Many thanks.
Does it mean that only a constant index is allowed? The following example does not work either.
function pass_func_array2(x::Float32, order::CuArray, fs)
for i in order
x = fs[i](x)
@cuprintln("x = $x")
end
nothing
end
@cuda pass_func_array2(3.14f0, CuArray([1, 2, 1]), (CUDA.sin, CUDA.cos))
The order
above actually encodes an expression tree, where each integer represents an operation, and I try to execute this tree on GPU. I don’t think it is proper to turn order
into a tuple of functions directly since it may be very long (tens or hundreds). Is there any workaround to do what I want in CUDA.jl for now?