On Tuesday, 12 June 2018 at 11:10:30 UTC, Per Nordlöw wrote:
I just discovered


which seems like a very ambitious and active project for making dynamic neural networks run on the GPU using D in front of mir and CUDA.

Are there any long-term goals around this project except for the title?

It would great if someone (author) could write a little background-knowledge (tutorial) around the subject of dynamic neural networks that assists all the details in the examples at


Further, could parts of grain be refactored out into some generic CUDA-library for use in domains other than dynamic neural networks?

Looks interesting, though it seems the author has only just recently tagged the first two releases (3-4 days ago). That doesn't mean that I don't agree with your suggestions (more examples/tutorials, separate GPU & autograd/NN library), just maybe the author has been more focused on basic functionality for now.

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