通过CuArrays.jl的 tutorials学习julia GPU运算时，运行tutorial上的例子报错，代码如下：
using CuArrays
x_d = CuArrays.fill(1.0f0, N) # a vector stored on the GPU filled with 1.0 (Float32)
y_d = CuArrays.fill(2.0f0, N) # a vector stored on the GPU filled with 2.0
using CUDAnative
function gpu_add1!(y, x)
for i = 1:length(y)
@inbounds y[i] += x[i]
end
return nothing
end
fill!(y_d, 2)
@cuda gpu_add1!(y_d, x_d)
运行完@cuda gpu_add1!(y_d, x_d)报错信息为：
ERROR: GPU compilation of gpu_add1!(Array{Float32,1}, Array{Float32,1}) failed
KernelError: passing and using non-bitstype argument
Argument 2 to your kernel function is of type Array{Float32,1}.
That type is not isbits, and such arguments are only allowed when they are unused by the kernel.
删掉@cuda不会报错，Julia版本为1.1.1，库版本分别为CUDAnative v2.0.1和CuArrays v1.0.1，CUDA版本为10.1，在Ubuntu18.04下和win10下运行都会有这种报错。
谢谢好心人！