code: def exception(pipe_class):
      class ExpectedException(Exception):
          pass
  
      class Raise(nn.Module):
          def forward(self, *_):
              raise ExpectedException()
  
      model = nn.Sequential(Raise())
      model = pipe_class(
          model, balance=[1], worker_map=get_worker_map(), chunks=1
      )
  
      with pytest.raises(ExpectedException):
          model(torch.rand(1))
  
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 20 for calling a global function with example usage: exception(pipe_class) without return types