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MatrixAlgebraKitMooncakeExt.jl
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module MatrixAlgebraKitMooncakeExt
using Mooncake
using Mooncake: DefaultCtx, CoDual, Dual, NoRData, rrule!!, frule!!, arrayify, @is_primitive
using MatrixAlgebraKit
using MatrixAlgebraKit: inv_safe, diagview
using MatrixAlgebraKit: svd_pushforward!
using MatrixAlgebraKit: qr_pullback!, lq_pullback!, qr_pushforward!, lq_pushforward!
using MatrixAlgebraKit: qr_null_pullback!, lq_null_pullback!, qr_null_pushforward!, lq_null_pushforward!
using MatrixAlgebraKit: eig_pullback!, eigh_pullback!, eig_pushforward!, eigh_pushforward!
using MatrixAlgebraKit: left_polar_pullback!, right_polar_pullback!, left_polar_pushforward!, right_polar_pushforward!
using LinearAlgebra
# two-argument factorizations like LQ, QR, EIG
for (f, pb, pf, adj) in ((qr_full!, qr_pullback!, qr_pushforward!, :dqr_adjoint),
(qr_compact!, qr_pullback!, qr_pushforward!, :dqr_adjoint),
(lq_full!, lq_pullback!, lq_pushforward!, :dlq_adjoint),
(lq_compact!, lq_pullback!, lq_pushforward!, :dlq_adjoint),
(eig_full!, eig_pullback!, eig_pushforward!, :deig_adjoint),
(eigh_full!, eigh_pullback!, eigh_pushforward!, :deigh_adjoint),
(left_polar!, left_polar_pullback!, left_polar_pushforward!, :dleft_polar_adjoint),
(right_polar!, right_polar_pullback!, right_polar_pushforward!, :dright_polar_adjoint),
)
@eval begin
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof($f), AbstractMatrix, Tuple{<:AbstractMatrix, <:AbstractMatrix}, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.rrule!!(::CoDual{typeof($f)}, A_dA::CoDual{<:AbstractMatrix}, args_dargs::CoDual, alg_dalg::CoDual{<:MatrixAlgebraKit.AbstractAlgorithm}; kwargs...)
A, dA = arrayify(A_dA)
dA .= zero(eltype(A))
args = Mooncake.primal(args_dargs)
dargs = Mooncake.tangent(args_dargs)
arg1, darg1 = arrayify(args[1], dargs[1])
arg2, darg2 = arrayify(args[2], dargs[2])
function $adj(::Mooncake.NoRData)
dA = $pb(dA, A, (arg1, arg2), (darg1, darg2); kwargs...)
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
args = $f(A, args, Mooncake.primal(alg_dalg); kwargs...)
darg1 .= zero(eltype(arg1))
darg2 .= zero(eltype(arg2))
return Mooncake.CoDual(args, dargs), $adj
end
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof($f), AbstractMatrix, Tuple{<:AbstractMatrix, <:AbstractMatrix}, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(::Dual{typeof($f)}, A_dA::Dual{<:AbstractMatrix}, args_dargs::Dual, alg_dalg::Dual{<:MatrixAlgebraKit.AbstractAlgorithm}; kwargs...)
A, dA = arrayify(A_dA)
args = Mooncake.primal(args_dargs)
args = $f(A, args, Mooncake.primal(alg_dalg); kwargs...)
dargs = Mooncake.tangent(args_dargs)
arg1, darg1 = arrayify(args[1], dargs[1])
arg2, darg2 = arrayify(args[2], dargs[2])
darg1, darg2 = $pf(dA, A, (arg1, arg2), (darg1, darg2))
dA .= zero(eltype(A))
return Mooncake.Dual(args, dargs)
end
end
end
for (f, f_full, pb, pf, adj) in ((qr_null!, qr_full, qr_null_pullback!, qr_null_pushforward!, :dqr_null_adjoint),
(lq_null!, lq_full, lq_null_pullback!, lq_null_pushforward!, :dlq_null_adjoint),
)
@eval begin
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof($f), AbstractMatrix, AbstractMatrix, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.rrule!!(f_df::CoDual{typeof($f)}, A_dA::CoDual{<:AbstractMatrix}, arg_darg::CoDual{<:AbstractMatrix}, alg_dalg::CoDual{<:MatrixAlgebraKit.AbstractAlgorithm}; kwargs...)
