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https://issues.apache.org/jira/browse/SYSTEMML-845?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15410063#comment-15410063
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Niketan Pansare commented on SYSTEMML-845:
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[[email protected]] The performance of
https://issues.apache.org/jira/secure/attachment/12822211/lenet-train-spark-explain.log
is as expected. I am planning to deliver a commit with performance improvement
to maxpool_bwd by next week.
Regarding
https://issues.apache.org/jira/secure/attachment/12822212/mnist_lenet-train-spark-explain.log,
am I correct in assuming that both scripts have identical DML except that
mnist_lenet-train has UDF. Can you please run the scripts again with `-explain
recompile_hops` ?
> Compare Performance of LeNet Scripts With & Without Using SystemML-NN
> ---------------------------------------------------------------------
>
> Key: SYSTEMML-845
> URL: https://issues.apache.org/jira/browse/SYSTEMML-845
> Project: SystemML
> Issue Type: Improvement
> Reporter: Mike Dusenberry
> Attachments: convert.dml, lenet-train-spark-explain.log,
> log08.03.16-1470268602.txt, mnist_lenet-train-spark-explain.log, perf.sh,
> run.sh
>
>
> This JIRA issue tracks the comparison of the performance of the LeNet scripts
> with & without using SystemML-NN. The goal is that they should have equal
> performance in terms of both accuracy and time. Any difference will be
> indicate areas of engine improvement.
> Scripts:
> * [mnist_lenet-train.dml |
> https://github.com/apache/incubator-systemml/blob/master/scripts/staging/SystemML-NN/examples/mnist_lenet-train.dml]
> - LeNet script that *does* use the SystemML-NN library.
> * [lenet-train.dml |
> https://github.com/apache/incubator-systemml/blob/master/scripts/staging/lenet-train.dml]
> - LeNet script that *does not* use the SystemML-NN library.
> To fully reproduce, I basically created a directory, placed the two attached
> bash scripts in it, grabbed a copy of the NN library and placed it into the
> directory, ran the examples/get_mnist_data.sh script from the library to get
> the data (placed into examples/data), then used the attached convert.dml to
> create binary copies of the data for both scripts, then ran run.sh. Also, I
> copied examples/data to the base directory as well. Adjust the {{EXEC}} and
> related variables in {{perf.sh}} to switch between standalone, Spark, memory
> sizes, explain, stats, etc.
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