|
1 | | -@testitem "Solving on GPUs" tags=[:cuda] skip=:(using CUDA; !CUDA.functional()) begin |
| 1 | +@testitem "Solving on GPUs" tags=[:cuda] begin |
2 | 2 | using StaticArrays, CUDA |
3 | 3 |
|
4 | | - CUDA.allowscalar(false) |
| 4 | + if CUDA.functional() |
| 5 | + CUDA.allowscalar(false) |
5 | 6 |
|
6 | | - f(u, p) = u .* u .- 2 |
7 | | - f!(du, u, p) = du .= u .* u .- 2 |
| 7 | + f(u, p) = u .* u .- 2 |
| 8 | + f!(du, u, p) = du .= u .* u .- 2 |
8 | 9 |
|
9 | | - @testset "$(nameof(typeof(alg)))" for alg in ( |
10 | | - SimpleNewtonRaphson(), SimpleDFSane(), SimpleTrustRegion(), |
11 | | - SimpleTrustRegion(; nlsolve_update_rule = Val(true)), |
12 | | - SimpleBroyden(), SimpleLimitedMemoryBroyden(), SimpleKlement(), |
13 | | - SimpleHalley(), SimpleBroyden(; linesearch = Val(true)), |
14 | | - SimpleLimitedMemoryBroyden(; linesearch = Val(true))) |
15 | | - # Static Arrays |
16 | | - u0 = @SVector[1.0f0, 1.0f0] |
17 | | - probN = NonlinearProblem{false}(f, u0) |
18 | | - sol = solve(probN, alg; abstol = 1.0f-6) |
19 | | - @test SciMLBase.successful_retcode(sol) |
20 | | - @test maximum(abs, sol.resid) ≤ 1.0f-6 |
21 | | - |
22 | | - # Regular Arrays |
23 | | - u0 = [1.0, 1.0] |
24 | | - probN = NonlinearProblem{false}(f, u0) |
25 | | - sol = solve(probN, alg; abstol = 1.0f-6) |
26 | | - @test SciMLBase.successful_retcode(sol) |
27 | | - @test maximum(abs, sol.resid) ≤ 1.0f-6 |
| 10 | + @testset "$(nameof(typeof(alg)))" for alg in ( |
| 11 | + SimpleNewtonRaphson(), SimpleDFSane(), SimpleTrustRegion(), |
| 12 | + SimpleTrustRegion(; nlsolve_update_rule = Val(true)), |
| 13 | + SimpleBroyden(), SimpleLimitedMemoryBroyden(), SimpleKlement(), |
| 14 | + SimpleHalley(), SimpleBroyden(; linesearch = Val(true)), |
| 15 | + SimpleLimitedMemoryBroyden(; linesearch = Val(true))) |
| 16 | + # Static Arrays |
| 17 | + u0 = @SVector[1.0f0, 1.0f0] |
| 18 | + probN = NonlinearProblem{false}(f, u0) |
| 19 | + sol = solve(probN, alg; abstol = 1.0f-6) |
| 20 | + @test SciMLBase.successful_retcode(sol) |
| 21 | + @test maximum(abs, sol.resid) ≤ 1.0f-6 |
28 | 22 |
|
29 | | - # Regular Arrays Inplace |
30 | | - if !(alg isa SimpleHalley) |
| 23 | + # Regular Arrays |
31 | 24 | u0 = [1.0, 1.0] |
32 | | - probN = NonlinearProblem{true}(f!, u0) |
| 25 | + probN = NonlinearProblem{false}(f, u0) |
33 | 26 | sol = solve(probN, alg; abstol = 1.0f-6) |
34 | 27 | @test SciMLBase.successful_retcode(sol) |
35 | 28 | @test maximum(abs, sol.resid) ≤ 1.0f-6 |
| 29 | + |
| 30 | + # Regular Arrays Inplace |
| 31 | + if !(alg isa SimpleHalley) |
| 32 | + u0 = [1.0, 1.0] |
| 33 | + probN = NonlinearProblem{true}(f!, u0) |
| 34 | + sol = solve(probN, alg; abstol = 1.0f-6) |
