pytorch - 💡(How to fix) Fix DISABLED test_unary_ufunc_numerical_log10_backend_inductor_numerics_cuda_float16 (__main__.TestOpInfoPropertiesCUDA) [1 comments, 2 participants]

TL;DR

The test failure on the main branch for test_torchinductor_opinfo_properties.py may be resolved by investigating and addressing the numerical instability or precision issues related to the unary_ufunc_numerical_log10 test with CUDA and float16 backend.

Guidance

• Review the recent failure examples on torch-ci.com to understand the nature of the test failures and identify any patterns or commonalities.
• Investigate potential numerical instability or precision issues with the log10 function, particularly when using float16 data type on CUDA backend.
• Consider modifying the test to use a more robust numerical method or increasing the tolerance for the test to account for potential precision issues.
• Check if similar issues have been reported or resolved in the past, and review any relevant discussions or fixes.

Notes

The provided information does not include specific error messages or stack traces, making it challenging to provide a more targeted solution. Further investigation into the test failures and the unary_ufunc_numerical_log10 function is necessary to determine the root cause.

Recommendation

Apply workaround: Modify the test to use a more robust numerical method or increase the tolerance to account for potential precision issues, as the root cause appears to be related to numerical instability rather than a straightforward bug.