refactor: Move dual nonlinear solving to NonlinearSolveBase

docs/src/basics/faq.md

@@ -152,10 +152,10 @@ nothing # hide
 ```
 
 And boom! Type stable again. We always recommend picking the chunksize via
-[`NonlinearSolve.pickchunksize`](@ref), however, if you manually specify the chunksize, it
+[`NonlinearSolveBase.pickchunksize`](@ref), however, if you manually specify the chunksize, it
 must be `≤ length of input`. However, a very large chunksize can lead to excessive
 compilation times and slowdown.
 
 ```@docs
-NonlinearSolve.pickchunksize
+NonlinearSolveBase.pickchunksize
 ```

lib/NonlinearSolveBase/ext/NonlinearSolveBaseForwardDiffExt.jl

@@ -2,17 +2,35 @@ module NonlinearSolveBaseForwardDiffExt
 
 using ADTypes: ADTypes, AutoForwardDiff, AutoPolyesterForwardDiff
 using ArrayInterface: ArrayInterface
-using CommonSolve: solve
+using CommonSolve: CommonSolve, solve, solve!, init
+using ConcreteStructs: @concrete
 using DifferentiationInterface: DifferentiationInterface
 using FastClosures: @closure
-using ForwardDiff: ForwardDiff, Dual
+using ForwardDiff: ForwardDiff, Dual, pickchunksize
 using SciMLBase: SciMLBase, AbstractNonlinearProblem, IntervalNonlinearProblem,
                  NonlinearProblem, NonlinearLeastSquaresProblem, remake
 
-using NonlinearSolveBase: NonlinearSolveBase, ImmutableNonlinearProblem, Utils
+using NonlinearSolveBase: NonlinearSolveBase, ImmutableNonlinearProblem, Utils, InternalAPI,
+                          NonlinearSolvePolyAlgorithm, NonlinearSolveForwardDiffCache
 
 const DI = DifferentiationInterface
 
+const GENERAL_SOLVER_TYPES = [
+    Nothing, NonlinearSolvePolyAlgorithm
+]
+
+const DualNonlinearProblem = NonlinearProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualNonlinearLeastSquaresProblem = NonlinearLeastSquaresProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualAbstractNonlinearProblem = Union{
+    DualNonlinearProblem, DualNonlinearLeastSquaresProblem
+}
+
 function NonlinearSolveBase.additional_incompatible_backend_check(
         prob::AbstractNonlinearProblem, ::Union{AutoForwardDiff, AutoPolyesterForwardDiff})
     return !ForwardDiff.can_dual(eltype(prob.u0))
@@ -102,4 +120,78 @@ function NonlinearSolveBase.nonlinearsolve_dual_solution(
     return map(((uᵢ, pᵢ),) -> Dual{T, V, P}(uᵢ, pᵢ), zip(u, Utils.restructure(u, partials)))
 end
 
+for algType in GENERAL_SOLVER_TYPES
+    @eval function SciMLBase.__solve(
+            prob::DualAbstractNonlinearProblem, alg::$(algType), args...; kwargs...
+    )
+        sol, partials = NonlinearSolveBase.nonlinearsolve_forwarddiff_solve(
+            prob, alg, args...; kwargs...
+        )
+        dual_soln = NonlinearSolveBase.nonlinearsolve_dual_solution(sol.u, partials, prob.p)
+        return SciMLBase.build_solution(
+            prob, alg, dual_soln, sol.resid; sol.retcode, sol.stats, sol.original
+        )
+    end
+end
+
+function InternalAPI.reinit!(
+        cache::NonlinearSolveForwardDiffCache, args...;
+        p = cache.p, u0 = NonlinearSolveBase.get_u(cache.cache), kwargs...
+)
+    InternalAPI.reinit!(
+        cache.cache; p = NonlinearSolveBase.nodual_value(p),
+        u0 = NonlinearSolveBase.nodual_value(u0), kwargs...
+    )
+    cache.p = p
+    cache.values_p = NonlinearSolveBase.nodual_value(p)
+    cache.partials_p = ForwardDiff.partials(p)
+    return cache
+end
+
+for algType in GENERAL_SOLVER_TYPES
+    @eval function SciMLBase.__init(
+            prob::DualAbstractNonlinearProblem, alg::$(algType), args...; kwargs...
+    )
+        p = NonlinearSolveBase.nodual_value(prob.p)
+        newprob = SciMLBase.remake(prob; u0 = NonlinearSolveBase.nodual_value(prob.u0), p)
+        cache = init(newprob, alg, args...; kwargs...)
