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runtests.jl
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runtests.jl
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import InteractiveUtils
InteractiveUtils.versioninfo(stdout; verbose=true)
include("testsetup.jl")
@time @testset "VectorizationBase.jl" begin
# Write your own tests here.
# Aqua.test_all(VectorizationBase, ambiguities = VERSION < v"1.6-DEV")
println("Aqua.test_all")
@time Aqua.test_all(VectorizationBase)
# @test isempty(detect_unbound_args(VectorizationBase))
# @test isempty(detect_ambiguities(VectorizationBase))
W = Int(@inferred(VectorizationBase.pick_vector_width(Float64)))
@test @inferred(VectorizationBase.pick_integer(Val(W))) == (VectorizationBase.register_size() == VectorizationBase.simd_integer_register_size() ? Int64 : Int32)
@test first(A) === A[1]
@test W64S == W64
println("Struct-Wrapped Vec")
@time @testset "Struct-Wrapped Vec" begin
@test data(zero(Vec{4,Float64})) === (VE(0.0),VE(0.0),VE(0.0),VE(0.0)) === data(Vec{4,Float64}(0.0))
@test data(one(Vec{4,Float64})) === (VE(1.0),VE(1.0),VE(1.0),VE(1.0)) === data(Vec{4,Float64}(1.0)) === data(data(Vec{4,Float64}(1.0)))
v = Vec((VE(1.0),VE(2.0),VE(3.0),VE(4.0)))
@test v === Vec{4,Float64}(1, 2, 3, 4) === conj(v) === v' === Vec{4,Float64}(v)
@test length(v) == 4 == first(size(v))
@test eltype(v) == Float64
for i in 1:4
@test i == VectorizationBase.extractelement(v, i-1)
# @test i === Vec{4,Int}(v)[i] # should use fptosi (ie, vconvert defined in SIMDPirates).
end
@test zero(v) === zero(typeof(v))
@test one(v) === one(typeof(v))
# @test Vec{W32,Float32}(one(Vec{W32,Float64})) === Vec(one(Vec{W32,Float32})) === one(Vec{W32,Float32}) # conversions should be tested in SIMDPirates
@test Vec{1,Int}(1) === 1
vu = Vec(collect(1.0:16.0)...) + 2
@test vu(1,1) === vu.data[1](1)
@test vu(2,1) === vu.data[1](2)
@test vu(1,2) === vu.data[2](1)
@test vu(2,2) === vu.data[2](2)
if W64 == 8
@test vu.data[1] === Vec(3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0)
@test vu.data[2] === Vec(11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0)
elseif W64 == 4
@test vu.data[1] === Vec(3.0, 4.0, 5.0, 6.0)
@test vu.data[2] === Vec(7.0, 8.0, 9.0, 10.0)
@test vu.data[3] === Vec(11.0, 12.0, 13.0, 14.0)
@test vu.data[4] === Vec(15.0, 16.0, 17.0, 18.0)
@test Vec(1.2, 3.4, 3.4) === Vec(1.2, 3.4, 3.4, 0.0)
elseif W64 == 2
@test vu.data[1] === Vec(3.0, 4.0)
@test vu.data[2] === Vec(5.0, 6.0)
@test vu.data[3] === Vec(7.0, 8.0)
@test vu.data[4] === Vec(9.0, 10.0)
@test vu.data[5] === Vec(11.0, 12.0)
@test vu.data[6] === Vec(13.0, 14.0)
@test vu.data[7] === Vec(15.0, 16.0)
@test vu.data[8] === Vec(17.0, 18.0)
end
end
println("alignment.jl")
@time @testset "alignment.jl" begin
@test all(i -> VectorizationBase.align(i) == VectorizationBase.register_size(), 1:VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i) == 2VectorizationBase.register_size(), 1+VectorizationBase.register_size():2VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i) == 10VectorizationBase.register_size(), (1:VectorizationBase.register_size()) .+ 9VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(reinterpret(Ptr{Cvoid}, i)) == reinterpret(Ptr{Cvoid}, Int(VectorizationBase.register_size())), 1:VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(reinterpret(Ptr{Cvoid}, i)) == reinterpret(Ptr{Cvoid}, 2Int(VectorizationBase.register_size())), 1+VectorizationBase.register_size():2VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(reinterpret(Ptr{Cvoid}, i)) == reinterpret(Ptr{Cvoid}, 20Int(VectorizationBase.register_size())), (1:VectorizationBase.register_size()) .+ 19VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i,W32) == VectorizationBase.align(i,Float32) == VectorizationBase.align(i,Int32) == W32*cld(i,W32), 1:VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i,W32) == VectorizationBase.align(i,Float32) == VectorizationBase.align(i,Int32) == W32*cld(i,W32), 1+VectorizationBase.register_size():2VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i,W32) == VectorizationBase.align(i,Float32) == VectorizationBase.align(i,Int32) == W32*cld(i,W32), (1:VectorizationBase.register_size()) .+ 29VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i,W64) == VectorizationBase.align(i,Float64) == VectorizationBase.align(i,Int64) == W64*cld(i,W64), 1:VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i,W64) == VectorizationBase.align(i,Float64) == VectorizationBase.align(i,Int64) == W64*cld(i,W64), 1+VectorizationBase.register_size():2VectorizationBase.register_size())
@test all(i -> VectorizationBase.align(i,W64) == VectorizationBase.align(i,Float64) == VectorizationBase.align(i,Int64) == W64*cld(i,W64), (1:VectorizationBase.register_size()) .+ 29VectorizationBase.register_size())
@test reinterpret(Int, VectorizationBase.align(pointer(A))) % VectorizationBase.register_size() === 0
@test all(i -> VectorizationBase.aligntrunc(i) == 0, 0:VectorizationBase.register_size()-1)
@test all(i -> VectorizationBase.aligntrunc(i) == VectorizationBase.register_size(), VectorizationBase.register_size():2VectorizationBase.register_size()-1)
@test all(i -> VectorizationBase.aligntrunc(i) == 9VectorizationBase.register_size(), (0:VectorizationBase.register_size()-1) .+ 9VectorizationBase.register_size())
@test all(i -> VectorizationBase.aligntrunc(i,W32) == VectorizationBase.aligntrunc(i,Float32) == VectorizationBase.aligntrunc(i,Int32) == W32*div(i,W32), 1:VectorizationBase.register_size())
@test all(i -> VectorizationBase.aligntrunc(i,W32) == VectorizationBase.aligntrunc(i,Float32) == VectorizationBase.aligntrunc(i,Int32) == W32*div(i,W32), 1+VectorizationBase.register_size():2VectorizationBase.register_size())
@test all(i -> VectorizationBase.aligntrunc(i,W32) == VectorizationBase.aligntrunc(i,Float32) == VectorizationBase.aligntrunc(i,Int32) == W32*div(i,W32), (1:VectorizationBase.register_size()) .+ 29VectorizationBase.register_size())
@test all(i -> VectorizationBase.aligntrunc(i,W64) == VectorizationBase.aligntrunc(i,Float64) == VectorizationBase.aligntrunc(i,Int64) == W64*div(i,W64), 1:VectorizationBase.register_size())