| 35 | + @test SciMLBase.successful_retcode(sol) |
| 36 | + @test maximum(abs, sol.resid) ≤ 1.0f-6 |
| 37 | + end |
36 | 38 | end |
37 | 39 | end |
38 | 40 | end |
39 | 41 |
|
40 | | -@testitem "CUDA Kernel Launch Test" tags=[:cuda] skip=:(using CUDA; !CUDA.functional()) timeout=3600 begin |
| 42 | +@testitem "CUDA Kernel Launch Test" tags=[:cuda] begin |
41 | 43 | using StaticArrays, CUDA |
42 | 44 |
|
43 | | - CUDA.allowscalar(false) |
| 45 | + if CUDA.functional() |
| 46 | + CUDA.allowscalar(false) |
44 | 47 |
|
45 | | - f(u, p) = u .* u .- 2 |
46 | | - f!(du, u, p) = du .= u .* u .- 2 |
| 48 | + f(u, p) = u .* u .- 2 |
| 49 | + f!(du, u, p) = du .= u .* u .- 2 |
47 | 50 |
|
48 | | - function kernel_function(prob, alg) |
49 | | - solve(prob, alg) |
50 | | - return nothing |
51 | | - end |
| 51 | + function kernel_function(prob, alg) |
| 52 | + solve(prob, alg) |
| 53 | + return nothing |
| 54 | + end |
52 | 55 |
|
53 | | - prob = NonlinearProblem{false}(f, @SVector[1.0f0, 1.0f0]) |
54 | | - prob = convert(SimpleNonlinearSolve.ImmutableNonlinearProblem, prob) |
| 56 | + prob = NonlinearProblem{false}(f, @SVector[1.0f0, 1.0f0]) |
| 57 | + prob = convert(SimpleNonlinearSolve.ImmutableNonlinearProblem, prob) |
55 | 58 |
|
56 | | - @testset "$(nameof(typeof(alg)))" for alg in ( |
57 | | - SimpleNewtonRaphson(), SimpleDFSane(), SimpleTrustRegion(), |
58 | | - SimpleTrustRegion(; nlsolve_update_rule = Val(true)), |
59 | | - SimpleBroyden(), SimpleLimitedMemoryBroyden(), SimpleKlement(), |
60 | | - SimpleHalley(), SimpleBroyden(; linesearch = Val(true)), |
61 | | - SimpleLimitedMemoryBroyden(; linesearch = Val(true))) |
62 | | - @test begin |
63 | | - try |
64 | | - @cuda kernel_function(prob, alg) |
65 | | - @info "Successfully launched kernel for $(alg)." |
66 | | - true |
67 | | - catch err |
68 | | - @error "Kernel Launch failed for $(alg)." |
69 | | - false |
70 | | - end |
71 | | - end broken=(alg isa SimpleHalley) |
| 59 | + @testset "$(nameof(typeof(alg)))" for alg in ( |
| 60 | + SimpleNewtonRaphson(), SimpleDFSane(), SimpleTrustRegion(), |
| 61 | + SimpleTrustRegion(; nlsolve_update_rule = Val(true)), |
| 62 | + SimpleBroyden(), SimpleLimitedMemoryBroyden(), SimpleKlement(), |
| 63 | + SimpleHalley(), SimpleBroyden(; linesearch = Val(true)), |
| 64 | + SimpleLimitedMemoryBroyden(; linesearch = Val(true))) |
| 65 | + @test begin |
| 66 | + try |
| 67 | + @cuda kernel_function(prob, alg) |
| 68 | + @info "Successfully launched kernel for $(alg)." |
| 69 | + true |
| 70 | + catch err |
| 71 | + @error "Kernel Launch failed for $(alg)." |
| 72 | + false |
| 73 | + end |
| 74 | + end broken=(alg isa SimpleHalley) |
| 75 | + end |
72 | 76 | end |
73 | 77 | end |
0 commit comments