+        return NonlinearSolveForwardDiffCache(
+            cache, newprob, alg, prob.p, p, ForwardDiff.partials(prob.p)
+        )
+    end
+end
+
+function CommonSolve.solve!(cache::NonlinearSolveForwardDiffCache)
+    sol = solve!(cache.cache)
+    prob = cache.prob
+    uu = sol.u
+
+    fn = prob isa NonlinearLeastSquaresProblem ?
+         NonlinearSolveBase.nlls_generate_vjp_function(prob, sol, uu) : prob.f
+
+    Jₚ = NonlinearSolveBase.nonlinearsolve_∂f_∂p(prob, fn, uu, cache.values_p)
+    Jᵤ = NonlinearSolveBase.nonlinearsolve_∂f_∂u(prob, fn, uu, cache.values_p)
+
+    z_arr = -Jᵤ \ Jₚ
+
+    sumfun = ((z, p),) -> map(zᵢ -> zᵢ * ForwardDiff.partials(p), z)
+    if cache.p isa Number
+        partials = sumfun((z_arr, cache.p))
+    else
+        partials = sum(sumfun, zip(eachcol(z_arr), cache.p))
+    end
+
+    dual_soln = NonlinearSolveBase.nonlinearsolve_dual_solution(sol.u, partials, cache.p)
+    return SciMLBase.build_solution(
+        prob, cache.alg, dual_soln, sol.resid; sol.retcode, sol.stats, sol.original
+    )
+end
+
+NonlinearSolveBase.nodual_value(x) = x
+NonlinearSolveBase.nodual_value(x::Dual) = ForwardDiff.value(x)
+NonlinearSolveBase.nodual_value(x::AbstractArray{<:Dual}) = map(ForwardDiff.value, x)
+
+@inline NonlinearSolveBase.pickchunksize(x) = pickchunksize(length(x))
+@inline NonlinearSolveBase.pickchunksize(x::Int) = ForwardDiff.pickchunksize(x)
+
 end

lib/NonlinearSolveBase/src/NonlinearSolveBase.jl

@@ -57,6 +57,8 @@ include("descent/geodesic_acceleration.jl")
 
 include("solve.jl")
 
+include("forward_diff.jl")
+
 # Unexported Public API
 @compat(public, (L2_NORM, Linf_NORM, NAN_CHECK, UNITLESS_ABS2, get_tolerance))
 @compat(public, (nonlinearsolve_forwarddiff_solve, nonlinearsolve_dual_solution))
@@ -83,4 +85,6 @@ export DescentResult, SteepestDescent, NewtonDescent, DampedNewtonDescent, Dogle
 
 export NonlinearSolvePolyAlgorithm
 
+export pickchunksize
+
 end

lib/NonlinearSolveBase/src/forward_diff.jl

@@ -0,0 +1,8 @@
+@concrete mutable struct NonlinearSolveForwardDiffCache <: AbstractNonlinearSolveCache
+    cache
+    prob
+    alg
+    p
+    values_p
+    partials_p
+end

lib/NonlinearSolveBase/src/public.jl

@@ -11,6 +11,15 @@ function nonlinearsolve_dual_solution end
 function nonlinearsolve_∂f_∂p end
 function nonlinearsolve_∂f_∂u end
 function nlls_generate_vjp_function end
+function nodual_value end
+
+"""
+    pickchunksize(x) = pickchunksize(length(x))
+    pickchunksize(x::Int)
+
+Determine the chunk size for ForwardDiff and PolyesterForwardDiff based on the input length.
+"""
+function pickchunksize end
 
 # Nonlinear Solve Termination Conditions
 abstract type AbstractNonlinearTerminationMode end

lib/NonlinearSolveFirstOrder/Project.toml

@@ -67,6 +67,7 @@ julia = "1.10"
 Aqua = "4c88cf16-eb10-579e-8560-4a9242c79595"
 BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
 ExplicitImports = "7d51a73a-1435-4ff3-83d9-f097790105c7"
 Hwloc = "0e44f5e4-bd66-52a0-8798-143a42290a1d"
@@ -86,4 +87,4 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [targets]
-test = ["Aqua", "BandedMatrices", "BenchmarkTools", "Enzyme", "ExplicitImports", "Hwloc", "InteractiveUtils", "LineSearch", "LineSearches", "NonlinearProblemLibrary", "Pkg", "Random", "ReTestItems", "SparseArrays", "SparseConnectivityTracer", "SparseMatrixColorings", "StableRNGs", "StaticArrays", "Test", "Zygote"]
+test = ["Aqua", "BandedMatrices", "BenchmarkTools", "ForwardDiff", "Enzyme", "ExplicitImports", "Hwloc", "InteractiveUtils", "LineSearch", "LineSearches", "NonlinearProblemLibrary", "Pkg", "Random", "ReTestItems", "SparseArrays", "SparseConnectivityTracer", "SparseMatrixColorings", "StableRNGs", "StaticArrays", "Test", "Zygote"]

lib/NonlinearSolveFirstOrder/src/NonlinearSolveFirstOrder.jl

@@ -22,14 +22,14 @@ using NonlinearSolveBase: NonlinearSolveBase, AbstractNonlinearSolveAlgorithm,
                           Utils, InternalAPI, get_timer_output, @static_timeit,
                           update_trace!, L2_NORM, NonlinearSolvePolyAlgorithm,
                           NewtonDescent, DampedNewtonDescent, GeodesicAcceleration,
