You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@systemml.apache.org by "Mike Dusenberry (JIRA)" <ji...@apache.org> on 2016/10/31 19:43:58 UTC

[jira] [Created] (SYSTEMML-1076) Sparse Max Pooling Unsupported

Mike Dusenberry created SYSTEMML-1076:
-----------------------------------------

             Summary: 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}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)