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https://issues.apache.org/jira/browse/SYSTEMML-1817?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Matthias Boehm resolved SYSTEMML-1817.
--------------------------------------
       Resolution: Fixed
         Assignee: Matthias Boehm
    Fix Version/s: SystemML 1.0

> Full standard deviation fails due to wrong data type 
> -----------------------------------------------------
>
>                 Key: SYSTEMML-1817
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1817
>             Project: SystemML
>          Issue Type: Bug
>            Reporter: Matthias Boehm
>            Assignee: Matthias Boehm
>             Fix For: SystemML 1.0
>
>
> The following script currently fails due to incorrect hop construction of 
> {{sd(Xi)}} at language level:
> {code}
> X = rand(rows=1000, cols=100);
> R = matrix(0, ncol(X), 4)
> parfor(i in 1:ncol(X), log=DEBUG) {
>    Xi = X[,i];
>    R[i,1] = mean(Xi);                  # mean
>    R[i,2] = sd(Xi);                    # standard deviation
>    R[i,3] = moment(Xi,3)/(sd(Xi)^3);   # skewness
>    R[i,4] = moment(Xi,4)/(sd(Xi)^4)-3; # kurtosis
> }
> {code}
> The stacktrace is as follows
> {code}
> Caused by: org.apache.sysml.runtime.DMLRuntimeException: Variable '_Var1703' 
> does not exist in the symbol table.
>       at 
> org.apache.sysml.runtime.controlprogram.context.ExecutionContext.getMatrixObject(ExecutionContext.java:186)
>       at 
> org.apache.sysml.runtime.controlprogram.context.ExecutionContext.setMatrixOutput(ExecutionContext.java:451)
>       at 
> org.apache.sysml.runtime.instructions.cp.MatrixBuiltinCPInstruction.processInstruction(MatrixBuiltinCPInstruction.java:59)
>       at 
> org.apache.sysml.runtime.controlprogram.ProgramBlock.executeSingleInstruction(ProgramBlock.java:286)
>       ... 6 more
> {code}
> which is cause by the following instruction which has an output type MATRIX 
> although it should be SCALAR.
> {code}
> --------CP uavar _mVar3.MATRIX.DOUBLE _mVar5.MATRIX.DOUBLE 24
> {code}
> Interestingly, this only shows up when there are multiple consumers with 
> matrix and scalar data types.



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