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https://issues.apache.org/jira/browse/APEXMALHAR-2260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16204841#comment-16204841
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Ananth commented on APEXMALHAR-2260:
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*Tensorflow integration with Keras* as the wrapper gave the following readings:
- 2012 Macbook Pro (2.6 GHz Intel Core i7 with 16GB RAM), No GPU was enabled
for either modelling or scoring
- The model was to perform MNIST digit recognition
- The source code for the modelling and the binary version of the model can be
located in the resources model
Result
"github.ananthc.sampleapps.apex.keras.KerasMnistJepBenchMark.testMNISTKerasWithTF":
*1694.491 ±(99.9%) 25.518 us/op [Average]*
(min, avg, max) = (1615.805, 1694.491, 2127.963), stdev = 108.046
CI (99.9%): [1668.973, 1720.009] (assumes normal distribution)
# Run complete. Total time: 00:08:31
Benchmark Mode Cnt Score Error Units
KerasMnistJepBenchMark.testMNISTKerasWithTF avgt 200 1694.491 ± 25.518 us/op
> Python execution for operator logic
> ------------------------------------
>
> Key: APEXMALHAR-2260
> URL: https://issues.apache.org/jira/browse/APEXMALHAR-2260
> Project: Apache Apex Malhar
> Issue Type: New Feature
> Reporter: Thomas Weise
> Assignee: Ananth
> Labels: roadmap
>
> Support execution of Python code in an operator.
> https://lists.apache.org/thread.html/9837b1dee8f909ed400c6030ce5c6a94a12f43183718019dd0bfd228@%3Cdev.apex.apache.org%3E
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