Anyone successfully run native tensorflow on Spark ? i tested example at 
https://github.com/tensorflow/ecosystem/tree/master/spark/spark-tensorflow-distributor
  on Kubernetes CPU . By running in on multiple workers CPUs. I do not see any 
speed up in training time by setting number of slot from1 to 10. The time taken 
to train is still the same. Anyone tested tensorflow training on Spark 
distributed workers with CPUs ?  Can share your working example?

 



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