pytorch - ✅(Solved) Fix DISABLED test_scaled_mm_deepseek_error_messages_bfloat16_lhs_block_1_rhs_block_128_M_256_N_256_K_512_cuda (__main__.TestFP8MatmulCUDA) [2 pull requests, 1 comments, 2 participants]

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pytorch/pytorch#180077Fetched 2026-04-11 06:08:23
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Root Cause

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

PR fix notes

PR #180384: [ROCm] Update scaled_mm DeepSeek error message

Description (problem / solution / changelog)

Fixes https://github.com/pytorch/pytorch/issues/180074. Fixes https://github.com/pytorch/pytorch/issues/180075. Fixes https://github.com/pytorch/pytorch/issues/180076. Fixes https://github.com/pytorch/pytorch/issues/180077. Fixes https://github.com/pytorch/pytorch/issues/180078. Fixes https://github.com/pytorch/pytorch/issues/179954.

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @naromero77amd @pragupta @jerrymannil @xinyazhang

Changed files

  • test/test_scaled_matmul_cuda.py (modified, +2/-2)

PR #180690: [ROCm] Update scaled_mm DeepSeek error message

Description (problem / solution / changelog)

Fixes https://github.com/pytorch/pytorch/issues/180074. Fixes https://github.com/pytorch/pytorch/issues/180075. Fixes https://github.com/pytorch/pytorch/issues/180076. Fixes https://github.com/pytorch/pytorch/issues/180077. Fixes https://github.com/pytorch/pytorch/issues/180078. Fixes https://github.com/pytorch/pytorch/issues/179954.

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @jataylo @hongxiayang @naromero77amd @pragupta @jerrymannil @xinyazhang

Changed files

  • test/test_scaled_matmul_cuda.py (modified, +2/-2)
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

extent analysis

TL;DR

The test failure in test_scaled_matmul_cuda.py on the main branch may be resolved by investigating and addressing the issues related to the TestFP8MatmulCUDA test case.

Guidance

  • Investigate the failure captures on torch-ci.com to understand the error messages and identify the root cause of the test failure.
  • Review the test_scaled_matmul_cuda.py file, specifically the TestFP8MatmulCUDA test case, to see if there are any issues with the test itself or its dependencies.
  • Check if there are any known issues or fixes related to the TestFP8MatmulCUDA test case in the project's issue tracker or documentation.
  • Consider re-enabling the test and running it locally to gather more information about the failure.

Notes

The provided information does not include specific details about the error messages or the test failure, so further investigation is needed to determine the root cause and develop a fix.

Recommendation

Apply workaround: Investigate and address the issues related to the TestFP8MatmulCUDA test case, as the test failure is specific to this case and may require targeted fixes or changes to the test or its dependencies.

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