That is so helpful! Thanks so much @chris441!
Would you please do a docs treatment on libpython-clj
as well?
libpython-clj is a bit harder as some of the namespaces are based directly off of python modules and requiring them will fail if a loadable python or numpy aren't installed. I will look into it a bit and see what happens.
Ah... interesting.
One specific question: How do you handle named args to function calls with libpython-clj
?
Thanks again!
You can do (py/call-kw f [] {:foo "bar"})
(the vector is for positional args)
Perfect! That's what I was looking for! Thanks!
how do you guys share models across AI applications? i have dockerized applications that i need to scale, and i was hoping for a solution without the network layer. if possible, maybe a way to shared loaded gpu models