A, dA = arrayify(A_dA)
Ac = MatrixAlgebraKit.copy_input($f_full, A)
arg, darg = arrayify(Mooncake.primal(arg_darg), Mooncake.tangent(arg_darg))
arg = $f(Ac, arg, Mooncake.primal(alg_dalg))
function $adj(::Mooncake.NoRData)
dA .= zero(eltype(A))
$pb(dA, A, arg, darg; kwargs...)
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
return arg_darg, $adj
end
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof($f), AbstractMatrix, AbstractMatrix, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(f_df::Dual{typeof($f)}, A_dA::Dual{<:AbstractMatrix}, arg_darg::Dual{<:AbstractMatrix}, alg_dalg::Dual{<:MatrixAlgebraKit.AbstractAlgorithm}; kwargs...)
A, dA = arrayify(A_dA)
Ac = MatrixAlgebraKit.copy_input($f_full, A)
arg, darg = arrayify(Mooncake.primal(arg_darg), Mooncake.tangent(arg_darg))
arg = $f(Ac, arg, Mooncake.primal(alg_dalg))
$pf(dA, A, arg, darg; kwargs...)
dA .= zero(dA)
return arg_darg
end
end
end
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof(MatrixAlgebraKit.eig_vals!), AbstractMatrix, AbstractVector, MatrixAlgebraKit.AbstractAlgorithm}
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof(MatrixAlgebraKit.eig_vals!), AbstractMatrix, AbstractVector, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(::Dual{<:typeof(MatrixAlgebraKit.eig_vals!)}, A_dA::Dual, D_dD::Dual, alg_dalg::Dual; kwargs...)
# compute primal
D_ = Mooncake.primal(D_dD)
dD_ = Mooncake.tangent(D_dD)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
D, dD = arrayify(D_, dD_)
nD, V = eig_full(A, alg_dalg.primal; kwargs...)
# update tangent
tmp = V \ dA
dD .= diagview(tmp * V)
dA .= zero(eltype(dA))
return Mooncake.Dual(nD.diag, dD_)
end
function Mooncake.rrule!!(::CoDual{<:typeof(MatrixAlgebraKit.eig_vals!)}, A_dA::CoDual, D_dD::CoDual, alg_dalg::CoDual; kwargs...)
# compute primal
D_ = Mooncake.primal(D_dD)
dD_ = Mooncake.tangent(D_dD)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
D, dD = arrayify(D_, dD_)
dA .= zero(eltype(dA))
# update primal
DV = eig_full(A, Mooncake.primal(alg_dalg); kwargs...)
V = DV[2]
dD .= zero(eltype(D))
function deig_vals_adjoint(::Mooncake.NoRData)
PΔV = V' \ Diagonal(dD)
if eltype(dA) <: Real
ΔAc = PΔV * V'
dA .+= real.(ΔAc)
else
mul!(dA, PΔV, V', 1, 0)
end
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
return Mooncake.CoDual(DV[1].diag, dD_), deig_vals_adjoint
end
#=
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof(MatrixAlgebraKit.eigh_full!), AbstractMatrix, Tuple{<:Diagonal, <:AbstractMatrix}, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.rrule!!(::CoDual{typeof(MatrixAlgebraKit.eigh_full!)}, A_dA::CoDual{<:AbstractMatrix}, DV_dDV::CoDual{<:Tuple{<:Diagonal, <:AbstractMatrix}}, alg_dalg::CoDual{<:MatrixAlgebraKit.AbstractAlgorithm}; kwargs...)
A, dA = arrayify(A_dA)
dA .= zero(eltype(A))
DV = Mooncake.primal(DV_dDV)
dDV = Mooncake.tangent(DV_dDV)
D, dD = arrayify(DV[1], dDV[1])
V, dV = arrayify(DV[2], dDV[2])
function deigh_adjoint(::Mooncake.NoRData)
dA = MatrixAlgebraKit.eigh_pullback!(dA, A, (D, V), (dD, dV); kwargs...)
