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pytorch - 💡(How to fix) Fix DISABLED test_rocm_addmm_aten_bias_input_is_1d (__main__.TestMaxAutotuneAsyncPipelined) [1 comments, 2 participants]

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pytorch/pytorch#179966•Fetched 2026-04-11 06:10:55
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jithunnair-amdjithunnair-amd
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jithunnair-amdjithunnair-amdpytorch-bot[bot]pytorch-bot[bot]
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Root Cause

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

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Platforms: rocm

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

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

extent analysis

TL;DR

The test failure in test_max_autotune.py on the main branch for the rocm platform may be resolved by investigating and addressing the issue in the test_rocm_addmm_aten_bias_input_is_1d test case.

Guidance

  • Investigate the recent failures on torch-ci.com to identify patterns or commonalities in the test failures.
  • Review the test_rocm_addmm_aten_bias_input_is_1d test case in test_max_autotune.py to understand the test's requirements and potential failure points.
  • Consider re-enabling the test and running it locally or on a CI environment to gather more detailed error messages or logs.

Notes

The provided information lacks specific technical details about the failure, making it challenging to provide a precise fix or workaround.

Recommendation

Apply workaround: Since the root cause of the failure is not explicitly stated, it's recommended to apply a workaround by re-enabling the test and gathering more detailed error messages or logs to aid in debugging.

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#installation#tensor shape#autograd error#model save/load#optimization

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pytorch - 💡(How to fix) Fix DISABLED test_rocm_addmm_aten_bias_input_is_1d (__main__.TestMaxAutotuneAsyncPipelined) [1 comments, 2 participants]