@test all(i -> VectorizationBase.aligntrunc(i,W64) == VectorizationBase.aligntrunc(i,Float64) == VectorizationBase.aligntrunc(i,Int64) == W64*div(i,W64), 1+VectorizationBase.register_size():2VectorizationBase.register_size())
@test all(i -> VectorizationBase.aligntrunc(i,W64) == VectorizationBase.aligntrunc(i,Float64) == VectorizationBase.aligntrunc(i,Int64) == W64*div(i,W64), (1:VectorizationBase.register_size()) .+ 29VectorizationBase.register_size())
a = Vector{Float64}(undef, 0)
ptr = pointer(a)
@test UInt(VectorizationBase.align(ptr, 1 << 12)) % (1 << 12) == 0
end
println("masks.jl")
@time @testset "masks.jl" begin
# @test Mask{8,UInt8}(0x0f) === @inferred Mask(0x0f)
# @test Mask{16,UInt16}(0x0f0f) === @inferred Mask(0x0f0f)
@test Mask{8,UInt8}(0xff) === mask(Val(8), 0)
@test Mask{8,UInt8}(0xff) === mask(Val(8), 8)
@test Mask{8,UInt8}(0xff) === mask(Val(8), 16)
@test Mask{8,UInt8}(0xff) === mask(Val(8), VectorizationBase.StaticInt(0))
@test Mask{16,UInt16}(0xffff) === mask(Val(16), 0)
@test Mask{16,UInt16}(0xffff) === mask(Val(16), 16)
@test Mask{16,UInt16}(0xffff) === mask(Val(16), 32)
@test all(w -> VectorizationBase.mask_type(w) === UInt8, 1:8)
@test all(w -> VectorizationBase.mask_type(w) === UInt16, 9:16)
@test all(w -> VectorizationBase.mask_type(w) === UInt32, 17:32)
@test all(w -> VectorizationBase.mask_type(w) === UInt64, 33:64)
@test all(w -> VectorizationBase.mask_type(w) === UInt128, 65:128)
if VectorizationBase.register_size() == 64 # avx512
# @test VectorizationBase.mask_type(Float16) === UInt32
@test VectorizationBase.mask_type(Float32) === UInt16
@test VectorizationBase.mask_type(Float64) === UInt8
# @test VectorizationBase.max_mask(Float16) === 0xffffffff # 32
@test data(VectorizationBase.max_mask(Float32)) === 0xffff # 16
@test data(VectorizationBase.max_mask(Float64)) === 0xff # 8
elseif VectorizationBase.register_size() == 32 # avx or avx2
# @test VectorizationBase.mask_type(Float16) === UInt16
@test VectorizationBase.mask_type(Float32) === UInt8
@test VectorizationBase.mask_type(Float64) === UInt8
# @test VectorizationBase.max_mask(Float16) === 0xffff # 16
@test data(VectorizationBase.max_mask(Float32)) === 0xff # 8
@test data(VectorizationBase.max_mask(Float64)) === 0x0f # 4
elseif VectorizationBase.register_size() == 16 # sse
# @test VectorizationBase.mask_type(Float16) === UInt8
@test VectorizationBase.mask_type(Float32) === UInt8
@test VectorizationBase.mask_type(Float64) === UInt8
# @test VectorizationBase.max_mask(Float16) === 0xff # 8
@test data(VectorizationBase.max_mask(Float32)) === 0x0f # 4
@test data(VectorizationBase.max_mask(Float64)) === 0x03 # 2
end
@test all(w -> bitstring(VectorizationBase.mask(Val( 8), w)) == reduce(*, ( 8 - i < w ? "1" : "0" for i in 1:8 )), 1:8 )
@test all(w -> bitstring(VectorizationBase.mask(Val(16), w)) == reduce(*, (16 - i < w ? "1" : "0" for i in 1:16)), 1:16)
@test all(w -> VectorizationBase.mask(Float64, w) === VectorizationBase.mask(@inferred(VectorizationBase.pick_vector_width(Float64)), w), 1:W64)
@test VectorizationBase.vbroadcast(Val(8), true) === Vec(true, true, true, true, true, true, true, true)
@test !VectorizationBase.vall(Mask{8}(0xfc))
@test !VectorizationBase.vall(Mask{4}(0xfc))
@test VectorizationBase.vall(Mask{8}(0xff))
@test VectorizationBase.vall(Mask{4}(0xcf))
@test VectorizationBase.vany(Mask{8}(0xfc))
@test VectorizationBase.vany(Mask{4}(0xfc))
@test !VectorizationBase.vany(Mask{8}(0x00))
@test !VectorizationBase.vany(Mask{4}(0xf0))
@test VectorizationBase.vall(Mask{8}(0xfc) + Mask{8}(0xcf) == Vec(0x01,0x01,0x02,0x02,0x01,0x01,0x02,0x02))
@test VectorizationBase.vall(Mask{4}(0xfc) + Mask{4}(0xcf) == Vec(0x01,0x01,0x02,0x02))
@test VectorizationBase.vall(Mask{8}(0xec) != Mask{8}(0x13))
@test VectorizationBase.vall((!Mask{8}(0xac) & Mask{8}(0xac)) == Mask{8}(0x00))
@test !VectorizationBase.vany((!Mask{8}(0xac) & Mask{8}(0xac)))
@test VectorizationBase.vall((!Mask{8}(0xac) | Mask{8}(0xac)) == Mask{8}(0xff))
@test VectorizationBase.vall((!Mask{8}(0xac) | Mask{8}(0xac)))
@test VectorizationBase.vall(VectorizationBase.splitint(0xb53a5d6426a9d29d, Int8) == Vec{8,Int8}(-99, -46, -87, 38, 100, 93, 58, -75))
# other splitint tests for completeness sake
@test VectorizationBase.splitint(0xb53a5d6426a9d29d, Int64) === 0xb53a5d6426a9d29d
@test VectorizationBase.splitint(0xff, UInt16) === 0x00ff
@test !VectorizationBase.vany(
VectorizationBase.splitint(0x47766b9a9509d175acd77ff497236795, Int8) != Vec{16,Int8}(-107, 103, 35, -105, -12, 127, -41, -84, 117, -47, 9, -107, -102, 107, 118, 71)
)
@test (Mask{8}(0xac) | false) === Mask{8}(0xac)
@test (Mask{8}(0xac) | true) === Mask{8}(0xff)
@test (false | Mask{8}(0xac)) === Mask{8}(0xac)
@test (true | Mask{8}(0xac)) === Mask{8}(0xff)
@test (Mask{8}(0xac) & false) === Mask{8}(0x00)
@test (Mask{8}(0xac) & true) === Mask{8}(0xac)
@test (false & Mask{8}(0xac)) === Mask{8}(0x00)
@test (true & Mask{8}(0xac)) === Mask{8}(0xac)
@test (Mask{8}(0xac) ⊻ false) === Mask{8}(0xac)
@test (Mask{8}(0xac) ⊻ true) === Mask{8}(0x53)
@test (false ⊻ Mask{8}(0xac)) === Mask{8}(0xac)
@test (true ⊻ Mask{8}(0xac)) === Mask{8}(0x53)
@test (Mask{4}(0x05) | true) === Mask{4}(0x0f)
@test (Mask{4}(0x05) | false) === Mask{4}(0x05)
@test (true | Mask{4}(0x05)) === Mask{4}(0x0f)
@test (false | Mask{4}(0x05)) === Mask{4}(0x05)
for T ∈ [UInt8, UInt16, UInt32]
Ws = T === UInt8 ? [2,4,8] : [8sizeof(T)]
for W ∈ Ws
u1 = rand(T)
u2 = rand(T)
m = ~(typemax(T) << W)
@test (Mask{W}(u1) & Mask{W}(u2)) === Mask{W}( (u1 & u2) & m )
@test (Mask{W}(u1) | Mask{W}(u2)) === Mask{W}( (u1 | u2) & m )
@test (Mask{W}(u1) ⊻ Mask{W}(u2)) === Mask{W}( (u1 ⊻ u2) & m )
end
end
@test convert(Bool, Mask{8}(0xec)) === Vec(false,false,true,true,false,true,true,true) === VectorizationBase.ifelse(convert(Bool, Mask{8}(0xec)), vbroadcast(Val(8),true), vbroadcast(Val(8),false))
@test (MM{8}(2) ∈ 3:8) === Mask{8}(0x7e)
fbitvector1 = falses(20);
fbitvector2 = falses(20);
mu = VectorizationBase.VecUnroll((Mask{4}(0x0f),Mask{4}(0x0f)))
GC.@preserve fbitvector begin
vstore!(stridedpointer(fbitvector1), mu, (VectorizationBase.MM(StaticInt{8}(), 1),))
vstore!(stridedpointer(fbitvector2), mu, (VectorizationBase.MM(StaticInt{8}(), 1),), Mask{8}(0x7e))
end
@test all(fbitvector1[1:8])
@test !any(fbitvector1[9:end])
@test !fbitvector2[1]
@test all(fbitvector2[2:7])
@test !any(fbitvector2[8:end])
