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Posted to issues@systemml.apache.org by "Mike Dusenberry (JIRA)" <ji...@apache.org> on 2016/10/31 19:43:58 UTC
[jira] [Commented] (SYSTEMML-1076) Sparse Max Pooling Unsupported
[ https://issues.apache.org/jira/browse/SYSTEMML-1076?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15623148#comment-15623148 ]
Mike Dusenberry commented on SYSTEMML-1076:
-------------------------------------------
cc [~niketanpansare]
> Sparse Max Pooling Unsupported
> ------------------------------
>
> Key: SYSTEMML-1076
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1076
> Project: SystemML
> Issue Type: Bug
> Reporter: Mike Dusenberry
>
> Currently, our max pooling built-in operator does not support sparse matrices. However, sparse matrices are a common possibility in neural nets that make use of ReLU and Dropout layers. Therefore, we should accept sparse matrices as input.
> {code}
> Caused by: org.apache.sysml.runtime.DMLRuntimeException: Sparse maxpooling_backward is not supported
> at org.apache.sysml.runtime.matrix.data.LibMatrixDNN.maxpooling_backward(LibMatrixDNN.java:526)
> at org.apache.sysml.runtime.instructions.cp.ConvolutionCPInstruction.processInstruction(ConvolutionCPInstruction.java:205)
> at org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:305)
> ... 26 more
> {code}
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