code: def setUp(self) -> None:
      if not torch.cuda.is_available():
          raise unittest.SkipTest("CUDA not available, skipping test")
  
      torch.cuda.set_device(0)
  
      _, filename = tempfile.mkstemp()
      _, filename_rpc = tempfile.mkstemp()
  
      dist_init(0, 1, filename, filename_rpc)
  
      self.device = torch.device("cuda")
  
      print("Build model ...")
      self.model = TransformerWithLMHead()
      self.model.to(self.device)
  
imports: from collections import OrderedDict
  from dataclasses import dataclass
  import tempfile
  import unittest
  import torch
  from torch import nn
  from fairscale.fair_dev.testing.testing import dist_init
  from fairscale.nn import FullyShardedDataParallel
  from fairscale.nn import auto_wrap, enable_wrap
label_desc: Use image node_id 1 for calling the TestHFTransformersAutoWrap obj's underlying member method code with example usage: obj.setUp() without return types