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Loosen type rules for Mooncake #38

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Merged
kshyatt merged 3 commits into from
May 21, 2026
Merged

Loosen type rules for Mooncake #38

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4fd5436
Loosen type rules for Mooncake
kshyatt May 21, 2026
2b056ef
Arrayify methods
kshyatt May 21, 2026
c6c813c
Tighten isprimitive for AbstractArray
kshyatt May 21, 2026
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16 changes: 8 additions & 8 deletions ext/VectorInterfaceMooncakeExt.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ _needs_tangent(::Type{T}) where {T <: Number} =
# scale
# -----
@is_primitive DefaultCtx Tuple{typeof(scale!), AbstractArray, Number}
function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_螖C::CoDual{<:AbstractArray}, 伪_螖伪::CoDual{<:Number})
function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_螖C::CoDual, 伪_螖伪::CoDual{<:Number})
# prepare arguments
C, 螖C = arrayify(C_螖C)
伪 = primal(伪_螖伪)
Expand All @@ -43,7 +43,7 @@ function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_螖C::CoDual{<:AbstractArra
return C_螖C, scale_pullback
end

function Mooncake.frule!!(::Dual{typeof(scale!)}, C_螖C::Dual{<:AbstractArray}, 伪_螖伪::Dual{<:Number})
function Mooncake.frule!!(::Dual{typeof(scale!)}, C_螖C::Dual, 伪_螖伪::Dual{<:Number})
# prepare arguments
C, 螖C = arrayify(C_螖C)
伪, 螖伪 = extract(伪_螖伪)
Expand All @@ -60,7 +60,7 @@ end

@is_primitive DefaultCtx Tuple{typeof(scale!), AbstractArray, AbstractArray, Number}

function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_螖C::CoDual{<:AbstractArray}, A_螖A::CoDual{<:AbstractArray}, 伪_螖伪::CoDual{<:Number})
function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_螖C::CoDual, A_螖A::CoDual, 伪_螖伪::CoDual{<:Number})
# prepare arguments
C, 螖C = arrayify(C_螖C)
A, 螖A = arrayify(A_螖A)
Expand All @@ -81,7 +81,7 @@ function Mooncake.rrule!!(::CoDual{typeof(scale!)}, C_螖C::CoDual{<:AbstractArra
return C_螖C, scale_pullback
end

function Mooncake.frule!!(::Dual{typeof(scale!)}, C_螖C::Dual{<:AbstractArray}, A_螖A::Dual{<:AbstractArray}, 伪_螖伪::Dual{<:Number})
function Mooncake.frule!!(::Dual{typeof(scale!)}, C_螖C::Dual, A_螖A::Dual, 伪_螖伪::Dual{<:Number})
# prepare arguments
C, 螖C = arrayify(C_螖C)
A, 螖A = arrayify(A_螖A)
Expand All @@ -98,7 +98,7 @@ end

@is_primitive DefaultCtx Tuple{typeof(add!), AbstractArray, AbstractArray, Number, Number}

function Mooncake.rrule!!(::CoDual{typeof(add!)}, C_螖C::CoDual{<:AbstractArray}, A_螖A::CoDual{<:AbstractArray}, 伪_螖伪::CoDual{<:Number}, 尾_螖尾::CoDual{<:Number})
function Mooncake.rrule!!(::CoDual{typeof(add!)}, C_螖C::CoDual, A_螖A::CoDual, 伪_螖伪::CoDual{<:Number}, 尾_螖尾::CoDual{<:Number})
# prepare arguments
C, 螖C = arrayify(C_螖C)
A, 螖A = arrayify(A_螖A)
Expand All @@ -123,7 +123,7 @@ function Mooncake.rrule!!(::CoDual{typeof(add!)}, C_螖C::CoDual{<:AbstractArray}
return C_螖C, add_pullback
end

function Mooncake.frule!!(::Dual{typeof(add!)}, C_螖C::Dual{<:AbstractArray}, A_螖A::Dual{<:AbstractArray}, 伪_螖伪::Dual{<:Number}, 尾_螖尾::Dual{<:Number})
function Mooncake.frule!!(::Dual{typeof(add!)}, C_螖C::Dual, A_螖A::Dual, 伪_螖伪::Dual{<:Number}, 尾_螖尾::Dual{<:Number})
# prepare arguments
C, 螖C = arrayify(C_螖C)
A, 螖A = arrayify(A_螖A)
Expand All @@ -142,7 +142,7 @@ end

@is_primitive DefaultCtx Tuple{typeof(inner), AbstractArray, AbstractArray}

function Mooncake.rrule!!(::CoDual{typeof(inner)}, A_螖A::CoDual{<:AbstractArray}, B_螖B::CoDual{<:AbstractArray})
function Mooncake.rrule!!(::CoDual{typeof(inner)}, A_螖A::CoDual, B_螖B::CoDual)
# prepare arguments
A, 螖A = arrayify(A_螖A)
B, 螖B = arrayify(B_螖B)
Expand All @@ -159,7 +159,7 @@ function Mooncake.rrule!!(::CoDual{typeof(inner)}, A_螖A::CoDual{<:AbstractArray
return CoDual(s, NoFData()), inner_pullback
end

function Mooncake.frule!!(::Dual{typeof(inner)}, A_螖A::Dual{<:AbstractArray}, B_螖B::Dual{<:AbstractArray})
function Mooncake.frule!!(::Dual{typeof(inner)}, A_螖A::Dual, B_螖B::Dual)
# prepare arguments
A, 螖A = arrayify(A_螖A)
B, 螖B = arrayify(B_螖B)
Expand Down
8 changes: 8 additions & 0 deletions test/mooncake.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -4,13 +4,21 @@ using VectorInterface
using VectorInterface: MinimalMVec, MinimalSVec, MinimalVec
using Test, TestExtras
using Mooncake
import Mooncake: arrayify
using Random

rng = Random.default_rng()

precision(::Type{T}) where {T <: Union{Float32, ComplexF32}} = sqrt(eps(Float32))
precision(::Type{T}) where {T <: Union{Float64, ComplexF64}} = sqrt(eps(Float64))

function Mooncake.arrayify(A_dA::Mooncake.CoDual{<:MinimalVec})
return (Mooncake.primal(A_dA).vec, Mooncake.tangent(A_dA).data.vec)
end
function Mooncake.arrayify(A_dA::Mooncake.Dual{<:MinimalVec})
return (Mooncake.primal(A_dA).vec, Mooncake.tangent(A_dA).fields.vec)
end

eltypes = (Float32, Float64, ComplexF64)

@testset "scale ($T)" for T in eltypes
Expand Down
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