[Inductor] Fix the issue that cannot pass lint check for debug mode (p…

…ytorch#97249)

Pull Request resolved: pytorch#97249
Approved by: https://github.com/jgong5, https://github.com/desertfire, https://github.com/jansel

test/inductor/test_torchinductor.py

@@ -6372,14 +6372,19 @@ def fn(x, y):
             x = torch.randn((2, 9), dtype=torch.bfloat16)
             y = torch.randn((2, 9), dtype=torch.bfloat16)
 
-            with config.patch({"cpp.simdlen": None}):
-                torch._dynamo.reset()
-                metrics.reset()
-                traced = make_fx(fn)(x, y)
-                compiled = compile_fx_inner(traced, [x, y])
-                assert same(fn(x, y)[0], compiled([x, y])[0], equal_nan=True, tol=1e-2)
-                if codecache.valid_vec_isa_list():
-                    assert metrics.generated_cpp_vec_kernel_count == 1
+            for torch_compile_debug in [True, False]:
+                with config.patch(
+                    {"trace.enabled": torch_compile_debug, "cpp.simdlen": None}
+                ):
+                    torch._dynamo.reset()
+                    metrics.reset()
+                    traced = make_fx(fn)(x, y)
+                    compiled = compile_fx_inner(traced, [x, y])
+                    assert same(
+                        fn(x, y)[0], compiled([x, y])[0], equal_nan=True, tol=1e-2
+                    )
+                    if codecache.valid_vec_isa_list():
+                        assert metrics.generated_cpp_vec_kernel_count == 1
 
         @unittest.skipIf(
             not codecache.valid_vec_isa_list(), "Does not support vectorization"