Training time comparisons/easy instrumentation


(Henry) #1

If you are like me, you might be wondering what training times others are observing? Is my tutorial/setup too slow? Perhaps my hardware is different than others.

What do you folks think of instrumenting our code simply like this? And we can compare using the lesson/groups names.

Please see this. Seems easy to include.
https://github.com/mlaicode/kerasTitanic

   mlinstrumentation.start()
   
   <my code>
   
   mlinstrumentation.stop()

Likely, we can also do this during inference/serving time. Thoughts/feedback?