[jira] [Updated] (SYSTEMML-1762) Improve the matrix reshape function for the Spark mode

["Glenn Weidner (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SYSTEMML-1762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Glenn Weidner updated SYSTEMML-1762:
------------------------------------
    Fix Version/s:     (was: SystemML 1.0)
                   SystemML 0.15

> Improve the matrix reshape function for the Spark mode
> ------------------------------------------------------
>
>                 Key: SYSTEMML-1762
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-1762
>             Project: SystemML
>          Issue Type: Bug
>          Components: Algorithms, ParFor, Runtime
>            Reporter: Fei Hu
>            Assignee: Matthias Boehm
>             Fix For: SystemML 0.15
>
>         Attachments: MNIST_Distrib_Sgd.scala
>
>
> When running the [distributed MNIST LeNet example | https://github.com/apache/systemml/blob/master/scripts/nn/examples/mnist_lenet_distrib_sgd.dml], it works well in the hybrid mode. But in the Spark mode, there are some errors about
> {{java.lang.NullPointerException}}  and {{java.lang.ArrayIndexOutOfBoundsException: 1000}} when reshaping the matrix. The involved functions are {{org.apache.sysml.runtime.matrix.data.LibMatrixReorg#reshapeSparse}} and {{org.apache.sysml.runtime.matrix.data.LibMatrixReorg#reshapeDense}}. The reason is that the output matrix index computed by {{org.apache.sysml.runtime.matrix.data.LibMatrixReorg#computeResultBlockIndex}} does not match the keys in the {{HashMap<MatrixIndexes,MatrixBlock> rix}}. 
> To reproduce the error, the attached scala file {{MNIST_Distrib_Sgd.scala}} could be used to run the distributed MNIST example.  
> In addition, if adding some codes to ignore the null output matrix block from {{MatrixBlock out = rix.get(ixtmp)}},  the distributed MNIST example could run in the Spark mode, but the result may not be right. 



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