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blas.jl
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blas.jl
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using LinearAlgebra.BLAS
@testset "BLAS" begin
let rng = MersenneTwister(123456)
for _ in 1:10
x, y, vx, vy = randn.(Ref(rng), [10, 6, 10, 6])
_dot = (x, y)->BLAS.dot(5, x, 2, y, 1)
@test check_errs(_dot, _dot(x, y), (x, y), (vx, vy))
end
end
let rng = MersenneTwister(123456)
for _ in 1:10
x, vx = randn(rng, 100), randn(rng, 100)
@test check_errs(nrm2, randn(rng), x, vx)
end
end
let rng = MersenneTwister(123456)
λ = x->nrm2(50, x, 2)
for _ in 1:10
x, vx = randn(rng, 100), randn(rng, 100)
@test check_errs(λ, randn(rng), x, vx)
end
end
let rng = MersenneTwister(123456)
λ = x->asum(50, x, 2)
for _ in 1:10
x, vx = randn(rng, 100), randn(rng, 100)
x .+= sign.(x)
@test check_errs(asum, randn(rng), x, vx)
@test check_errs(λ, randn(rng), x, vx)
end
end
# Test each of the four permutations of `gemm`.
let rng = MersenneTwister(123456), N = 100
for tA in ['T', 'N'], tB in ['T', 'N']
λ, γ = (α, A, B)->gemm(tA, tB, α, A, B), (A, B)->gemm(tA, tB, A, B)
for _ in 1:10
α, vα = randn.([rng, rng])
A, B, VA, VB = randn.(Ref(rng), [N, N, N, N], [N, N, N, N])
@test check_errs(λ, λ(α, A, B), (α, A, B), (vα, VA, VB))
@test check_errs(γ, γ(A, B), (A, B), (VA, VB))
end
end
end
# Test both permutations of `gemv`.
let rng = MersenneTwister(123456), N = 100
for tA in ['T', 'N']
λ, γ = (α, A, x)->gemv('T', α, A, x), (A, x)->gemv('T', A, x)
for _ in 1:10
α, vα = randn.([rng, rng])
A, VA = randn.(Ref(rng), [N, N], [N, N])
x, vx = randn.(Ref(rng), [N, N])
@test check_errs(λ, λ(α, A, x), (α, A, x), (vα, VA, vx))
@test check_errs(γ, γ(A, x), (A, x), (VA, vx))
end
end
end
# Test all four permutations of `symm`.
let rng = MersenneTwister(123456), N = 100
lmask, umask = Matrix(LowerTriangular(ones(N, N))), Matrix(UpperTriangular(ones(N, N)))
for side in ['L', 'R'], ul in ['L', 'U']
λ, γ = (α, A, B)->symm(side, ul, α, A, B), (A, B)->symm(side, ul, A, B)
for _ in 1:10
α, vα = randn.([rng, rng])
A, B, VA, VB = randn.(Ref(rng), [N, N, N, N], [N, N, N, N])
@test check_errs(λ, λ(α, A, B), (α, A, B), (vα, VA, VB))
@test check_errs(γ, γ(A, B), (A, B), (VA, VB))
end
end
end
let rng = MersenneTwister(123456), N = 100
for ul in ['L', 'U']
λ, γ = (α, A, x)->symv(ul, α, A, x), (A, x)->symv(ul, A, x)
for _ in 1:10
α, vα = randn.([rng, rng])
A, VA = randn.(Ref(rng), [N, N], [N, N])
x, vx = randn.(Ref(rng), [N, N])
@test check_errs(λ, λ(α, A, x), (α, A, x), (vα, VA, vx))
@test check_errs(γ, γ(A, x), (A, x), (VA, vx))
end
end
end
let rng = MersenneTwister(123456), N = 10
for side in ['L', 'R'], ul in ['L', 'U'], tA in ['N', 'T'], dA in ['U', 'N']
λ = (α, A, B)->trmm(side, ul, tA, dA, α, A, B)
for _ in 1:10
α, vα = randn.([rng, rng])
A, B, VA, VB = randn.(Ref(rng), [N, N, N, N], [N, N, N, N])
@test check_errs(λ, λ(α, A, B), (α, A, B), (vα, VA, VB))
end
end
end
let rng = MersenneTwister(123456), N = 10
for ul in ['L', 'U'], tA in ['N', 'T'], dA in ['U', 'N']
λ = (A, b)->trmv(ul, tA, dA, A, b)
for _ in 1:10
A, VA = randn.(Ref(rng), [N, N], [N, N])
b, vb = randn.(Ref(rng), [N, N])
@test check_errs(λ, λ(A, b), (A, b), (VA, vb))
end
end
end
let rng = MersenneTwister(123456), N = 10
for side in ['L', 'R'], ul in ['L', 'U'], tA in ['N', 'T'], dA in ['U', 'N']
λ = (α, A, X)->trsm(side, ul, tA, dA, α, A, X)
for _ in 1:10
α, vα = randn.([rng, rng])
A, X, VA, VX = randn.(Ref(rng), [N, N, N, N], [N, N, N, N])
A = randn(rng, N, N) + UniformScaling(3)
@test check_errs(λ, λ(α, A, X), (α, A, X), (vα, VA, VX))
end
end
end
let rng = MersenneTwister(123456), N = 10
for ul in ['L', 'U'], tA in ['N', 'T'], dA in ['U', 'N']
λ = (A, x)->trsv(ul, tA, dA, A, x)
for _ in 1:10
A = randn(rng, N, N) + UniformScaling(1)
A = A'A
VA = randn(rng, N, N)
x, vx = randn.(Ref(rng), [N, N])
@test check_errs(λ, λ(A, x), (A, x), (VA, vx))
end
end
end
end