class_docstr: These test check that you can call TorchInductor directly without
  going through TorchDynamo.
class_docstr_tok: ["These","test","check","that","you","can","call","TorchInductor","directly","without","going","through","TorchDynamo","."]
code: def test_inductor_via_op_with_multiple_outputs(self):
      x1 = torch.randn((2, 512, 128))
      x2 = [128]
      x3 = torch.randn(128)
      x4 = torch.randn((128,))
      x5 = 1e-6
      mod, inp = gen_gm_and_inputs(
          torch.ops.aten.native_layer_norm.default,
          (x1, x2, x3, x4, x5),
          {},
      )
      mod_opt = inductor.compile(mod, inp)
      self.assertEqual(mod(*inp), mod_opt(*inp))
  
imports: import torch
  from torch import _dynamo, _inductor
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._inductor.utils import gen_gm_and_inputs
  from torch.fx import symbolic_trace
  from torch.fx.experimental.proxy_tensor import make_fx
  from torch.testing._internal.inductor_utils import HAS_CPU
label_desc: Use image node_id 8 for calling the TestStandaloneInductor obj's underlying member method code with example usage: obj.test_inductor_via_op_with_multiple_outputs() without return types