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https://issues.apache.org/jira/browse/MADLIB-1337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan updated MADLIB-1337:
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Priority: Minor (was: Major)
> DL: Better warning and default for gpu memory fraction when no of gpus < no
> of segments
> ---------------------------------------------------------------------------------------
>
> Key: MADLIB-1337
> URL: https://issues.apache.org/jira/browse/MADLIB-1337
> Project: Apache MADlib
> Issue Type: Improvement
> Components: Deep Learning
> Reporter: Nikhil
> Priority: Minor
> Fix For: v1.16
>
>
> We support the use case when no of gpus < no of segments however we noticed
> that sometimes this causes gpdb failures like
> {code:java}
> could not connect to segment: initialization of segworker group failed
> {code}
> # We should give a meaningful warning to the user to make them aware that
> this feature may or may not work and also make a recommendation
> # We should also come up with a better heuristic for the memory fraction
> value. Currently we default to using 90% of the available memory and
> distribute it evenly among the segments.
> Possible recommendations
> 1. Use as many gpus as segments (this may not be practical)
> 2. May be a smaller buffer size will help. Use minibatch preprocessor dl to
> pack less images. (we need to test this before we recommend it)
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