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pytorch - ✅(Solved) Fix DISABLED test_activation_functions (__main__.ComboKernelTestsPerSubkernelBlocks) [2 pull requests, 1 comments, 2 participants]

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pytorch/pytorch#180022•Fetched 2026-04-11 06:09:55
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praguptapragupta
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praguptapraguptapytorch-bot[bot]pytorch-bot[bot]
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Root Cause

This test was disabled because it is failing on main branch (recent examples).

PR fix notes

PR #180277: [ROCm][inductor][UT] Preserve combo kernel HIP compile options

Description (problem / solution / changelog)

Fixes #180011 Fixes #180012 Fixes #180013 Fixes #180014 Fixes #180015 Fixes #180016 Fixes #180021 Fixes #179952 Fixes #180022 Fixes #180025 Fixes #180027 Fixes #180028 Fixes #180029 Fixes #180549

This appears to have regressed in #177715, where combo-kernel autotuning started materializing alternate per-subkernel configs. This change keeps Triton HIP compile options such as waves_per_eu, matrix_instr_nonkdim, and kpack kernel-wide when combo kernels rewrite per-subkernel configs, avoiding invalid names like waves_per_eu_0. It also routes both baseline combo configs and sequential combo autotune trials through the same kwarg rewrite helper and adds a regression test covering combo-kernel kwarg rewriting for AMD special config args.

Made with Cursor

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @pragupta @jerrymannil @xinyazhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben @mlazos

Changed files

  • test/inductor/test_combo_kernels.py (modified, +26/-0)
  • torch/_inductor/runtime/triton_heuristics.py (modified, +60/-26)

PR #180319: [ROCm] Handle profiler trace format differences in combo kernel tests

Description (problem / solution / changelog)

Fixes #180017. Fixes #180018. Fixes #180019.

Three combo kernel tests access event["args"]["grid"] from profiler chrome traces. The grid key structure differs between CUPTI and ROCTracer trace formats, so this throws KeyError on ROCm.

Use .get() and only assert on grid values when present. All other validation (numerical correctness, kernel counts, codegen) still runs. No change to CUDA path where grid is always present there so assertions execute as before.

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @naromero77amd @pragupta @jerrymannil @xinyazhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben

Changed files

  • test/inductor/test_combo_kernels.py (modified, +25/-14)
RAW_BUFFERClick to expand / collapse

Platforms: rocm

This test was disabled because it is failing on main branch (recent examples).

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @naromero77amd @jerrymannil @xinyazhang @mruberry @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @ipiszy @kadeng @muchulee8 @amjames @chauhang @aakhundov @coconutruben

extent analysis

TL;DR

The test test_activation_functions in test_combo_kernels.py needs to be investigated and fixed to resolve the failure on the main branch.

Guidance

  • Review the recent failure examples on torch-ci.com to understand the nature of the test failure.
  • Investigate the test_activation_functions test case in test_combo_kernels.py to identify the root cause of the failure.
  • Check if there are any platform-specific issues related to the rocm platform that could be contributing to the test failure.
  • Consider re-enabling the test and running it locally to gather more information about the failure.

Notes

The issue lacks specific technical details about the failure, so a more detailed analysis of the test case and the failure examples is necessary to provide a definitive fix.

Recommendation

Apply workaround: Investigate and fix the test_activation_functions test case, as it is currently disabled due to failures on the main branch.

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#latency issue#model loading#dependency error#configuration error#environment variable

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pytorch - ✅(Solved) Fix DISABLED test_activation_functions (__main__.ComboKernelTestsPerSubkernelBlocks) [2 pull requests, 1 comments, 2 participants]