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https://issues.apache.org/jira/browse/SYSTEMML-1674?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mike Dusenberry updated SYSTEMML-1674:
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Description: A depthwise convolution (1) applies a different set of M
filters to each input channel separately, thus expanding each input channel to
M output channels, and (2) concatenates the results into a single volume with
C*M output channels. This is in contrast to a regular 2D convolution, in which
all of the filters would be applied to all of the input channels at once.
> Add a new 2D depthwise convolution layer
> ----------------------------------------
>
> Key: SYSTEMML-1674
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1674
> Project: SystemML
> Issue Type: Sub-task
> Reporter: Mike Dusenberry
> Assignee: Mike Dusenberry
>
> A depthwise convolution (1) applies a different set of M filters to each
> input channel separately, thus expanding each input channel to M output
> channels, and (2) concatenates the results into a single volume with C*M
> output channels. This is in contrast to a regular 2D convolution, in which
> all of the filters would be applied to all of the input channels at once.
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