code: def test_compile_api(self):
      # these are mostly checking config processing doesn't blow up with exceptions
      x = torch.randn(8)
      y = dummy_fn(x)
      checks = [
          {},
          {"mode": "default"},
          {"mode": "reduce-overhead"},
          {"mode": "max-autotune"},
          {
              "options": {
                  "max-fusion-size": 128,
                  "unroll_reductions_threshold": 32,
                  "triton.cudagraphs": False,
              }
          },
          {"dynamic": True},
          {"fullgraph": True, "backend": "inductor"},
          {"disable": True},
      ]
  
      for kwargs in checks:
          torch._dynamo.reset()
          opt_fn = torch.compile(dummy_fn, **kwargs)
          torch.testing.assert_allclose(
              opt_fn(x),
              y,
              msg=f"torch.compile(..., **{kwargs!r}) failed",
          )
  
imports: import math
  import unittest
  import torch
  from torch._dynamo.test_case import run_tests, TestCase
  from torch._inductor import config
  from torch.testing._internal.inductor_utils import HAS_CPU
label_desc: Use image node_id 8 for calling the TestInductorConfig obj's underlying member method code with example usage: obj.test_compile_api() without return types