-                          Dogleg
+                          Dogleg, NonlinearSolveForwardDiffCache
 using SciMLBase: SciMLBase, AbstractNonlinearProblem, NLStats, ReturnCode,
                  NonlinearFunction,
                  NonlinearLeastSquaresProblem, NonlinearProblem, NoSpecialize
 using SciMLJacobianOperators: VecJacOperator, JacVecOperator, StatefulJacobianOperator
 
 using FiniteDiff: FiniteDiff    # Default Finite Difference Method
-using ForwardDiff: ForwardDiff  # Default Forward Mode AD
+using ForwardDiff: ForwardDiff, Dual  # Default Forward Mode AD
 
 include("raphson.jl")
 include("gauss_newton.jl")
@@ -41,6 +41,8 @@ include("poly_algs.jl")
 
 include("solve.jl")
 
+include("forward_diff.jl")
+
 @setup_workload begin
     nonlinear_functions = (
         (NonlinearFunction{false, NoSpecialize}((u, p) -> u .* u .- p), 0.1),

lib/NonlinearSolveFirstOrder/src/forward_diff.jl

@@ -0,0 +1,34 @@
+const DualNonlinearProblem = NonlinearProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualNonlinearLeastSquaresProblem = NonlinearLeastSquaresProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualAbstractNonlinearProblem = Union{
+    DualNonlinearProblem, DualNonlinearLeastSquaresProblem
+}
+
+function SciMLBase.__init(
+        prob::DualAbstractNonlinearProblem, alg::GeneralizedFirstOrderAlgorithm, args...; kwargs...
+)
+    p = NonlinearSolveBase.nodual_value(prob.p)
+    newprob = SciMLBase.remake(prob; u0 = NonlinearSolveBase.nodual_value(prob.u0), p)
+    cache = init(newprob, alg, args...; kwargs...)
+    return NonlinearSolveForwardDiffCache(
+        cache, newprob, alg, prob.p, p, ForwardDiff.partials(prob.p)
+    )
+end
+
+function SciMLBase.__solve(
+        prob::DualAbstractNonlinearProblem, alg::GeneralizedFirstOrderAlgorithm, args...; kwargs...
+)
+    sol, partials = NonlinearSolveBase.nonlinearsolve_forwarddiff_solve(
+        prob, alg, args...; kwargs...
+    )
+    dual_soln = NonlinearSolveBase.nonlinearsolve_dual_solution(sol.u, partials, prob.p)
+    return SciMLBase.build_solution(
+        prob, alg, dual_soln, sol.resid; sol.retcode, sol.stats, sol.original
+    )
+end

lib/NonlinearSolveFirstOrder/test/misc_tests.jl

@@ -20,3 +20,13 @@
     @test sol.retcode == ReturnCode.Success
     @test jac_calls == 0
 end
+
+@testitem "Dual of BigFloat: Issue #512" tags=[:core] begin
+    using NonlinearSolveFirstOrder, ForwardDiff
+    fn_iip = NonlinearFunction{true}((du, u, p) -> du .= u .* u .- p)
+    u2 = [ForwardDiff.Dual(BigFloat(1.0), 5.0), ForwardDiff.Dual(BigFloat(1.0), 5.0),
+        ForwardDiff.Dual(BigFloat(1.0), 5.0)]
+    prob_iip_bf = NonlinearProblem{true}(fn_iip, u2, ForwardDiff.Dual(BigFloat(2.0), 5.0))
+    sol = solve(prob_iip_bf, NewtonRaphson())
+    @test sol.retcode == ReturnCode.Success
+end

lib/NonlinearSolveQuasiNewton/Project.toml

@@ -18,6 +18,12 @@ SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 SciMLOperators = "c0aeaf25-5076-4817-a8d5-81caf7dfa961"
 StaticArraysCore = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
 
+[weakdeps]
+ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+
+[extensions]
+NonlinearSolveQuasiNewtonForwardDiffExt = "ForwardDiff"
+
 [compat]
 ADTypes = "1.9.0"
 Aqua = "0.8"

lib/NonlinearSolveQuasiNewton/ext/NonlinearSolveQuasiNewtonForwardDiffExt.jl

@@ -0,0 +1,46 @@
+module NonlinearSolveQuasiNewtonForwardDiffExt
+
+using CommonSolve: CommonSolve, init
+using ForwardDiff: ForwardDiff, Dual
+using SciMLBase: SciMLBase, NonlinearProblem, NonlinearLeastSquaresProblem
+
+using NonlinearSolveBase: NonlinearSolveBase, NonlinearSolveForwardDiffCache, nodual_value
+
+using NonlinearSolveQuasiNewton: QuasiNewtonAlgorithm
+
+const DualNonlinearProblem = NonlinearProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualNonlinearLeastSquaresProblem = NonlinearLeastSquaresProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualAbstractNonlinearProblem = Union{
+    DualNonlinearProblem, DualNonlinearLeastSquaresProblem
+}
+
+function SciMLBase.__solve(
+        prob::DualAbstractNonlinearProblem, alg::QuasiNewtonAlgorithm, args...; kwargs...
