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| 1 | +using Base.Test, GPUArrays |
| 2 | +using GPUArrays: mapidx, gpu_sub2ind |
| 3 | +using GPUArrays.TestSuite |
| 4 | + |
| 5 | +function cartesian_iter(state, A, res, Asize) |
| 6 | + for i in CartesianRange(CartesianIndex(Asize)) |
| 7 | + idx = gpu_sub2ind(Asize, i.I) |
| 8 | + res[idx] = A[idx] |
| 9 | + end |
| 10 | + return |
| 11 | +end |
| 12 | + |
| 13 | +function clmap!(state, f, out, b) |
| 14 | + i = linear_index(state) # get the kernel index it gets scheduled on |
| 15 | + out[i] = f(b[i]) |
| 16 | + return |
| 17 | +end |
| 18 | + |
| 19 | +function ntuple_test(state, result, ::Val{N}) where N |
| 20 | + result[1] = ntuple(Val{N}) do i |
| 21 | + Float32(i) * 77f0 |
| 22 | + end |
| 23 | + return |
| 24 | +end |
| 25 | + |
| 26 | +function ntuple_closure(state, result, ::Val{N}, testval) where N |
| 27 | + result[1] = ntuple(Val{N}) do i |
| 28 | + Float32(i) * testval |
| 29 | + end |
| 30 | + return |
| 31 | +end |
| 32 | + |
| 33 | +function run_base(Typ) |
| 34 | + @testset "base functionality" begin |
| 35 | + @testset "mapidx" begin |
| 36 | + a = rand(Complex64, 77) |
| 37 | + b = rand(Complex64, 77) |
| 38 | + A = Typ(a) |
| 39 | + B = Typ(b) |
| 40 | + off = Cuint(1) |
| 41 | + mapidx(A, (B, off, Cuint(length(A)))) do i, a, b, off, len |
| 42 | + x = b[i] |
| 43 | + x2 = b[min(i+off, len)] |
| 44 | + a[i] = x * x2 |
| 45 | + end |
| 46 | + foreach(1:length(a)) do i |
| 47 | + x = b[i] |
| 48 | + x2 = b[min(i+off, length(a))] |
| 49 | + a[i] = x * x2 |
| 50 | + end |
| 51 | + @test Array(A) ≈ a |
| 52 | + end |
| 53 | + |
| 54 | + @testset "muladd & abs" begin |
| 55 | + a = rand(Float32, 32) - 0.5f0 |
| 56 | + A = Typ(a) |
| 57 | + x = abs.(A) |
| 58 | + @test Array(x) == abs.(a) |
| 59 | + y = muladd.(A, 2f0, x) |
| 60 | + @test Array(y) == muladd(a, 2f0, abs.(a)) |
| 61 | + end |
| 62 | + |
| 63 | + @testset "copy!" begin |
| 64 | + x = zeros(Float32, 10, 10) |
| 65 | + y = rand(Float32, 20, 10) |
| 66 | + a = Typ(x) |
| 67 | + b = Typ(y) |
| 68 | + r1 = CartesianRange(CartesianIndex(1, 3), CartesianIndex(7, 8)) |
| 69 | + r2 = CartesianRange(CartesianIndex(4, 3), CartesianIndex(10, 8)) |
| 70 | + copy!(x, r1, y, r2) |
| 71 | + copy!(a, r1, b, r2) |
| 72 | + @test x == Array(a) |
| 73 | + |
| 74 | + x2 = zeros(Float32, 10, 10) |
| 75 | + copy!(x2, r1, b, r2) |
| 76 | + @test x2 == x |
| 77 | + |
| 78 | + fill!(a, 0f0) |
| 79 | + copy!(a, r1, y, r2) |
| 80 | + @test Array(a) == x |
| 81 | + end |
| 82 | + |
| 83 | + @testset "vcat + hcat" begin |
| 84 | + x = zeros(Float32, 10, 10) |
| 85 | + y = rand(Float32, 20, 10) |
| 86 | + a = Typ(x) |
| 87 | + b = Typ(y) |
| 88 | + @test vcat(x, y) == Array(vcat(a, b)) |
| 89 | + z = rand(Float32, 10, 10) |
| 90 | + c = Typ(z) |
| 91 | + @test hcat(x, z) == Array(hcat(a, c)) |
| 92 | + |
| 93 | + against_base(hcat, Typ{Float32}, (3, 3), (3, 3)) |
| 94 | + against_base(vcat, Typ{Float32}, (3, 3), (3, 3)) |
| 95 | + end |
| 96 | + |
| 97 | + @testset "reinterpret" begin |
| 98 | + a = rand(Complex64, 22) |
| 99 | + A = Typ(a) |
| 100 | + af0 = reinterpret(Float32, a) |
| 101 | + Af0 = reinterpret(Float32, A) |
| 102 | + @test Array(Af0) == af0 |
| 103 | + |
| 104 | + a = rand(Complex64, 10 * 10) |
| 105 | + A = Typ(a) |
| 106 | + af0 = reinterpret(Float32, a, (20, 10)) |
| 107 | + Af0 = reinterpret(Float32, A, (20, 10)) |
| 108 | + @test Array(Af0) == af0 |
| 109 | + end |
| 110 | + |
| 111 | + @testset "ntuple test" begin |
| 112 | + result = Typ(Vector{NTuple{3, Float32}}(1)) |
| 113 | + gpu_call(ntuple_test, result, (result, Val{3}())) |
| 114 | + @test result[1] == (77, 2*77, 3*77) |
| 115 | + x = 88f0 |
| 116 | + gpu_call(ntuple_closure, result, (result, Val{3}(), x)) |
| 117 | + @test result[1] == (x, 2*x, 3*x) |
| 118 | + end |
| 119 | + |
| 120 | + @testset "cartesian iteration" begin |
| 121 | + Ac = rand(Float32, 32, 32) |
| 122 | + A = Typ(Ac) |
| 123 | + result = zeros(A) |
| 124 | + gpu_call(cartesian_iter, result, (A, result, size(A))) |
| 125 | + Array(result) == Ac |
| 126 | + end |
| 127 | + |
| 128 | + @testset "Custom kernel from Julia function" begin |
| 129 | + x = Typ(rand(Float32, 100)) |
| 130 | + y = Typ(rand(Float32, 100)) |
| 131 | + gpu_call(clmap!, x, (sin, x, y)) |
| 132 | + jy = Array(y) |
| 133 | + @test map!(sin, jy, jy) ≈ Array(x) |
| 134 | + end |
| 135 | + T = Typ{Float32} |
| 136 | + @testset "map" begin |
| 137 | + against_base((a, b)-> map(+, a, b), T, (10,), (10,)) |
| 138 | + against_base((a, b)-> map!(-, a, b), T, (10,), (10,)) |
| 139 | + against_base((a, b, c, d)-> map!(*, a, b, c, d), T, (10,), (10,), (10,), (10,)) |
| 140 | + end |
| 141 | + end |
| 142 | +end |
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