  from fairscale.nn.pipe.types import LazyModule
label_desc: Use image node_id 8 for calling a global function with example usage: balance_wrong_length(pipe_class) without return types