[
https://issues.apache.org/jira/browse/SYSTEMML-1675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mike Dusenberry resolved SYSTEMML-1675.
---------------------------------------
Resolution: Fixed
Fix Version/s: SystemML 1.0
Merged in [commit c83e99a |
https://github.com/apache/systemml/commit/c83e99af755100e37f3e4fbfed20b5c455a635d5].
> 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.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