end
# @testset "number_vectors.jl" begin
# # eval(VectorizationBase.num_vector_load_expr(@__MODULE__, :(size(A)), 8)) # doesn't work?
# @test VectorizationBase.length_loads(A, Val(8)) == eval(VectorizationBase.num_vector_load_expr(@__MODULE__, :((() -> 13*17)()), 8)) == eval(VectorizationBase.num_vector_load_expr(@__MODULE__, 13*17, 8)) == divrem(length(A), 8)
# @test VectorizationBase.size_loads(A,1, Val(8)) == eval(VectorizationBase.num_vector_load_expr(@__MODULE__, :((() -> 13 )()), 8)) == eval(VectorizationBase.num_vector_load_expr(@__MODULE__, 13 , 8)) == divrem(size(A,1), 8)
# @test VectorizationBase.size_loads(A,2, Val(8)) == eval(VectorizationBase.num_vector_load_expr(@__MODULE__, :((() -> 17)()), 8)) == eval(VectorizationBase.num_vector_load_expr(@__MODULE__, 17, 8)) == divrem(size(A,2), 8)
# end
println("vector_width.jl")
@time @testset "vector_width.jl" begin
for T ∈ (Float32,Float64)
@test @inferred(VectorizationBase.pick_vector_width(T)) * @inferred(VectorizationBase.static_sizeof(T)) === @inferred(VectorizationBase.register_size(T)) === @inferred(VectorizationBase.register_size())
end
for T ∈ (Int8,Int16,Int32,Int64,UInt8,UInt16,UInt32,UInt64)
@test @inferred(VectorizationBase.pick_vector_width(T)) * @inferred(VectorizationBase.static_sizeof(T)) === @inferred(VectorizationBase.register_size(T)) === @inferred(VectorizationBase.simd_integer_register_size())
end
@test @inferred(VectorizationBase.pick_vector_width(Float64, Int32, Float64, Float32, Float64)) * VectorizationBase.static_sizeof(Float64) === @inferred(VectorizationBase.register_size())
@test @inferred(VectorizationBase.pick_vector_width(Float64, Int32)) * VectorizationBase.static_sizeof(Float64) === @inferred(VectorizationBase.register_size())
@test @inferred(VectorizationBase.pick_vector_width(Float32, Float32)) * VectorizationBase.static_sizeof(Float32) === @inferred(VectorizationBase.register_size())
@test @inferred(VectorizationBase.pick_vector_width(Float32, Int32)) * VectorizationBase.static_sizeof(Float32) === @inferred(VectorizationBase.simd_integer_register_size())
@test all(VectorizationBase._ispow2, 0:1)
@test all(i -> !any(VectorizationBase._ispow2, 1+(1 << (i-1)):(1 << i)-1 ) && VectorizationBase._ispow2(1 << i), 2:9)
@test all(i -> VectorizationBase.intlog2(1 << i) == i, 0:(Int == Int64 ? 53 : 30))
FTypes = (Float32, Float64)
Wv = ntuple(i -> @inferred(VectorizationBase.register_size()) >> (i+1), Val(2))
for (T, N) in zip(FTypes, Wv)
W = @inferred(VectorizationBase.pick_vector_width(T))
# @test Vec{Int(W),T} == VectorizationBase.pick_vector(W, T) == VectorizationBase.pick_vector(T)
@test W == @inferred(VectorizationBase.pick_vector_width(W, T))
@test W === @inferred(VectorizationBase.pick_vector_width(W, T)) == @inferred(VectorizationBase.pick_vector_width(T))
while true
W >>= VectorizationBase.One()
W == 0 && break
W2, Wshift2 = @inferred(VectorizationBase.pick_vector_width_shift(W, T))
@test W2 == VectorizationBase.One() << Wshift2 == @inferred(VectorizationBase.pick_vector_width(W, T)) == VectorizationBase.pick_vector_width(Val(Int(W)),T) == W
@test StaticInt(W) === VectorizationBase.pick_vector_width(Val(Int(W)), T) === VectorizationBase.pick_vector_width(W, T)
for n in W+1:2W
W3, Wshift3 = VectorizationBase.pick_vector_width_shift(StaticInt(n), T)
@test W2 << 1 == W3 == 1 << (Wshift2+1) == 1 << Wshift3 == VectorizationBase.pick_vector_width(StaticInt(n), T) == VectorizationBase.pick_vector_width(Val(n),T) == W << 1
# @test VectorizationBase.pick_vector(W, T) == VectorizationBase.pick_vector(W, T) == Vec{Int(W),T}
end
end
end
# @test VectorizationBase.nextpow2(0) == 1
@test all(i -> VectorizationBase.nextpow2(i) == i, 0:2)
for j in 1:10
l, u = (1<<j)+1, 1<<(j+1)
@test all(i -> VectorizationBase.nextpow2(i) == u, l:u)
end
end
println("Memory")
@time @testset "Memory" begin
C = rand(40,20,10) .> 0;
mtest = vload(stridedpointer(C), ((MM{16})(9), 2, 3));
v1 = C[9:24,2,3];
@test tovector(mtest) == v1
@test [vload(stridedpointer(C), (1+w, 2+w, 3)) for w ∈ 1:W64] == getindex.(Ref(C), 1 .+ (1:W64), 2 .+ (1:W64), 3)
vstore!(stridedpointer(C), !mtest, ((MM{16})(17), 3, 4))
@test .!v1 == C[17:32,3,4] == tovector(vload(stridedpointer(C), ((MM{16})(17), 3, 4)))
dims = (41,42,43) .* 3;
# dims = (41,42,43);
A = reshape(collect(Float64(0):Float64(prod(dims)-1)), dims);
P = PermutedDimsArray(A, (3,1,2));
O = OffsetArray(P, (-4, -2, -3));
indices = (
StaticInt{1}(), StaticInt{2}(), 2, MM{W64}(2), MM{W64,2}(3), MM{W64,-1}(W64+2), Vec(ntuple(i -> 2i + 1, Val(W64))...)#,
# VectorizationBase.LazyMulAdd{2,-1}(MM{W64}(3))#, VectorizationBase.LazyMulAdd{2,-2}(Vec(ntuple(i -> 2i + 1, Val(W64))...))
)
println("LazyMulAdd Loads/Stores")
@time @testset "LazyMulAdd Loads/Stores" begin
max_const = 2
for _i ∈ indices, _j ∈ indices, _k ∈ indices, im ∈ 1:max_const, jm ∈ 1:max_const, km ∈ 1:max_const, B ∈ (A, P, O)
i = @inferred(VectorizationBase.lazymul(StaticInt(im), _i))
j = @inferred(VectorizationBase.lazymul(StaticInt(jm), _j))
k = @inferred(VectorizationBase.lazymul(StaticInt(km), _k))
iv = tovector(i); jv = tovector(j); kv = tovector(k)
if B === C
off = 9 - iv[1] % 8
iv += off
i += off
end
# @show typeof(B), i, j, k (im, _i), (jm, _j), (km, _k)
x = getindex.(Ref(B), iv, jv, kv)
GC.@preserve B begin
# @show i,j,k, typeof(B)
v = @inferred(vload(stridedpointer(B), (i, j, k)))
end
@test x == tovector(v)
if length(x) > 1
m = Mask{W64}(rand(UInt8))
mv = tovector(m)
x .*= mv
GC.@preserve B begin
v = @inferred(vload(stridedpointer(B), (i, j, k), m))
end
@test x == tovector(v)
end
for store! ∈ (vstore!, VectorizationBase.vnoaliasstore!)
y = isone(length(x)) ? randn() : randnvec(length(x))
GC.@preserve B store!(stridedpointer(B), y, (i, j, k))
x = getindex.(Ref(B), iv, jv, kv)
# @show i, j, k typeof.((i, j, k)), store!, typeof(B) y
@test x == tovector(y)
if length(x) > 1
z = Vec(ntuple(_ -> Core.VecElement(randn()), length(x)))
GC.@preserve B store!(stridedpointer(B), z, (i, j, k), m)
y = getindex.(Ref(B), iv, jv, kv)
@test y == ifelse.(mv, tovector(z), x)
end
end
end
end
println("VecUnroll Loads/Stores")
@time @testset "VecUnroll Loads/Stores" begin
for AU ∈ 1:3, B ∈ (A, P, O), i ∈ (StaticInt(1),2,StaticInt(2)), j ∈ (StaticInt(1),3,StaticInt(3)), k ∈ (StaticInt(1),4,StaticInt(4))
for AV ∈ 1:3
v1 = randnvec(); v2 = randnvec(); v3 = randnvec();
GC.@preserve B begin
if AU == AV
vstore!(stridedpointer(B), VectorizationBase.VecUnroll((v1,v2,v3)), VectorizationBase.Unroll{AU,W64,3,AV,W64,zero(UInt)}((i, j, k)))
vu = @inferred(vload(stridedpointer(B), VectorizationBase.Unroll{AU,W64,3,AV,W64,zero(UInt)}((i, j, k))))
else
vstore!(stridedpointer(B), VectorizationBase.VecUnroll((v1,v2,v3)), VectorizationBase.Unroll{AU,1,3,AV,W64,zero(UInt)}((i, j, k)))
vu = @inferred(vload(stridedpointer(B), VectorizationBase.Unroll{AU,1,3,AV,W64,zero(UInt)}((i, j, k))))
end
end
@test v1 === vu.data[1]
@test v2 === vu.data[2]
@test v3 === vu.data[3]
