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@blueberry: can you point me at the right way to do convolutions 2d in jcuda? (I expect there to be a builtin but I am not finding it)
@blueberry: also, do you know of any efforts to bind the *.cu files from Tensorflow, PyTorch, or CuPY with JCuda? At the end of the day, there's no reason to rewrite hte .cu files, I just want a way to use them from Clojure, and the .cu/jcuda layer seems like a great place to intercept on.
@blueberry: libraries like tensorflow / pytorch / cupy provide, at some level, an accelerated nd-array + various ops on cuda
this "accelerated cuda nd-array + ops" seems like something that can be extracted, and then bound to via jcuda, and thenuseable via clojure