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https://issues.apache.org/jira/browse/SYSTEMML-1566?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16021668#comment-16021668
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Mike Dusenberry edited comment on SYSTEMML-1566 at 5/23/17 7:00 PM:
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Based on improvements made in SYSTEMML-1554 & SYSTEMML-1561, we are now
actually faster than we were in 0.14, despite the significant regressions.
Therefore, this can be resolved for now.
was (Author: [email protected]):
Based on improvements made in SYSTEMML-1554 & SYSTEMML-1561, we are now
actually faster than we were in 0.14, despite the significant regressions
(which may have been due to correctness). Therefore, this can be resolved for
now.
> Possible regression from 0.13 -> 0.14 for MNIST LeNet script
> ------------------------------------------------------------
>
> Key: SYSTEMML-1566
> URL: https://issues.apache.org/jira/browse/SYSTEMML-1566
> Project: SystemML
> Issue Type: Bug
> Reporter: Mike Dusenberry
> Assignee: Mike Dusenberry
> Fix For: SystemML 1.0
>
> Attachments: explain.txt, stats.txt
>
>
> For the 0.14 release testing, I tried out the [MNIST LeNet example |
> https://github.com/apache/incubator-systemml/blob/master/scripts/nn/examples/mnist_lenet-train.dml]
> on both 0.13 and 0.14 and noticed a possible regression. Basically, on 0.14
> the script took longer to run and had 2513 Spark instructions executed, while
> on 0.13 only 864 Spark instructions were executed. This was run locally on a
> laptop using the 2 instructions at the top of the script (and copied below).
> I've also attached the stats and runtime explain logs.
> 1. Download data
> {code}
> nn/examples/get_mnist_data.sh
> {code}
> 2. Execute from the {{scripts}} directory.
> {code}
> spark-submit --master local[*] --driver-memory 10G --conf
> spark.driver.maxResultSize=0 --conf spark.rpc.message.maxSize=128
> SystemML.jar -f nn/examples/mnist_lenet-train.dml -stats -explain -nvargs
> train=nn/examples/data/mnist/mnist_train.csv
> test=nn/examples/data/mnist/mnist_test.csv C=1 Hin=28 Win=28 epochs=1
> out_dir=nn/examples/model/mnist_lenet
> {code}
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