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Hello, I've encountered the error described in the title and would like to report it.
To reproduce, please run following code with julia --check-bonds=no
using CUDA
using KernelAbstractions
N = 16
x = CUDA.ones(N)
y = CUDA.zeros(N)
@kernel function test!(y, @Const(x))
I = @index(Global, Cartesian)
y[I] = x[I]
end
test!(CUDABackend(), N)(y, x; ndrange=N)
KernelAbstractions.synchronize(CUDABackend())
Hello, I've encountered the error described in the title and would like to report it.
To reproduce, please run following code with
julia --check-bonds=no
Error message is
versioninfo
CUDA.jl versioninfo
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