fix torch.div for torch.complex datatypes on CPU #140375
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/140375
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 3662806 with merge base 6cb186e ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
mingfeima
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Jan 14, 2025
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hi @Skylion007 , could you please review this PR? thanks! |
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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Stack from ghstack (oldest at bottom):
Fix #135428.
Fix #106845.
These two issues are caused by the lack of special handling of the case where the real number/imag number is 0/Inf/NaN in the vectorized implementation of
div. For correctness, I temporarily fallback the implementation ofdivto scalar implementation.cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10