[ https://issues.apache.org/jira/browse/SYSTEMML-1818?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Matthias Boehm resolved SYSTEMML-1818. -------------------------------------- Resolution: Fixed Assignee: Matthias Boehm Fix Version/s: SystemML 1.0 > 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 1.0 > > > 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. -- This message was sent by Atlassian JIRA (v6.4.14#64029)