code: def missing_worker_map(pipe_class):
      model = nn.Sequential(nn.ReLU(), nn.ReLU())
  
      with pytest.raises(
          ValueError,
          match="'RpcTransport' requires 'worker_map' to be set",
      ):
          pipe_class(model, [1, 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 36 for calling a global function with example usage: missing_worker_map(pipe_class) without return types