ir = 0:(AV == 1 ? W64-1 : 0); jr = 0:(AV == 2 ? W64-1 : 0); kr = 0:(AV == 3 ? W64-1 : 0)
x1 = getindex.(Ref(B), i .+ ir, j .+ jr, k .+ kr)
if AU == 1
ir = ir .+ length(ir)
elseif AU == 2
jr = jr .+ length(jr)
elseif AU == 3
kr = kr .+ length(kr)
end
x2 = getindex.(Ref(B), i .+ ir, j .+ jr, k .+ kr)
if AU == 1
ir = ir .+ length(ir)
elseif AU == 2
jr = jr .+ length(jr)
elseif AU == 3
kr = kr .+ length(kr)
end
x3 = getindex.(Ref(B), i .+ ir, j .+ jr, k .+ kr)
@test x1 == tovector(vu.data[1])
@test x2 == tovector(vu.data[2])
@test x3 == tovector(vu.data[3])
end
v1 = randnvec(); v2 = randnvec(); v3 = randnvec(); v4 = randnvec(); v5 = randnvec()
GC.@preserve B begin
vstore!(VectorizationBase.vsum, stridedpointer(B), VectorizationBase.VecUnroll((v1,v2,v3,v4,v5)), VectorizationBase.Unroll{AU,1,5,0,1,zero(UInt)}((i, j, k)))
end
ir = 0:(AU == 1 ? 4 : 0); jr = 0:(AU == 2 ? 4 : 0); kr = 0:(AU == 3 ? 4 : 0)
xvs = getindex.(Ref(B), i .+ ir, j .+ jr, k .+ kr)
@test xvs ≈ map(VectorizationBase.vsum, [v1,v2,v3,v4,v5])
end
end
x = Vector{Int}(undef, 100);
i = MM{1}(0)
for j ∈ 1:25
vstore!(pointer(x), j, (i * VectorizationBase.static_sizeof(Int)))
i += 1
end
for j ∈ 26:50
vstore!(pointer(x), j, (VectorizationBase.static_sizeof(Int) * i), Mask{1}(0xff))
i += 1
end
for j ∈ 51:75
vstore!(pointer(x), j, VectorizationBase.lazymul(i, VectorizationBase.static_sizeof(Int)))
i += 1
end
for j ∈ 76:100
vstore!(pointer(x), j, VectorizationBase.lazymul(VectorizationBase.static_sizeof(Int), i), Mask{1}(0xff))
i += 1
end
@test x == 1:100
xf64 = rand(100);
vxtu = @inferred(vload(stridedpointer(xf64), (MM{4W64}(1),)));
@test vxtu isa VectorizationBase.VecUnroll
vxtutv = tovector(vxtu);
vxtutvmult = 3.5 .* vxtutv;
@inferred(vstore!(stridedpointer(xf64), 3.5 * vxtu, (MM{4W64}(1),)));
@test tovector(@inferred(vload(stridedpointer(xf64), (MM{4W64}(1),)))) == vxtutvmult
mbig = Mask{4W64}(rand(UInt32)); # TODO: update if any arches support >512 bit vectors
mbigtv = tovector(mbig);
@test tovector(@inferred(vload(stridedpointer(xf64), (MM{4W64}(1),), mbig))) == ifelse.(mbigtv, vxtutvmult, 0.0)
@inferred(vstore!(stridedpointer(xf64), -11 * vxtu, (MM{4W64}(1),), mbig));
@test tovector(@inferred(vload(stridedpointer(xf64), (MM{4W64}(1),)))) == ifelse.(mbigtv, -11 .* vxtutv, vxtutvmult)
colors = [(R = rand(), G = rand(), B = rand()) for i ∈ 1:100];
colormat = reinterpret(reshape, Float64, colors)
sp = stridedpointer(colormat)
GC.@preserve colors begin
@test tovector(@inferred(vload(sp, VectorizationBase.Unroll{1,1,3,2,8,zero(UInt)}((1,9))))) == vec(colormat[:,9:16]')
vu = @inferred(vload(sp, VectorizationBase.Unroll{1,1,3,2,8,zero(UInt)}((1,41))))
@inferred(vstore!(sp, vu, VectorizationBase.Unroll{1,1,3,2,8,zero(UInt)}((1,1))))
end
@test vec(colormat[:,41:48]) == vec(colormat[:,1:8])
end
println("Grouped Strided Pointers")
@time @testset "Grouped Strided Pointers" begin
M, K, N = 4, 5, 6
A = rand(M, K); B = rand(K, N); C = rand(M, N);
fs = [identity, adjoint]
for fA ∈ fs, fB ∈ fs, fC ∈ fs
At = fA === identity ? A : copy(A')'
Bt = fB === identity ? B : copy(B')'
Ct = fC === identity ? C : copy(C')'
gsp = @inferred(VectorizationBase.grouped_strided_pointer((At,Bt,Ct), Val{(((1,1),(3,1)),((1,2),(2,1)),((2,2),(3,2)))}()))
if fA === fC
@test sizeof(gsp.strides) == 2sizeof(Int)
end
@test sizeof(gsp.offsets) == 0
pA, pB, pC = @inferred(VectorizationBase.stridedpointers(gsp))
@test pA === stridedpointer(At)
@test pB === stridedpointer(Bt)
@test pC === stridedpointer(Ct)
end
end
println("Adjoint VecUnroll")
@time @testset "Adjoint VecUnroll" begin
W = W64
while W > 1
A = rand(W,W); B = similar(A);
GC.@preserve A B begin
vut = @inferred(vload(stridedpointer(A), VectorizationBase.Unroll{2,1,W,1,W}((1,1))))
vu = @inferred(VectorizationBase.transpose_vecunroll(vut))
@test vu === @inferred(vload(stridedpointer(A'), VectorizationBase.Unroll{2,1,W,1,W}((1,1))))
@test vu === @inferred(vload(stridedpointer(A), VectorizationBase.Unroll{1,1,W,2,W}((1,1))))
vstore!(stridedpointer(B), vu, VectorizationBase.Unroll{2,1,W,1,W}((1,1)))
end
@test A == B'
W >>= 1
end
W = 2W64
while W > 1
A = rand(Float32,W,W); B = similar(A);
GC.@preserve A B begin
vut = @inferred(vload(stridedpointer(A), VectorizationBase.Unroll{2,1,W,1,W}((1,1))))
vu = @inferred(VectorizationBase.transpose_vecunroll(vut))
@test vu === @inferred(vload(stridedpointer(A'), VectorizationBase.Unroll{2,1,W,1,W}((1,1))))
@test vu === @inferred(vload(stridedpointer(A), VectorizationBase.Unroll{1,1,W,2,W}((1,1))))
vstore!(stridedpointer(B), vu, VectorizationBase.Unroll{2,1,W,1,W}((1,1)))
end
@test A == B'
W >>= 1
end
end
println("Unary Functions")
@time @testset "Unary Functions" begin
for T ∈ (Float32,Float64)
v = let W = VectorizationBase.pick_vector_width(T)
VectorizationBase.VecUnroll((
Vec(ntuple(_ -> (randn(T)), W)...),
Vec(ntuple(_ -> (randn(T)), W)...),
Vec(ntuple(_ -> (randn(T)), W)...)
))
end
x = tovector(v)
for f ∈ [
-, abs, inv, floor, ceil, trunc, round, VectorizationBase.relu, abs2,
Base.FastMath.abs2_fast, Base.FastMath.sub_fast, sign
]
# @show T, f
@test tovector(@inferred(f(v))) == map(f, x)
end
# Don't require exact, but `eps(T)` seems like a reasonable `rtol`, at least on AVX512 systems:
# function relapprox(x::AbstractVector{T},y) where {T}
# t = max(norm(x),norm(y)) * eps(T)
# n = norm(x .- y)
# n / t
# end
# function randapprox(::Type{T}) where {T}
# x = Vec(ntuple(_ -> 10randn(T), VectorizationBase.pick_vector_width(T))...)
# via = @fastmath inv(x)
# vir = inv(x)
# relapprox(tovector(via), tovector(vir))
# end
# f32t = map(_ -> randapprox(Float32), 1:1_000_000);
# f64t = map(_ -> randapprox(Float64), 1:1_000_000);
# summarystats(f64t)
# summarystats(f32t)
# for now, I'll use `4eps(T)` if the systems don't have AVX512, but should check to set a stricter bound.
# also put `sqrt ∘ abs` in here
let rtol = eps(T) * (Bool(VectorizationBase.has_feature(Val(:x86_64_avx512f))) ? 1 : 4) # more accuracte
@test isapprox(tovector(@inferred(Base.FastMath.inv_fast(v))), map(Base.FastMath.inv_fast, x), rtol = rtol)
let f = sqrt ∘ abs
if T === Float32
@test isapprox(tovector(@inferred(f(v))), map(f, x), rtol = rtol)
elseif T === Float64 # exact with `Float64`
@test tovector(@inferred(f(v))) == map(f, x)
end
end
end
for f ∈ [floor, ceil, trunc, round]
@test tovector(@inferred(f(Int32, v))) == map(y -> f(Int32,y), x)
@test tovector(@inferred(f(Int64, v))) == map(y -> f(Int64,y), x)
end
invtol = Bool(VectorizationBase.has_feature(Val(:x86_64_avx512f))) ? 2^-14 : 1.5*2^-12 # moreaccurate with AVX512
@test isapprox(tovector(@inferred(VectorizationBase.inv_approx(v))), map(VectorizationBase.inv_approx, x), rtol = invtol)
end
int = Bool(VectorizationBase.has_feature(Val(:x86_64_avx512dq))) ? Int : Int32
int2 = Bool(VectorizationBase.has_feature(Val(:x86_64_avx2))) ? Int : Int32
vi = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> rand(int), Val(W64))...),
Vec(ntuple(_ -> rand(int), Val(W64))...),
Vec(ntuple(_ -> rand(int), Val(W64))...)
