# This works
out = CuArray(rand(2, 100))
p_ = CuArray(p)
t = CuArray(rand(100))
du = similar(out)
NeuralPDE.gpu_broadcast(prob_oop.f, du, out, p_, t; workgroupsize = 64, ndrange = 100)
du
@ChrisRackauckas, I am not familiar on how to interpret this 😅, it says try-catch is not supported but there is no try catch, am I missing anything?
Added a custom broadcast function for GPU with KA.jl. But it gives me an error while running solve.
MWE:
gives me an error:
Broadcasting function works:
@ChrisRackauckas, I am not familiar on how to interpret this 😅, it says try-catch is not supported but there is no try catch, am I missing anything?