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From "Fei Hu (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SYSTEMML-1762) Improve the robustness of sparse matrix reshape function for the Spark mode
Date Wed, 12 Jul 2017 19:12:00 GMT

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

Fei Hu reassigned SYSTEMML-1762:
--------------------------------

    Assignee: Fei Hu

> Improve the robustness of sparse 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: Fei Hu
>         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],
there is a 
> {{java.lang.NullPointerException}} error when reshaping the sparse matrix. The involved
function is {{org.apache.sysml.runtime.matrix.data.LibMatrixReorg#reshapeSparse}} . The reason
is that the output matrix index computed by {{org.apache.sysml.runtime.matrix.data.LibMatrixReorg#computeResultBlockIndex}}
does not exist 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.  
> 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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