)) % int2
xi = tovector(vi)
for f ∈ [-, abs, inv, floor, ceil, trunc, round, sqrt ∘ abs, sign]
@test tovector(@inferred(f(vi))) == map(f, xi)
end
let rtol = eps(Float64) * (Bool(VectorizationBase.has_feature(Val(:x86_64_avx512f))) ? 1 : 4) # more accuracte
@test isapprox(tovector(@inferred(Base.FastMath.inv_fast(vi))), map(Base.FastMath.inv_fast, xi), rtol = rtol)
end
# vpos = VectorizationBase.VecUnroll((
# Vec(ntuple(_ -> Core.VecElement(rand()), Val(W64))),
# Vec(ntuple(_ -> Core.VecElement(rand()), Val(W64))),
# Vec(ntuple(_ -> Core.VecElement(rand()), Val(W64)))
# ))
# for f ∈ [sqrt]
# @test tovector(f(vpos)) == map(f, tovector(vpos))
# end
end
println("Binary Functions")
@time @testset "Binary Functions" begin
# TODO: finish getting these tests to pass
# for I1 ∈ (Int32,Int64,UInt32,UInt64), I2 ∈ (Int32,Int64,UInt32,UInt64)
let WI = Int(VectorizationBase.pick_vector_width(Int64))
for I1 ∈ (Int32,Int64), I2 ∈ (Int32,Int64,UInt32)
# TODO: No longer skip these either.
sizeof(I1) > sizeof(I2) && continue
vi1 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(rand(I1)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(I1)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(I1)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(I1)), Val(WI)))
))
srange = one(I2):(Bool(VectorizationBase.has_feature(Val(:x86_64_avx512dq))) ? I2(8sizeof(I1)-1) : I2(31))
vi2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(rand(srange)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(srange)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(srange)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(srange)), Val(WI)))
))
i = rand(srange); j = rand(I1);
m1 = VectorizationBase.VecUnroll((MM{WI}(I1(7)), MM{WI}(I1(1)), MM{WI}(I1(13)), MM{WI}(I1(32%last(srange)))));
m2 = VectorizationBase.VecUnroll((MM{WI,2}(I2(3)), MM{WI,2}(I2(8)), MM{WI,2}(I2(39%last(srange))), MM{WI,2}(I2(17))));
xi1 = tovector(vi1); xi2 = tovector(vi2);
xi3 = mapreduce(tovector, vcat, m1.data);
xi4 = mapreduce(tovector, vcat, m2.data);
I3 = promote_type(I1,I2);
# I4 = sizeof(I1) < sizeof(I2) ? I1 : (sizeof(I1) > sizeof(I2) ? I2 : I3)
for f ∈ [
+, -, *, ÷, /, %, <<, >>, >>>, ⊻, &, |, fld, mod,
VectorizationBase.rotate_left, VectorizationBase.rotate_right, copysign, maxi, mini, maxi_fast, mini_fast
]
# for f ∈ [+, -, *, div, ÷, /, rem, %, <<, >>, >>>, ⊻, &, |, fld, mod, VectorizationBase.rotate_left, VectorizationBase.rotate_right, copysign, max, min]
# @show f, I1, I2
# if (!Bool(VectorizationBase.has_feature(Val(:x86_64_avx512dq)))) && (f === /) && sizeof(I1) === sizeof(I2) === 8
# continue
# end
check_within_limits(tovector(@inferred(f(vi1, vi2))), trunc_int.(f.(size_trunc_int.(xi1, I3), size_trunc_int.(xi2, I3)), I3));
check_within_limits(tovector(@inferred(f(j, vi2))), trunc_int.(f.(size_trunc_int.(j, I3), size_trunc_int.(xi2, I3)), I3));
check_within_limits(tovector(@inferred(f(vi1, i))), trunc_int.(f.(size_trunc_int.(xi1, I3), size_trunc_int.(i, I3)), I3));
check_within_limits(tovector(@inferred(f(m1, i))), trunc_int.(f.(size_trunc_int.(xi3, I3), size_trunc_int.(i, I3)), I3));
check_within_limits(tovector(@inferred(f(m1, vi2))), trunc_int.(f.(size_trunc_int.(xi3, I3), size_trunc_int.(xi2, I3)), I3));
check_within_limits(tovector(@inferred(f(m1, m2))), trunc_int.(f.(size_trunc_int.(xi3, I3), size_trunc_int.(xi4, I3)), I3));
check_within_limits(tovector(@inferred(f(m1, m1))), trunc_int.(f.(size_trunc_int.(xi3, I1), size_trunc_int.(xi3, I1)), I1));
check_within_limits(tovector(@inferred(f(m2, i))), trunc_int.(f.(size_trunc_int.(xi4, I3), size_trunc_int.(i, I3)), I2));
check_within_limits(tovector(@inferred(f(m2, vi2))), trunc_int.(f.(size_trunc_int.(xi4, I3), size_trunc_int.(xi2, I3)), I2));
check_within_limits(tovector(@inferred(f(m2, m2))), trunc_int.(f.(size_trunc_int.(xi4, I3), size_trunc_int.(xi4, I3)), I2));
check_within_limits(tovector(@inferred(f(m2, m1))), trunc_int.(f.(size_trunc_int.(xi4, I3), size_trunc_int.(xi3, I3)), I3));
if !((f === VectorizationBase.rotate_left) || (f === VectorizationBase.rotate_right))
check_within_limits(tovector(@inferred(f(j, m1))), trunc_int.(f.(j, xi3), I1));
check_within_limits(tovector(@inferred(f(j, m2))), trunc_int.(f.(size_trunc_int.(j, I1), size_trunc_int.(xi4, I1)), I1));
end
end
@test tovector(@inferred(vi1 ^ i)) ≈ xi1 .^ i
@test @inferred(VectorizationBase.vall(@inferred(1 - MM{WI}(1)) == (1 - Vec(ntuple(identity, Val(WI))...)) ))
end
vf1 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(randn()), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(randn()), Val(WI)))
))
vf2 = Vec(ntuple(_ -> Core.VecElement(randn()), Val(WI)))
xf1 = tovector(vf1); xf2 = tovector(vf2); xf22 = vcat(xf2,xf2)
a = randn();
for f ∈ [+, -, *, /, %, max, min, copysign, rem, Base.FastMath.max_fast, Base.FastMath.min_fast, Base.FastMath.div_fast, Base.FastMath.rem_fast]
# @show f
@test tovector(@inferred(f(vf1, vf2))) ≈ f.(xf1, xf22)
@test tovector(@inferred(f(a, vf1))) ≈ f.(a, xf1)
@test tovector(@inferred(f(a, vf2))) ≈ f.(a, xf2)
@test tovector(@inferred(f(vf1, a))) ≈ f.(xf1, a)
@test tovector(@inferred(f(vf2, a))) ≈ f.(xf2, a)
end
vi2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(WI))),
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(WI)))
))
vones, vi2f, vtwos = promote(1.0, vi2, 2f0); # promotes a binary function, right? Even when used with three args?
@test vones === VectorizationBase.VecUnroll((vbroadcast(Val(WI), 1.0),vbroadcast(Val(WI), 1.0),vbroadcast(Val(WI), 1.0),vbroadcast(Val(WI), 1.0)));
@test vtwos === VectorizationBase.VecUnroll((vbroadcast(Val(WI), 2.0),vbroadcast(Val(WI), 2.0),vbroadcast(Val(WI), 2.0),vbroadcast(Val(WI), 2.0)));
@test VectorizationBase.vall(VectorizationBase.collapse_and(vi2f == vi2))
W32 = StaticInt(WI)*StaticInt(2)
vf2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(randn(Float32)), W32)),
Vec(ntuple(_ -> Core.VecElement(randn(Float32)), W32))
))
vones32, v2f32, vtwos32 = promote(1.0, vf2, 2f0); # promotes a binary function, right? Even when used with three args?
if Bool(VectorizationBase.has_feature(Val(:x86_64_avx2)))
@test vones32 === VectorizationBase.VecUnroll((vbroadcast(W32, 1f0),vbroadcast(W32, 1f0)))
@test vtwos32 === VectorizationBase.VecUnroll((vbroadcast(W32, 2f0),vbroadcast(W32, 2f0)))
@test vf2 === v2f32
else
@test vones32 === VectorizationBase.VecUnroll((vbroadcast(W32, 1.0),vbroadcast(W32, 1.0)))
@test vtwos32 === VectorizationBase.VecUnroll((vbroadcast(W32, 2.0),vbroadcast(W32, 2.0)))
@test convert(Float64, vf2) === v2f32
end
i = rand(1:31)
m1 = VectorizationBase.VecUnroll((MM{WI}(7), MM{WI}(1), MM{WI}(13), MM{WI}(18)))
@test tovector(clamp(m1, 2:i)) == clamp.(tovector(m1), 2, i)
@test tovector(mod(m1, 1:i)) == mod1.(tovector(m1), i)
@test VectorizationBase.vdivrem.(1:30, 1:30') == divrem.(1:30, 1:30')
@test VectorizationBase.vcld.(1:30, 1:30') == cld.(1:30, 1:30')
@test VectorizationBase.vrem.(1:30, 1:30') == rem.(1:30, 1:30')
end
end
println("Ternary Functions")
@time @testset "Ternary Functions" begin
for T ∈ (Float32, Float64)
v1, v2, v3, m = let W = @inferred(VectorizationBase.pick_vector_width(T))
v1 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> randn(T), W)...),
Vec(ntuple(_ -> randn(T), W)...)