+)
+    sol, partials = NonlinearSolveBase.nonlinearsolve_forwarddiff_solve(
+        prob, alg, args...; kwargs...
+    )
+    dual_soln = NonlinearSolveBase.nonlinearsolve_dual_solution(sol.u, partials, prob.p)
+    return SciMLBase.build_solution(
+        prob, alg, dual_soln, sol.resid; sol.retcode, sol.stats, sol.original
+    )
+end
+
+function SciMLBase.__init(
+        prob::DualAbstractNonlinearProblem, alg::QuasiNewtonAlgorithm, args...; kwargs...
+)
+    p = nodual_value(prob.p)
+    newprob = SciMLBase.remake(prob; u0 = nodual_value(prob.u0), p)
+    cache = init(newprob, alg, args...; kwargs...)
+    return NonlinearSolveForwardDiffCache(
+        cache, newprob, alg, prob.p, p, ForwardDiff.partials(prob.p)
+    )
+end
+
+end

lib/NonlinearSolveSpectralMethods/Project.toml

@@ -14,13 +14,20 @@ PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
 Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 
+[weakdeps]
+ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
+
+[extensions]
+NonlinearSolveSpectralMethodsForwardDiffExt = "ForwardDiff"
+
 [compat]
 Aqua = "0.8"
 BenchmarkTools = "1.5.0"
 CommonSolve = "0.2.4"
 ConcreteStructs = "0.2.3"
 DiffEqBase = "6.158.3"
 ExplicitImports = "1.5"
+ForwardDiff = "0.10.36"
 Hwloc = "3"
 InteractiveUtils = "<0.0.1, 1"
 LineSearch = "0.1.4"

lib/NonlinearSolveSpectralMethods/ext/NonlinearSolveSpectralMethodsForwardDiffExt.jl

@@ -0,0 +1,46 @@
+module NonlinearSolveSpectralMethodsForwardDiffExt
+
+using CommonSolve: CommonSolve, init
+using ForwardDiff: ForwardDiff, Dual
+using SciMLBase: SciMLBase, NonlinearProblem, NonlinearLeastSquaresProblem
+
+using NonlinearSolveBase: NonlinearSolveBase, NonlinearSolveForwardDiffCache, nodual_value
+
+using NonlinearSolveSpectralMethods: GeneralizedDFSane
+
+const DualNonlinearProblem = NonlinearProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualNonlinearLeastSquaresProblem = NonlinearLeastSquaresProblem{
+    <:Union{Number, <:AbstractArray}, iip,
+    <:Union{<:Dual{T, V, P}, <:AbstractArray{<:Dual{T, V, P}}}
+} where {iip, T, V, P}
+const DualAbstractNonlinearProblem = Union{
+    DualNonlinearProblem, DualNonlinearLeastSquaresProblem
+}
+
+function SciMLBase.__solve(
+        prob::DualAbstractNonlinearProblem, alg::GeneralizedDFSane, args...; kwargs...
+)
+    sol, partials = NonlinearSolveBase.nonlinearsolve_forwarddiff_solve(
+        prob, alg, args...; kwargs...
+    )
+    dual_soln = NonlinearSolveBase.nonlinearsolve_dual_solution(sol.u, partials, prob.p)
+    return SciMLBase.build_solution(
+        prob, alg, dual_soln, sol.resid; sol.retcode, sol.stats, sol.original
+    )
+end
+
+function SciMLBase.__init(
+        prob::DualAbstractNonlinearProblem, alg::GeneralizedDFSane, args...; kwargs...
+)
+    p = nodual_value(prob.p)
+    newprob = SciMLBase.remake(prob; u0 = nodual_value(prob.u0), p)
+    cache = init(newprob, alg, args...; kwargs...)
+    return NonlinearSolveForwardDiffCache(
+        cache, newprob, alg, prob.p, p, ForwardDiff.partials(prob.p)
+    )
+end
+
+end