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I'm also working on a Tensorflow Kotlin idiomatic wrapper. Tensorflow is porting gradients to the C++ core so they are becoming available on other languages, making it posible to define the computation graph with a DSL and execute the training all in Kotlin. I'll be sharing that soon as well.

I am very interested to see how you approach C++ interop.

I'm just wrapping around Tensorflow's Java API. It is effectively using GPU, in some cases it works just by adding the gradle gpu dependency, on others you have to compile Tensorflow for Java.

In any case, it will be very interesting to see the result. We have some tasks for this. Probably they will force us to use C++, but it is interesting to have other choices.