utils.sigmoid with log and fat options
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Summary: Pull Request resolved: pytorch#1936 This commit introduces `qLogExpectedImprovement` (`qLogEI`), which computes the logarithm of a smooth approximation to the regular EI utility. As EI is known to suffer from vanishing gradients, especially for challenging, constrained, or high-dimensional problems, using `qLogEI` can lead to significant optimization improvements. Differential Revision: https://internalfb.com/D47439148 fbshipit-source-id: da65264ee92f3d36cd39dca9a31bd4645f9b4b21
Summary: This commit introduces `utils.sigmoid` with `log` and `fat` options, thereby enabling easy access and discovery of the `logexpit` and `(log)_fatmoid` functions that exhibit better numerical behavior - when applicable - than the canonical sigmoid. Differential Revision: D47519695 fbshipit-source-id: dbec95231bbaf9b6f6b7dd794a1c6eca5d7dbb64
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This pull request was exported from Phabricator. Differential Revision: D47519695 |
Codecov Report
@@ Coverage Diff @@
## main #1938 +/- ##
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Coverage 99.94% 99.94%
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Files 176 177 +1
Lines 15500 15596 +96
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+ Hits 15492 15588 +96
Misses 8 8
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This pull request has been merged in dfd2a9b. |
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Summary: This commit introduces
utils.sigmoidwithlogandfatoptions, thereby enabling easy access and discovery of thelogexpitand(log)_fatmoidfunctions that exhibit better numerical behavior - when applicable - than the canonical sigmoid.Differential Revision: D47519695