@Qqwy
I was simply curious to the possibility of doing this. But I see now that yes this can just be avoided. You shouldn’t need to have python process blocking since if you are going to need another language that doesn’t support the same concurrency model, forcing it to would be illogical.
I just had this crazy idea to have python processes create models and that you could have nodes of python scripts that only worked on a single model and if you wanted to add classifiers and create a larger neural network that could be dynamic. Something like this,
tensorflow playground where each column’s python scripts would not start to run till all of the previous columns finished. But that means it is synchronous anyways. So I was wrong to think I needed the ability to run multiple concurrent processes that needed to block one another.
