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https://issues.apache.org/jira/browse/SYSTEMML-2132?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm closed SYSTEMML-2132.
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Resolution: Fixed
Assignee: Matthias Boehm
Fix Version/s: SystemML 1.1
> Autoencoder over 100K x 10K input w/ unnecessary spark ops
> ----------------------------------------------------------
>
> Key: SYSTEMML-2132
> URL: https://issues.apache.org/jira/browse/SYSTEMML-2132
> Project: SystemML
> Issue Type: Bug
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Priority: Major
> Fix For: SystemML 1.1
>
>
> For a dense 100K x 10K input, the current auto encoder script results in
> unnecessary spark operations for the initial permutation matrix multiply.
> After closer inspection this is due to incorrect memory estimates for
> intermediates which is supposed to be a sparse but returns a dense estimate.
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