))
v2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> randn(T), W)...),
Vec(ntuple(_ -> randn(T), W)...)
))
v3 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> randn(T), W)...),
Vec(ntuple(_ -> randn(T), W)...)
))
_W = Int(@inferred(VectorizationBase.pick_vector_width(T)))
m = VectorizationBase.VecUnroll((Mask{_W}(rand(UInt16)),Mask{_W}(rand(UInt16))))
v1, v2, v3, m
end
x1 = tovector(v1); x2 = tovector(v2); x3 = tovector(v3);
a = randn(T); b = randn(T)
a64 = Float64(a); b64 = Float64(b); # test promotion
mv = tovector(m)
for f ∈ [
muladd, fma, clamp, VectorizationBase.vmuladd_fast, VectorizationBase.vfma_fast,
VectorizationBase.vfmadd, VectorizationBase.vfnmadd, VectorizationBase.vfmsub, VectorizationBase.vfnmsub,
VectorizationBase.vfmadd_fast, VectorizationBase.vfnmadd_fast, VectorizationBase.vfmsub_fast, VectorizationBase.vfnmsub_fast,
VectorizationBase.vfmadd231, VectorizationBase.vfnmadd231, VectorizationBase.vfmsub231, VectorizationBase.vfnmsub231
]
@test tovector(@inferred(f(v1, v2, v3))) ≈ map(f, x1, x2, x3)
@test tovector(@inferred(f(v1, v2, a64))) ≈ f.(x1, x2, a)
@test tovector(@inferred(f(v1, a64, v3))) ≈ f.(x1, a, x3)
@test tovector(@inferred(f(a64, v2, v3))) ≈ f.(a, x2, x3)
@test tovector(@inferred(f(v1, a64, b64))) ≈ f.(x1, a, b)
@test tovector(@inferred(f(a64, v2, b64))) ≈ f.(a, x2, b)
@test tovector(@inferred(f(a64, b64, v3))) ≈ f.(a, b, x3)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, v1, v2, v3))) ≈ ifelse.(mv, f.(x1, x2, x3), x3)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, v1, v2, a64))) ≈ ifelse.(mv, f.(x1, x2, a), a)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, v1, a64, v3))) ≈ ifelse.(mv, f.(x1, a, x3), x3)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, a64, v2, v3))) ≈ ifelse.(mv, f.(a, x2, x3), x3)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, v1, a64, b64))) ≈ ifelse.(mv, f.(x1, a, b), b)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, a64, v2, b64))) ≈ ifelse.(mv, f.(a, x2, b), b)
@test tovector(@inferred(VectorizationBase.ifelse(f, m, a64, b64, v3))) ≈ ifelse.(mv, f.(a, b, x3), x3)
end
end
let WI = Int(VectorizationBase.pick_vector_width(Int64))
vi64 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> rand(Int64), Val(WI))...),
Vec(ntuple(_ -> rand(Int64), Val(WI))...),
Vec(ntuple(_ -> rand(Int64), Val(WI))...)
))
vi32 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> rand(Int32), Val(WI))...),
Vec(ntuple(_ -> rand(Int32), Val(WI))...),
Vec(ntuple(_ -> rand(Int32), Val(WI))...)
))
xi64 = tovector(vi64); xi32 = tovector(vi32);
@test tovector(@inferred(VectorizationBase.ifelse(vi64 > vi32, vi64, vi32))) == ifelse.(xi64 .> xi32, xi64, xi32)
@test tovector(@inferred(VectorizationBase.ifelse(vi64 < vi32, vi64, vi32))) == ifelse.(xi64 .< xi32, xi64, xi32)
@test tovector(@inferred(VectorizationBase.ifelse(true, vi64, vi32))) == ifelse.(true, xi64, xi32)
@test tovector(@inferred(VectorizationBase.ifelse(false, vi64, vi32))) == ifelse.(false, xi64, xi32)
vu64_1 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> rand(UInt64), Val(WI))...),
Vec(ntuple(_ -> rand(UInt64), Val(WI))...),
Vec(ntuple(_ -> rand(UInt64), Val(WI))...)
))
vu64_2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> rand(UInt64), Val(WI))...),
Vec(ntuple(_ -> rand(UInt64), Val(WI))...),
Vec(ntuple(_ -> rand(UInt64), Val(WI))...)
))
vu64_3 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> rand(UInt64), Val(WI))...),
Vec(ntuple(_ -> rand(UInt64), Val(WI))...),
Vec(ntuple(_ -> rand(UInt64), Val(WI))...)
))
xu1 = tovector(vu64_1); xu2 = tovector(vu64_2); xu3 = tovector(vu64_3);
for f ∈ [clamp, muladd, VectorizationBase.ifmalo, VectorizationBase.ifmahi, VectorizationBase.vfmadd, VectorizationBase.vfnmadd, VectorizationBase.vfmsub, VectorizationBase.vfnmsub]
@test tovector(@inferred(f(vu64_1,vu64_2,vu64_3))) == f.(xu1, xu2, xu3)
end
end
end
println("Special functions")
@time @testset "Special functions" begin
if VERSION ≥ v"1.6.0-DEV.674" && Bool(VectorizationBase.has_feature(Val(Symbol("x86_64_sse4.1"))))
erfs = [0.1124629160182849, 0.22270258921047847, 0.3286267594591274, 0.42839235504666845, 0.5204998778130465, 0.6038560908479259, 0.6778011938374184, 0.7421009647076605, 0.7969082124228322, 0.8427007929497149, 0.8802050695740817, 0.9103139782296353, 0.9340079449406524, 0.9522851197626487, 0.9661051464753108, 0.976348383344644, 0.9837904585907745, 0.9890905016357308, 0.9927904292352575, 0.9953222650189527, 0.997020533343667, 0.9981371537020182, 0.9988568234026434, 0.999311486103355, 0.999593047982555, 0.9997639655834707, 0.9998656672600594, 0.9999249868053346, 0.9999589021219005, 0.9999779095030014, 0.9999883513426328, 0.9999939742388483]
if Bool(VectorizationBase.has_feature(Val(:x86_64_avx512f)))
v = VectorizationBase.verf(Vec{8, Float64}(0.1:0.1:0.8...,))
@test [v(i) for i in 1:8] ≈ erfs[1:8]
v = VectorizationBase.verf(Vec{16, Float32}(0.1:0.1:1.6...,))
@test [v(i) for i in 1:16] ≈ erfs[1:16]
end
if Bool(VectorizationBase.has_feature(Val(:x86_64_avx)))
v = VectorizationBase.verf(Vec{4, Float64}(0.1:0.1:0.4...,))
@test [v(i) for i in 1:4] ≈ erfs[1:4]
v = VectorizationBase.verf(Vec{8, Float32}(0.1:0.1:0.8...,))
@test [v(i) for i in 1:8] ≈ erfs[1:8]
end
if Bool(VectorizationBase.has_feature(Val(Symbol("x86_64_sse4.1"))))
v = VectorizationBase.verf(Vec{2, Float64}(0.1:0.1:0.2...,))
@test [v(i) for i in 1:2] ≈ erfs[1:2]
end
end
end
println("Non-broadcasting operations")
@time @testset "Non-broadcasting operations" begin
v1 = Vec(ntuple(_ -> Core.VecElement(randn()), Val(W64))); vu1 = VectorizationBase.VecUnroll((v1, Vec(ntuple(_ -> Core.VecElement(randn()), Val(W64)))));
v2 = Vec(ntuple(_ -> Core.VecElement(rand(-100:100)), Val(W64))); vu2 = VectorizationBase.VecUnroll((v2, Vec(ntuple(_ -> Core.VecElement(rand(-100:100)), Val(W64)))));
@test @inferred(VectorizationBase.vsum(2.3, v1)) ≈ @inferred(VectorizationBase.vsum(v1)) + 2.3 ≈ @inferred(VectorizationBase.vsum(VectorizationBase.addscalar(v1, 2.3))) ≈ @inferred(VectorizationBase.vsum(VectorizationBase.addscalar(2.3, v1)))
@test @inferred(VectorizationBase.vsum(VectorizationBase.collapse_add(vu1))) + 2.3 ≈ @inferred(VectorizationBase.vsum(VectorizationBase.collapse_add(VectorizationBase.addscalar(vu1, 2.3)))) ≈ @inferred(VectorizationBase.vsum(VectorizationBase.collapse_add(VectorizationBase.addscalar(2.3, vu1))))
@test @inferred(VectorizationBase.vsum(v2)) + 3 == @inferred(VectorizationBase.vsum(VectorizationBase.addscalar(v2, 3))) == @inferred(VectorizationBase.vsum(VectorizationBase.addscalar(3, v2)))
@test @inferred(VectorizationBase.vsum(VectorizationBase.collapse_add(vu2))) + 3 == @inferred(VectorizationBase.vsum(VectorizationBase.collapse_add(VectorizationBase.addscalar(vu2, 3)))) == @inferred(VectorizationBase.vsum(VectorizationBase.collapse_add(VectorizationBase.addscalar(3, vu2))))
