• Per =?UTF-8?B?Tm9yZGzDtnc=?= (14/14) Jun 12 2018 I just discovered
• jmh530 (7/21) Jun 12 2018 Looks interesting, though it seems the author has only just

Per =?UTF-8?B?Tm9yZGzDtnc=?= <per.nordlow gmail.com> writes:

I just discovered

https://github.com/ShigekiKarita/grain

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

https://github.com/ShigekiKarita/grain/tree/master/example

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

jmh530 <john.michael.hall gmail.com> writes:

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

 https://github.com/ShigekiKarita/grain

 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

 https://github.com/ShigekiKarita/grain/tree/master/example

 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.