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https://issues.apache.org/jira/browse/SYSTEMML-1675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1675:
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Description: 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.
> 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
>
> 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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