@test @inferred(VectorizationBase.vprod(v1)) * 2.3 ≈ @inferred(VectorizationBase.vprod(VectorizationBase.mulscalar(v1, 2.3))) ≈ @inferred(VectorizationBase.vprod(VectorizationBase.mulscalar(2.3, v1)))
@test @inferred(VectorizationBase.vprod(v2)) * 3 == @inferred(VectorizationBase.vprod(VectorizationBase.mulscalar(3, v2)))
@test @inferred(VectorizationBase.vall(v1 + v2 == VectorizationBase.addscalar(v1, v2)))
@test 4.0 == @inferred(VectorizationBase.addscalar(2.0, 2.0))
v3 = Vec(0, 1, 2, 3); vu3 = VectorizationBase.VecUnroll((v3, v3 - 1))
v4 = Vec(0.0, 1.0, 2.0, 3.0)
v5 = Vec(0f0, 1f0, 2f0, 3f0, 4f0, 5f0, 6f0, 7f0)
@test @inferred(VectorizationBase.vmaximum(v3)) === @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(v3, 2)))
@test @inferred(VectorizationBase.vmaximum(v3 % UInt)) === @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(v3 % UInt, 2 % UInt)))
@test @inferred(VectorizationBase.vmaximum(v4)) === @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(v4, prevfloat(3.0))))
@test @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(v4, nextfloat(3.0)))) == nextfloat(3.0)
@test @inferred(VectorizationBase.vmaximum(v5)) === @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(v5, prevfloat(7f0)))) === VectorizationBase.vmaximum(VectorizationBase.maxscalar(prevfloat(7f0), v5))
@test @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(v5, nextfloat(7f0)))) == @inferred(VectorizationBase.vmaximum(VectorizationBase.maxscalar(nextfloat(7f0), v5))) == nextfloat(7f0)
@test VectorizationBase.maxscalar(v3, 2) === Vec(2, 1, 2, 3)
@test VectorizationBase.maxscalar(v3, -1) === v3
@test VectorizationBase.vmaximum(VectorizationBase.maxscalar(v3 % UInt, -1 % UInt)) === -1 % UInt
@test VectorizationBase.maxscalar(v4, 1e-16) === Vec(1e-16, 1.0, 2.0, 3.0)
@test VectorizationBase.maxscalar(v4, -1e-16) === v4
@test VectorizationBase.vmaximum(VectorizationBase.collapse_max(vu3)) == 3
@test VectorizationBase.vmaximum(VectorizationBase.collapse_max(VectorizationBase.maxscalar(vu3,2))) == 3
@test VectorizationBase.vmaximum(VectorizationBase.collapse_max(VectorizationBase.maxscalar(vu3,4))) == 4
@test VectorizationBase.vminimum(VectorizationBase.collapse_min(vu3)) == -1
@test VectorizationBase.vminimum(VectorizationBase.collapse_min(VectorizationBase.minscalar(vu3,0))) == -1
@test VectorizationBase.vminimum(VectorizationBase.collapse_min(VectorizationBase.minscalar(vu3,-2))) == VectorizationBase.vminimum(VectorizationBase.collapse_min(VectorizationBase.minscalar(-2,vu3))) == -2
end
println("broadcasting")
@time @testset "broadcasting" begin
@test VectorizationBase.vzero(Val(1), UInt32) === VectorizationBase.vzero(StaticInt(1), UInt32) === VectorizationBase.vzero(UInt32) === zero(UInt32)
@test VectorizationBase.vzero(Val(1), Int) === VectorizationBase.vzero(StaticInt(1), Int) === VectorizationBase.vzero(Int) === 0
@test VectorizationBase.vzero(Val(1), Float32) === VectorizationBase.vzero(StaticInt(1), Float32) === VectorizationBase.vzero(Float32) === 0f0
@test VectorizationBase.vzero(Val(1), Float64) === VectorizationBase.vzero(StaticInt(1), Float64) === VectorizationBase.vzero(Float64) === 0.0
@test VectorizationBase.vzero() === VectorizationBase.vzero(W64S, Float64)
@test VectorizationBase.vbroadcast(StaticInt(2)*W64S, one(Int64)) === VectorizationBase.vbroadcast(StaticInt(2)*W64S, one(Int32))
@test VectorizationBase.vbroadcast(StaticInt(2)*W64S, one(UInt64)) === VectorizationBase.vbroadcast(StaticInt(2)*W64S, one(UInt32)) === one(VectorizationBase.Vec{2W64,UInt64}) === oneunit(VectorizationBase.Vec{2W64,UInt64})
@test VectorizationBase.vall(VectorizationBase.vbroadcast(W64S, pointer(A)) == vbroadcast(W64S, first(A)))
@test VectorizationBase.vbroadcast(W64S, pointer(A,2)) === Vec{W64}(A[2]) === Vec(A[2])
@test zero(VectorizationBase.VecUnroll((VectorizationBase.vbroadcast(W64S, pointer(A)), VectorizationBase.vbroadcast(W64S, pointer(A,2))))) === VectorizationBase.VecUnroll((VectorizationBase.vzero(W64S, Float64), VectorizationBase.vzero()))
@test VectorizationBase.VecUnroll{2,W64,Float64}(first(A)) === VectorizationBase.VecUnroll{2,W64,Float64}(VectorizationBase.vbroadcast(W64S, pointer(A))) === VectorizationBase.VecUnroll((VectorizationBase.vbroadcast(W64S, pointer(A)),VectorizationBase.vbroadcast(W64S, pointer(A)),VectorizationBase.vbroadcast(W64S, pointer(A)))) === VectorizationBase.VecUnroll{2}(VectorizationBase.vbroadcast(W64S, pointer(A)))
end
println("CartesianVIndex")
@time @testset "CartesianVIndex" begin
@test VectorizationBase.maybestaticfirst(CartesianIndices(A)) === VectorizationBase.CartesianVIndex(ntuple(_ -> VectorizationBase.One(), ndims(A)))
@test VectorizationBase.maybestaticlast(CartesianIndices(A)) === VectorizationBase.CartesianVIndex(size(A))
@test VectorizationBase.CartesianVIndex((StaticInt(1),2,VectorizationBase.CartesianVIndex((StaticInt(4), StaticInt(7))), CartesianIndex(12,14), StaticInt(2), 1)) === VectorizationBase.CartesianVIndex((StaticInt(1),2,StaticInt(4),StaticInt(7),12,14,StaticInt(2),1))
@test Tuple(VectorizationBase.CartesianVIndex((StaticInt(1),2,VectorizationBase.CartesianVIndex((StaticInt(4), StaticInt(7))), CartesianIndex(12,14), StaticInt(2), 1))) === (StaticInt(1),2,StaticInt(4),StaticInt(7),12,14,StaticInt(2),1)
@test length(VectorizationBase.CartesianVIndex((StaticInt(1),2,VectorizationBase.CartesianVIndex((StaticInt(4), StaticInt(7))), CartesianIndex(12,14), StaticInt(2), 1))) === 8
@test VectorizationBase.static_length(VectorizationBase.CartesianVIndex((StaticInt(1),2,VectorizationBase.CartesianVIndex((StaticInt(4), StaticInt(7))), CartesianIndex(12,14), StaticInt(2), 1))) === StaticInt{8}()
@test VectorizationBase.CartesianVIndex((StaticInt(-4), StaticInt(7))):VectorizationBase.CartesianVIndex((StaticInt(14), StaticInt(73))) === CartesianIndices((StaticInt(-4):StaticInt(14),StaticInt(7):StaticInt(73)))
@test VectorizationBase.maybestaticfirst(CartesianIndices(A)):VectorizationBase.maybestaticlast(CartesianIndices(A)) == CartesianIndices(A)
@test VectorizationBase.maybestaticfirst(CartesianIndices(A)):VectorizationBase.maybestaticlast(CartesianIndices(A)) === CartesianIndices(map(i -> VectorizationBase.One():i, size(A)))
end
println("Promotion")
@time @testset "Promotion" begin
vi2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(W64))),
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(W64))),
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(W64))),
Vec(ntuple(_ -> Core.VecElement(rand(1:M-1)), Val(W64)))
))
vones, vi2f, vtwos = @inferred(promote(1.0, vi2, 2f0)); # promotes a binary function, right? Even when used with three args?
