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6 changes: 5 additions & 1 deletion src/rules/customrules.jl
Original file line number Diff line number Diff line change
Expand Up @@ -456,7 +456,11 @@ function enzyme_custom_setup_args(
root_ty = nothing
roots_val = if roots_op !== nothing
root_ty = convert(LLVMType, AnyArray(roots))
new_from_original(gutils, roots_op)
roots_val = new_from_original(gutils, roots_op)
if reverse && B !== nothing
roots_val = lookup_value(gutils, roots_val, B)
end
roots_val
end


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42 changes: 42 additions & 0 deletions test/rules/internal_rules/sparsearrays_rules.jl
Original file line number Diff line number Diff line change
Expand Up @@ -46,6 +46,31 @@ function test_sparse(M, v, α, β)
return test_reverse(LinearAlgebra.mul!, Const, (C, Const), (M, Const), (v, Const), (α, Active), (β, Active))
end

struct SparseWrapperScale{T}
λ::T
end

Base.convert(::Type{Number}, x::SparseWrapperScale) = x.λ
Base.iszero(x::SparseWrapperScale) = iszero(x.λ)

struct SparseWrapperMatrix{A}
A::A
end

struct SparseWrapperScaledMatrix
λ::SparseWrapperScale{Float64}
L::SparseWrapperMatrix{SparseMatrixCSC{Float64, Int}}
end

function sparse_wrapper_mul!(w, L::SparseWrapperScaledMatrix, v)
iszero(L.λ) && return lmul!(false, w)
α = convert(Number, L.λ)
return mul!(w, L.L.A, v, α, false)
end

const sparse_wrapper_matrix = sparse(Float64[0.0 1.0; 0.0 0.0])
sparse_wrapper_nonconst_m = SparseWrapperMatrix(sparse_wrapper_matrix)

@testset "SparseArrays spmatvec reverse rule" begin
Ts = ComplexF64

Expand Down Expand Up @@ -82,6 +107,23 @@ end
end
end

@testset "SparseArrays nested wrapper reverse rule" begin
function f(p)
u = [3.0, 4.0]
du = similar(u)
L = SparseWrapperScaledMatrix(SparseWrapperScale(-p[1]), sparse_wrapper_nonconst_m)
sparse_wrapper_mul!(du, L, u)
return sum(du)
end

p = [1.0]
dp = Enzyme.make_zero(p)

@test f(p) == -4.0
Enzyme.autodiff(Enzyme.set_runtime_activity(Enzyme.Reverse), f, Active, Duplicated(p, dp))
@test dp ≈ [-4.0]
end

@testset "SparseArrays spmatmat reverse rule" begin
Ts = ComplexF64

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