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https://issues.apache.org/jira/browse/SYSTEMML-1483?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15995894#comment-15995894
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Prithviraj Sen commented on SYSTEMML-1483:
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I tried running conv2d_backward_data with a 3X3 filter and 2X2 delta map (no
padding, stride=1). It returned a 3X3 output. Running a valid convolution on a
3X3 input with a 3X3 filter does not return a 2X2 output. That's why I couldn't
figure out whether the behavior of conv2d_backward_data was correct, in this
case.
Running a valid convolution with a 3X3 filter on a 4X4 input does return a 2X2
output. This is why, I was expecting a 4X4 result in the previous case.
> Add Deconvolution layer in nn library and Caffe2DML
> ---------------------------------------------------
>
> Key: SYSTEMML-1483
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1483
> Project: SystemML
> Issue Type: Sub-task
> Reporter: Niketan Pansare
>
> http://caffe.berkeleyvision.org/tutorial/layers/deconvolution.html
> [~mwdus...@us.ibm.com] [~prithvi_r_s]
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