Matthias Boehm created SYSTEMML-1818:
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Summary: 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
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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