code: def test_compile_transformer():
      """Smoke test to ensure the transformer model compiles without errors."""
      transformer = Transformer(vocab_size=8)
      transformer = torch.compile(transformer)
      inputs = torch.randint(0, transformer.vocab_size, size=(2, 8))
      targets = torch.randint(0, transformer.vocab_size, size=(2, 8))
      for i in range(3):
          transformer(inputs, targets).sum().backward()
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_compile_transformer() without return types