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Test KernelAbstractions launches by their behavior, not the launch kind #734

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maleadt merged 1 commit into from
Oct 25, 2026
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Test KernelAbstractions launches by their behavior, not the launch kind #734

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17 changes: 3 additions & 14 deletions test/kernelabstractions.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -34,17 +34,8 @@ end

@testset "launch configuration" begin
backend = oneAPIBackend()
function select(kernel, ndrange, workgroupsize=nothing)
ndrange, workgroupsize, iterspace, _ = KA.launch_config(kernel, ndrange, workgroupsize)
KA.select_launch(kernel, workgroupsize, iterspace)
end

# kernels are launched on an N-d grid, computing indices in 32 bits
# a dynamic N-d range is indexed without divisions
kernel = store_global_linear!(backend)
@test select(kernel, (64, 32, 16)) === KA.NDLaunch{Int32}()
@test select(kernel, (4, 4, 4, 4)) === KA.LinearLaunch{Int32}()

# which doesn't need divisions to compute the index of a dynamic N-d range
A = oneAPI.zeros(Int, 64, 32, 16)
ir = sprint(io -> oneAPI.@device_code_llvm io=io kernel(A; ndrange=size(A)))
@test !occursin(r"\b[us](div|rem) ", ir)
Expand All @@ -53,12 +44,10 @@ end
# tuning for more work-groups (the testsuite above uses the default)
Testsuite.launch_testsuite(()->oneAPIBackend(; prefer_blocks=true), oneArray)

# iteration spaces that don't fit 32 bits use 64-bit indices
# iteration spaces that don't fit 32-bit indices
kernel = store_last_index!(backend)
A = oneAPI.zeros(Int, 2)
for (dims, launch) in (((2^16 + 1, 2^15), KA.NDLaunch{Int}()),
((2^11 + 1, 2^10, 2^10, 1), KA.LinearLaunch{Int}()))
@test select(kernel, dims) === launch
for dims in ((2^16 + 1, 2^15), (2^11 + 1, 2^10, 2^9, 2), (1, 1, 1, 2^31 + 1))
kernel(A; ndrange=dims)
@test Array(A) == [prod(dims), dims[2]]
end
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