TL;DR

• Re-enable and re-run the disabled test test_scaled_matmul_cuda.py to assess the current failure status on the main branch.

Guidance

• Review the recent failure examples on torch-ci.com to understand the error messages and potential causes.
• Investigate the test_scaled_mm_deepseek_error_messages_bfloat16_lhs_block_1_rhs_block_128_M_256_N_256_K_256_cuda test case for specific failure conditions.
• Check for any recent changes in the main branch that might be contributing to the test failure.
• Consider reaching out to the mentioned individuals (e.g., @jeffdaily, @sunway513) for additional insight or expertise on the test and its dependencies.

Notes

• The issue lacks detailed technical information about the failure, so a thorough investigation of the test case and recent changes is necessary.
• Collaboration with the mentioned individuals may be crucial in resolving the issue due to their potential familiarity with the test and its components.

Recommendation

• Apply workaround: Re-enable the test and gather more information about the failure to inform a more targeted fix.
• Reason: The current information is insufficient to propose a direct fix, so gathering more data is a necessary step.