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4 changes: 2 additions & 2 deletions Project.toml
Original file line number Diff line number Diff line change
Expand Up @@ -74,8 +74,8 @@ ChainRulesCore = "1.22"
ConcreteStructs = "0.2.3"
DocStringExtensions = "0.9.3"
EnumX = "1.0.4"
Enzyme = "0.11.15, 0.12, 0.13"
EnzymeCore = "0.6.5, 0.7, 0.8"
Enzyme = "0.13"
EnzymeCore = "0.8"
FastAlmostBandedMatrices = "0.1"
FastLapackInterface = "2"
FiniteDiff = "2.22"
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40 changes: 30 additions & 10 deletions ext/LinearSolveEnzymeExt.jl
Original file line number Diff line number Diff line change
Expand Up @@ -8,13 +8,17 @@ using Enzyme

using EnzymeCore

function EnzymeCore.EnzymeRules.forward(
function EnzymeCore.EnzymeRules.forward(config::ConfigWidth{1},
func::Const{typeof(LinearSolve.init)}, ::Type{RT}, prob::EnzymeCore.Annotation{LP},
alg::Const; kwargs...) where {RT, LP <: LinearSolve.LinearProblem}
@assert !(prob isa Const)
res = func.val(prob.val, alg.val; kwargs...)
if RT <: Const
return res
if EnzymeRules.needs_primal(config)
return res
else
return nothing
end
end
dres = func.val(prob.dval, alg.val; kwargs...)
dres.b .= res.b == dres.b ? zero(dres.b) : dres.b
Expand All @@ -25,17 +29,31 @@ function EnzymeCore.EnzymeRules.forward(
return Duplicated(res, dres)
end
error("Unsupported return type $RT")

if EnzymeRules.needs_primal(config) && EnzymeRules.needs_shadow(config)
Duplicated(res, dres)
elseif EnzymeRules.needs_shadow(config)
dres
elseif EnzymeRules.needs_primal(config)
res
else
nothing
end
end

function EnzymeCore.EnzymeRules.forward(func::Const{typeof(LinearSolve.solve!)},
function EnzymeCore.EnzymeRules.forward(config::ConfigWidth{1}, func::Const{typeof(LinearSolve.solve!)},
::Type{RT}, linsolve::EnzymeCore.Annotation{LP};
kwargs...) where {RT, LP <: LinearSolve.LinearCache}
@assert !(linsolve isa Const)

res = func.val(linsolve.val; kwargs...)

if RT <: Const
return res
if EnzymeRules.needs_primal(config)
return res
else
return nothing
end
end
if linsolve.val.alg isa LinearSolve.AbstractKrylovSubspaceMethod
error("Algorithm $(_linsolve.alg) is currently not supported by Enzyme rules on LinearSolve.jl. Please open an issue on LinearSolve.jl detailing which algorithm is missing the adjoint handling")
Expand All @@ -50,13 +68,15 @@ function EnzymeCore.EnzymeRules.forward(func::Const{typeof(LinearSolve.solve!)},

linsolve.val.b = b

if RT <: DuplicatedNoNeed
return dres
elseif RT <: Duplicated
return Duplicated(res, dres)
if EnzymeRules.needs_primal(config) && EnzymeRules.needs_shadow(config)
Duplicated(res, dres)
elseif EnzymeRules.needs_shadow(config)
dres
elseif EnzymeRules.needs_primal(config)
res
else
nothing
end

return Duplicated(res, dres)
end

function EnzymeCore.EnzymeRules.augmented_primal(
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