[ 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)