[Inductor][Intel GPU] Save threads_per_warp from tirton compiled kernel for launching kernel correctly in cpp wrapper.#163388
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atalman merged 1 commit intorelease/2.9from Sep 26, 2025
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…rnel for launching kernel correctly in cpp wrapper. (#163315) On the Inductor XPU backend, `threads_per_warp` is not always 32. For Intel GEMM Triton kernels, it can be 16. This information must be preserved for XPU so that the Cpp wrapper can launch the kernel with the correct configuration. Pull Request resolved: #163315 Approved by: https://github.com/EikanWang, https://github.com/desertfire (cherry picked from commit 9f8a311)
This was referenced Sep 20, 2025
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/163388
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit 1f213fa with merge base 4840a1a ( FLAKY - The following job failed but was likely due to flakiness present on trunk:
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EikanWang
approved these changes
Sep 22, 2025
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Hi, @atalman This cherry-pick for release/2.9 is to fix the new feature that support flex attention on Inductor Intel GPU backend. Could you kindly help have a review? |
desertfire
approved these changes
Sep 23, 2025
atalman
approved these changes
Sep 26, 2025
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Stack from ghstack (oldest at bottom):
threads_per_warpfrom tirton compiled kernel for launching kernel correctly in cpp wrapper. #163315On the Inductor XPU backend,
threads_per_warpis not always 32. For Intel GEMM Triton kernels, it can be 16. This information must be preserved for XPU so that the Cpp wrapper can launch the kernel with the correct configuration.cc @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @chenyang78 @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben