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convert to immutable for CUDA tests #151

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Converts NonlinearProblem to ImmutableNonlinearProblem for CUDA compatibility (SciML/NonlinearSolve.jl#439)

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m-bossart commented Jun 7, 2024

Tests are failing due to this methoderror. I'm not sure why given the constructor in the new ImmutableNonlinearProblem struct :

MethodError: no method matching SimpleNonlinearSolve.ImmutableNonlinearProblem(::SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, typeof(Main.var"##CUDA Kernel Launch Test#1070".f), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing}, ::StaticArraysCore.SVector{2, Float32}, ::SciMLBase.NullParameters, ::SciMLBase.StandardNonlinearProblem)

m-bossart and others added 2 commits June 8, 2024 10:34
Co-authored-by: Christopher Rackauckas <accounts@chrisrackauckas.com>
Comment on lines 85 to 86
function SciMLBase.solve(prob::Union{ImmutableNonlinearProblem}, alg::AbstractSimpleNonlinearSolveAlgorithm,
args...; sensealg = nothing, u0 = nothing, p = nothing, kwargs...)
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The conversion should go here.

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I moved the conversion to inside the solve in the last commit. Now I'm getting a method error when precompiling due to the startup workload. It is complaining about this line when solving a problem that has been converted and its not clear to me how to fix it:

fx = prob.f(x, prob.p)

@avik-pal
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I will review it in detail later, but tagging @Vaibhavdixit02 because it will very likely break GPUPSO. Maybe we tag a breaking release just for safety

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Since that package wasn't released, you should be fine on that end.

@ChrisRackauckas
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GPUPSO should be fine if this is done right? We just need to make sure the kernels use everything immutable.

Comment on lines 56 to 65
staticarray_itize(x) = x
staticarray_itize(x::Vector) = SVector{length(x)}(x)
staticarray_itize(x::SizedVector) = SVector{length(x)}(x)
staticarray_itize(x::Matrix) = SMatrix{size(x)...}(x)
staticarray_itize(x::SizedMatrix) = SMatrix{size(x)...}(x)

function Base.convert(::Type{ImmutableNonlinearProblem}, prob::T) where {T <: NonlinearProblem}
ImmutableNonlinearProblem{isinplace(prob)}(prob.f,
staticarray_itize(prob.u0),
staticarray_itize(prob.p),
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This isn't going to be type stable, we shouldn't copy this part. Don't automatically make things static array, just immutable the problem.

@@ -22,7 +22,7 @@ end

__get_linesearch(::SimpleBroyden{LS}) where {LS} = Val(LS)

function SciMLBase.__solve(prob::NonlinearProblem, alg::SimpleBroyden, args...;
function SciMLBase.__solve(prob::Union{NonlinearProblem, ImmutableNonlinearProblem}, alg::SimpleBroyden, args...;
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None of these unions should be required. If done correctly, the top level should change to an ImmutableNonlinearProblem, and then they should all be that.

@ChrisRackauckas
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Left a few comments. If those two things are done this should be quick to finish.

@m-bossart
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I made changes according to your comments. The simple adjoint test is failing with this error:
Cannot determine ordering of Dual tags Nothing and ForwardDiff.Tag{Base.Fix2{SciMLBase.NonlinearFunction{false, SciMLBase.FullSpecialize, typeof(Main.var"##Simple Adjoint Test#264".ff), LinearAlgebra.UniformScaling{Bool}, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED_NO_TIME), Nothing, Nothing, Nothing}, Vector{Float64}}, Float64}

Any thoughts on the fix for that?

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These tests are also failing: https://github.com/SciML/SimpleNonlinearSolve.jl/blob/40958d2c2fdff0986d113ea1f5ed1ffa96316e89/test/gpu/cuda_tests.jl#L40C1-L40C107

Doesn't the kernel_function need to change given that the conversion to an Immutable struct happens within the solve call? I'm not sure how that test should be restructured.

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They kernel function needs to be the immutable form. And this would need an FAQ entry.

Any thoughts on the fix for that?

Add the immutable stuff to the AD dispatches?

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4 participants