@test vones === VectorizationBase.VecUnroll((vbroadcast(Val(W64), 1.0),vbroadcast(Val(W64), 1.0),vbroadcast(Val(W64), 1.0),vbroadcast(Val(W64), 1.0)));
@test vtwos === VectorizationBase.VecUnroll((vbroadcast(Val(W64), 2.0),vbroadcast(Val(W64), 2.0),vbroadcast(Val(W64), 2.0),vbroadcast(Val(W64), 2.0)));
@test @inferred(VectorizationBase.vall(VectorizationBase.collapse_and(vi2f == vi2)))
vf2 = VectorizationBase.VecUnroll((
Vec(ntuple(_ -> Core.VecElement(randn(Float32)), StaticInt(W32))),
Vec(ntuple(_ -> Core.VecElement(randn(Float32)), StaticInt(W32)))
))
vones32, v2f32, vtwos32 = @inferred(promote(1.0, vf2, 2f0)); # promotes a binary function, right? Even when used with three args?
@test vones32 === VectorizationBase.VecUnroll((vbroadcast(StaticInt(W32), 1f0),vbroadcast(StaticInt(W32), 1f0)))
@test vtwos32 === VectorizationBase.VecUnroll((vbroadcast(StaticInt(W32), 2f0),vbroadcast(StaticInt(W32), 2f0)))
@test vf2 === v2f32
vm = if Bool(VectorizationBase.has_feature(Val(:x86_64_avx512dq)))
VectorizationBase.VecUnroll((
MM{W64}(rand(Int)),MM{W64}(rand(Int)),MM{W64}(rand(Int)),MM{W64}(rand(Int))
))
else
VectorizationBase.VecUnroll((
MM{W64}(rand(Int32)),MM{W64}(rand(Int32)),MM{W64}(rand(Int32)),MM{W64}(rand(Int32))
))
end
@test tovector(@inferred(vm > vi2)) == (tovector(vm) .> tovector(vi2))
m = Mask{2W64}(rand(UInt));
v64f = Vec(ntuple(_ -> randn(), Val{2W64}())...)
v32i = Vec(ntuple(_ -> rand(Int32), Val{2W64}())...)
mtv = tovector(m); v64ftv = tovector(v64f); v32itv = tovector(v32i);
vum = @inferred(muladd(v64f, v32i, m))
@test vum isa VectorizationBase.VecUnroll
@test tovector(vum) ≈ muladd.(v64ftv, v32itv, mtv)
vum = @inferred(muladd(v64f, m, v32i))
@test vum isa VectorizationBase.VecUnroll
@test tovector(vum) ≈ muladd.(v64ftv, mtv, v32itv)
vum = @inferred(muladd(v32i, v64f, m))
@test vum isa VectorizationBase.VecUnroll
@test tovector(vum) ≈ muladd.(v32itv, v64ftv, mtv)
vum = @inferred(muladd(v32i, m, v64f))
@test vum isa VectorizationBase.VecUnroll
@test tovector(vum) ≈ muladd.(v32itv, mtv, v64ftv)
vum = @inferred(muladd(m, v64f, v32i))
@test vum isa VectorizationBase.VecUnroll
@test tovector(vum) ≈ muladd.(mtv, v64ftv, v32itv)
vum = @inferred(muladd(m, v32i, v64f))
@test vum isa VectorizationBase.VecUnroll
@test tovector(vum) ≈ muladd.(mtv, v32itv, v64ftv)
vx = convert(Vec{16,Int64}, 1)
@test typeof(vx) === typeof(zero(vx)) === Vec{16,Int64}
vxf32 = Vec(ntuple(_ -> randn(Float32), VectorizationBase.pick_vector_width(Float32))...)
xf32, yf32 = promote(vxf32, 1.0)
@test xf32 === vxf32
@test yf32 === vbroadcast(VectorizationBase.pick_vector_width(Float32), 1f0)
vxi32 = Vec(ntuple(_ -> rand(Int32), VectorizationBase.pick_vector_width(Int32))...)
xi32, yi32 = promote(vxi32, one(Int64))
@test xi32 === vxi32
@test yi32 === vbroadcast(VectorizationBase.pick_vector_width(Int32), one(Int32))
end
println("Lazymul")
@time @testset "Lazymul" begin
# partially covered in memory
for i ∈ (-5, -1, 0, 1, 4, 8), j ∈ (-5, -1, 0, 1, 4, 8)
@test @inferred(VectorizationBase.lazymul(StaticInt(i), StaticInt(j))) === StaticInt(i*j)
end
fi = VectorizationBase.LazyMulAdd{8,0}(MM{8}(StaticInt(16)))
si = VectorizationBase.LazyMulAdd{2}(240)
@test @inferred(VectorizationBase.vadd_fast(fi, si)) === VectorizationBase.LazyMulAdd{2,128}(MM{8,4}(240))
end
# TODO: Put something here.
# @time @testset "Arch Functions" begin
# @test VectorizationBase.dynamic_register_size() == @inferred(VectorizationBase.register_size()) == @inferred(VectorizationBase.register_size())
# @test VectorizationBase.dynamic_integer_register_size() == @inferred(VectorizationBase.simd_integer_register_size()) == @inferred(VectorizationBase.ssimd_integer_register_size())
# @test VectorizationBase.dynamic_register_count() == @inferred(VectorizationBase.register_count()) == @inferred(VectorizationBase.sregister_count())
# @test VectorizationBase.dynamic_fma_fast() == VectorizationBase.fma_fast()
# @test VectorizationBase.dynamic_has_opmask_registers() == VectorizationBase.has_opmask_registers()
# end
println("Static Zero and One")
@time @testset "Static Zero and One" begin
vx = randnvec(W64)
vu = VectorizationBase.VecUnroll((vx,randnvec(W64)))
vm = MM{16}(24);
for f ∈ [+,Base.FastMath.add_fast]
@test f(vx, VectorizationBase.Zero()) === f(VectorizationBase.Zero(), vx) === vx
@test f(vu, VectorizationBase.Zero()) === f(VectorizationBase.Zero(), vu) === vu
@test f(vm, VectorizationBase.Zero()) === f(VectorizationBase.Zero(), vm) === vm
end
for f ∈ [-,Base.FastMath.sub_fast]
@test f(vx, VectorizationBase.Zero()) === vx
@test f(VectorizationBase.Zero(), vx) === -vx
@test f(vu, VectorizationBase.Zero()) === vu
@test f(VectorizationBase.Zero(), vu) === -vu
@test f(vm, VectorizationBase.Zero()) === vm
@test f(VectorizationBase.Zero(), vm) === -vm
end
for f ∈ [*,Base.FastMath.mul_fast]
@test f(vx, VectorizationBase.Zero()) === f(VectorizationBase.Zero(), vx) === VectorizationBase.Zero()
@test f(vu, VectorizationBase.Zero()) === f(VectorizationBase.Zero(), vu) === VectorizationBase.Zero()
@test f(vm, VectorizationBase.Zero()) === f(VectorizationBase.Zero(), vm) === VectorizationBase.Zero()
@test f(vx, VectorizationBase.One()) === f(VectorizationBase.One(), vx) === vx
@test f(vu, VectorizationBase.One()) === f(VectorizationBase.One(), vu) === vu
@test f(vm, VectorizationBase.One()) === f(VectorizationBase.One(), vm) === vm
end
vnan = NaN * vx
for f ∈ [fma, muladd, VectorizationBase.vfma_fast, VectorizationBase.vmuladd_fast]
@test f(vnan, VectorizationBase.Zero(), vx) === vx
@test f(VectorizationBase.Zero(), vnan, vx) === vx
end
end
@inline function vlog(x1::VectorizationBase.AbstractSIMD{W,Float64}) where {W} # Testing if an assorted mix of operations
x2 = reinterpret(UInt64, x1)
x3 = x2 >>> 0x0000000000000020
greater_than_zero = x1 > zero(x1)
alternative = VectorizationBase.ifelse(x1 == zero(x1), -Inf, NaN)
isinf = x1 == Inf
x5 = x3 + 0x0000000000095f62
x6 = x5 >>> 0x0000000000000014
x7 = x6 - 0x00000000000003ff
x8 = convert(Float64, x7 % Int)
x9 = x5 << 0x0000000000000020
x10 = x9 & 0x000fffff00000000
x11 = x10 + 0x3fe6a09e00000000
x12 = x2 & 0x00000000ffffffff
x13 = x11 | x12
x14 = reinterpret(Float64, x13)
x15 = x14 - 1.0
x16 = x15 * x15
x17 = 0.5 * x16
x18 = x14 + 1.0
x19 = x15 / x18
x20 = x19 * x19
x21 = x20 * x20
x22 = vfmadd(x21, 0.15313837699209373, 0.22222198432149784)
x23 = vfmadd(x21, x22, 0.3999999999940942)
x24 = x23 * x21
x25 = vfmadd(x21, 0.14798198605116586, 0.1818357216161805)
x26 = vfmadd(x21, x25, 0.2857142874366239)
x27 = vfmadd(x21, x26, 0.6666666666666735)
x28 = x27 * x20
x29 = x24 + x17
x30 = x29 + x28
x31 = x8 * 1.9082149292705877e-10
x32 = vfmadd(x19, x30, x31)
x33 = x15 - x17