[bobrenjc93]

Summary:
test_a_tuned_shape_traces_only_its_picked_config finds the user kernel in Inductor's wrapper by the exact text def _int4_w4a16_direct_kernel(. That only matches the wrapper's async_compile.triton('''...''') string form, which keeps the kernel's own name.

pytorch/pytorch#200502 makes Inductor's python wrapper define each Triton kernel as module-level code by default. There, the def takes Inductor's kernel name, _int4_w4a16_direct_kernel_0. The test failed on its DiffTrain import, D126740082, which was reverted partly for this.

The test now matches ^def <name>\w*\( and slices back to the user_autotune( before that match. The decorator's configs=[...] still comes right before the def in both forms, so the check that only the picked config is traced is unchanged. This lands ahead of the #200502 reland.

---

landed-with-radar-review

Differential Revision: D126992211

[pytorch-bot]

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❌ 1 Cancelled Job, 1 Pending, 3 Unrelated Failures, 2 Unclassified Failures

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👉 Rebase onto the `viable/strict` branch to avoid these failures

• Test CUDA Builds / test-muse-glimmer-cuda-e2e-kquant-17gb-solo-text-batching / linux-job (gh) (trunk failure)
  RuntimeError: Command bash /__w/_temp/exec_script failed with exit code 1
• Test CUDA Builds / unittest-cuda-muse-glimmer-batching / linux-job (gh) (trunk failure)
  [ FAILED ] CudaDFlashNative.FinalWholeBlockFitsExactlyAndPreservesAllPrefillRows

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