Use quiet_NaN() in calc_digamma, not NAN#50412
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This not only specifies the data types of these NaNs, but also indicate that the function isn't signaling anything unusual.
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kshitij12345
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LGTM! Better to be explicit! Thanks for the catch!
Codecov Report
@@ Coverage Diff @@
## master #50412 +/- ##
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Coverage 80.69% 80.70%
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Files 1905 1905
Lines 206789 206789
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+ Hits 166872 166879 +7
+ Misses 39917 39910 -7 |
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@pytorchbot merge this please |
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Summary: This not only specifies the data types of these NaNs, but also indicate that the function isn't signaling anything unusual. Pull Request resolved: pytorch#50412 Reviewed By: mrshenli Differential Revision: D25899828 Pulled By: ezyang fbshipit-source-id: a8ded10954ad08cba3098aa473c6b77f2e03dc93
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This not only specifies the data types of these NaNs, but also indicate
that the function isn't signaling anything unusual.