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https://issues.apache.org/jira/browse/SYSTEMML-1675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16054728#comment-16054728
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Mike Dusenberry commented on SYSTEMML-1675:
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cc [~niketanpansare], [~reinwald], [~reinw...@us.ibm.com]
> Add a new 2D depthwise transpose convolution layer
> --------------------------------------------------
>
> Key: SYSTEMML-1675
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1675
> Project: SystemML
> Issue Type: Sub-task
> Reporter: Mike Dusenberry
> Assignee: Mike Dusenberry
> Fix For: SystemML 1.0
>
>
> A depthwise transpose convolution (1) applies a different filter to each
> unique group of M input channels separately, thus condensing each group of M
> input channels to 1 output channel, and (2) concatenates the results into a
> single volume with C/M output channels. This is in contrast to a regular 2D
> transpose convolution, in which all of the filters would be applied to all of
> the input channels at once.
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