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https://issues.apache.org/jira/browse/SYSTEMML-1818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Glenn Weidner updated SYSTEMML-1818:
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Fix Version/s: (was: SystemML 1.0)
SystemML 0.15
> Perftest: Kmeans train fails for 10Kx100, k=50, w/ forced singlenode
> --------------------------------------------------------------------
>
> Key: SYSTEMML-1818
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1818
> Project: SystemML
> Issue Type: Bug
> Reporter: Matthias Boehm
> Assignee: Matthias Boehm
> Fix For: SystemML 0.15
>
>
> The kmeans algorithm fails when forced to singlenode with the following
> exception:
> {code}
> Caused by: org.apache.sysml.runtime.DMLRuntimeException: Invalid values for
> matrix indexing: dimensions of the source matrix [451x10] do not match the
> shape of the matrix specified by indices [1:10, 1:10].
> at
> org.apache.sysml.runtime.matrix.data.MatrixBlock.leftIndexingOperations(MatrixBlock.java:3654)
> at
> org.apache.sysml.runtime.matrix.data.MatrixBlock.leftIndexingOperations(MatrixBlock.java:3631)
> at
> org.apache.sysml.runtime.instructions.cp.MatrixIndexingCPInstruction.processInstruction(MatrixIndexingCPInstruction.java:95)
> at
> org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:286)
> {code}
> Furthermore, there seems to be an issue of unnecessary spark context creation
> - in hybrid_spark mode we do not instantiate the spark context, while in
> forced singlenode we do.
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