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fix: simplenonlinearsolve in cuda kernels
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,90 @@ | ||
| @testitem "Solving on CUDA" tags=[:cuda] begin | ||
| using StaticArrays, CUDA, SimpleNonlinearSolve | ||
|
|
||
| if CUDA.functional() | ||
| CUDA.allowscalar(false) | ||
|
|
||
| f(u, p) = u .* u .- 2 | ||
| f!(du, u, p) = (du .= u .* u .- 2) | ||
|
|
||
| @testset "$(nameof(typeof(alg)))" for alg in ( | ||
| SimpleNewtonRaphson(), | ||
| SimpleDFSane(), | ||
| SimpleTrustRegion(), | ||
| SimpleTrustRegion(; nlsolve_update_rule = Val(true)), | ||
| SimpleBroyden(), | ||
| SimpleLimitedMemoryBroyden(), | ||
| SimpleKlement(), | ||
| SimpleHalley(), | ||
| SimpleBroyden(; linesearch = Val(true)), | ||
| SimpleLimitedMemoryBroyden(; linesearch = Val(true)) | ||
| ) | ||
| # Static Arrays | ||
| u0 = @SVector[1.0f0, 1.0f0] | ||
| probN = NonlinearProblem{false}(f, u0) | ||
| sol = solve(probN, alg; abstol = 1.0f-6) | ||
| @test SciMLBase.successful_retcode(sol) | ||
| @test maximum(abs, sol.resid) ≤ 1.0f-6 | ||
|
|
||
| # Regular Arrays | ||
| u0 = [1.0, 1.0] | ||
| probN = NonlinearProblem{false}(f, u0) | ||
| sol = solve(probN, alg; abstol = 1.0f-6) | ||
| @test SciMLBase.successful_retcode(sol) | ||
| @test maximum(abs, sol.resid) ≤ 1.0f-6 | ||
|
|
||
| # Regular Arrays Inplace | ||
| if !(alg isa SimpleHalley) | ||
| u0 = [1.0, 1.0] | ||
| probN = NonlinearProblem{true}(f!, u0) | ||
| sol = solve(probN, alg; abstol = 1.0f-6) | ||
| @test SciMLBase.successful_retcode(sol) | ||
| @test maximum(abs, sol.resid) ≤ 1.0f-6 | ||
| end | ||
| end | ||
| end | ||
| end | ||
|
|
||
| @testitem "CUDA Kernel Launch Test" tags=[:cuda] begin | ||
| using StaticArrays, CUDA, SimpleNonlinearSolve | ||
| using NonlinearSolveBase: ImmutableNonlinearProblem | ||
|
|
||
| if CUDA.functional() | ||
| CUDA.allowscalar(false) | ||
|
|
||
| f(u, p) = u .* u .- p | ||
|
|
||
| function kernel_function(prob, alg) | ||
| solve(prob, alg) | ||
| return nothing | ||
| end | ||
|
|
||
| @testset for u0 in (1.0f0, @SVector[1.0f0, 1.0f0]) | ||
| prob = convert(ImmutableNonlinearProblem, NonlinearProblem{false}(f, u0, 2.0f0)) | ||
|
|
||
| @testset "$(nameof(typeof(alg)))" for alg in ( | ||
| SimpleNewtonRaphson(), | ||
| SimpleDFSane(), | ||
| SimpleTrustRegion(), | ||
| SimpleTrustRegion(; nlsolve_update_rule = Val(true)), | ||
| SimpleBroyden(), | ||
| SimpleLimitedMemoryBroyden(), | ||
| SimpleKlement(), | ||
| SimpleHalley(), | ||
| SimpleBroyden(; linesearch = Val(true)), | ||
| SimpleLimitedMemoryBroyden(; linesearch = Val(true)) | ||
| ) | ||
| @test begin | ||
| try | ||
| @cuda kernel_function(prob, alg) | ||
| @info "Successfully launched kernel for $(alg)." | ||
| true | ||
| catch err | ||
| @error "Kernel Launch failed for $(alg)." | ||
| false | ||
| end | ||
| end broken=(alg isa SimpleHalley && u0 isa StaticArray) | ||
| end | ||
| end | ||
| end | ||
| end |
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