Reduce memory usage in ConstrainedMaxPosteriorSampling #2622
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Summary: Resolves pytorch#2620 When a `ModelListGP` is used for the constraint model, we can loop over the sub-models to generate the samples to reduce peak memory usage. Differential Revision: D65881867
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This pull request was exported from Phabricator. Differential Revision: D65881867 |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #2622 +/- ##
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Coverage 99.98% 99.98%
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Files 196 196
Lines 17328 17332 +4
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+ Hits 17326 17330 +4
Misses 2 2 ☔ View full report in Codecov by Sentry. |
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This pull request has been merged in 92d73e4. |
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Summary:
Resolves #2620
When a
ModelListGPis used for the constraint model, we can loop over the sub-models to generate the samples to reduce peak memory usage.Differential Revision: D65881867