Strange behaviour of @cuprintf?

Specific Domains GPU
1

I modified the example from the CUDAnative readme as follows. Am I using @cuprintf in the wrong way?

function kernel_vadd(a, b, c)
    i = (blockIdx().x-1) * blockDim().x + threadIdx().x
    @cuprintf("blockx= %d, blockDx=%d, threadid=%d\n",(blockIdx().x-1) , blockDim().x , threadIdx().x)
    c[i] = a[i] + b[i]

    return nothing
end

a = round.(rand(Float32, (3, 4)))
b = round.(rand(Float32, (3, 4)))
d_a = CuArray(a)
d_b = CuArray(b)
d_c = similar(d_a)  # output array

julia> @cuda threads=12 kernel_vadd(d_a, d_b, d_c)

julia> blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
blockx= 0, blockDx=0, threadid=12
2

https://github.com/JuliaGPU/CUDAnative.jl/issues/190

Need to fix the examples. Use %ld or %lld on Windows as formatting string.

3

cool. which examples do you mean? I just did %d because that’s how I would use it in fortran and elsewhere, not because I saw an old example. could PR.

4

Oh ok, I had thought you were looking at https://github.com/JuliaGPU/CUDAnative.jl/blob/master/examples/hello_world.jl where the formatting string is wrong for Windows platforms.