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
DV = eigh_full!(A, DV, Mooncake.primal(alg_dalg); kwargs...)
return Mooncake.CoDual(DV, dDV), deigh_adjoint
end
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof(MatrixAlgebraKit.eigh_full!), AbstractMatrix, Tuple{<:Diagonal, <:AbstractMatrix}, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(::Dual{typeof(MatrixAlgebraKit.eigh_full!)}, A_dA::Dual, DV_dDV::Dual, alg_dalg::Dual; kwargs...)
A, dA = arrayify(A_dA)
DV = Mooncake.primal(DV_dDV)
dDV = Mooncake.tangent(DV_dDV)
D, dD = arrayify(DV[1], dDV[1])
V, dV = arrayify(DV[2], dDV[2])
(D, V) = eigh_full!(A, DV, Mooncake.primal(alg_dalg); kwargs...)
(dD, dV) = eigh_pushforward!(dA, A, (D, V), (dD, dV); kwargs...)
return Mooncake.Dual(DV, dDV)
end
=#
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof(MatrixAlgebraKit.eigh_vals!), AbstractMatrix, AbstractVector, MatrixAlgebraKit.AbstractAlgorithm}
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof(MatrixAlgebraKit.eigh_vals!), AbstractMatrix, AbstractVector, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(::Dual{<:typeof(MatrixAlgebraKit.eigh_vals!)}, A_dA::Dual, D_dD::Dual, alg_dalg::Dual; kwargs...)
# compute primal
D_ = Mooncake.primal(D_dD)
dD_ = Mooncake.tangent(D_dD)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
D, dD = arrayify(D_, dD_)
nD, V = eigh_full(A, alg_dalg.primal; kwargs...)
# update tangent
tmp = inv(V) * dA * V
dD .= real.(diagview(tmp))
D .= nD.diag
dA .= zero(eltype(dA))
return D_dD
end
function Mooncake.rrule!!(::CoDual{<:typeof(MatrixAlgebraKit.eigh_vals!)}, A_dA::CoDual, D_dD::CoDual, alg_dalg::CoDual; kwargs...)
# compute primal
D_ = Mooncake.primal(D_dD)
dD_ = Mooncake.tangent(D_dD)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
D, dD = arrayify(D_, dD_)
DV = eigh_full(A, Mooncake.primal(alg_dalg); kwargs...)
function deigh_vals_adjoint(::Mooncake.NoRData)
mul!(dA, DV[2] * Diagonal(real(dD)), DV[2]', 1, 0)
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
return Mooncake.CoDual(DV[1].diag, dD_), deigh_vals_adjoint
end
for (f, St) in ((svd_full!, :AbstractMatrix), (svd_compact!, :Diagonal))
@eval begin
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof($f), AbstractMatrix, Tuple{<:AbstractMatrix, <:$St, <:AbstractMatrix}, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.rrule!!(::CoDual{typeof($f)}, A_dA::CoDual, USVᴴ_dUSVᴴ::CoDual, alg_dalg::CoDual; kwargs...)
A, dA = arrayify(A_dA)
USVᴴ = Mooncake.primal(USVᴴ_dUSVᴴ)
dUSVᴴ = Mooncake.tangent(USVᴴ_dUSVᴴ)
U, dU = arrayify(USVᴴ[1], dUSVᴴ[1])
S, dS = arrayify(USVᴴ[2], dUSVᴴ[2])
Vᴴ, dVᴴ = arrayify(USVᴴ[3], dUSVᴴ[3])
USVᴴ = $f(A, USVᴴ, Mooncake.primal(alg_dalg); kwargs...)
function dsvd_adjoint(::Mooncake.NoRData)
dA .= zero(eltype(A))
minmn = min(size(A)...)
if size(U, 2) == size(Vᴴ, 1) == minmn # compact
dA = MatrixAlgebraKit.svd_pullback!(dA, A, (U, S, Vᴴ), (dU, dS, dVᴴ))
else # full
vU = view(U, :, 1:minmn)
vS = Diagonal(diagview(S)[1:minmn])
vVᴴ = view(Vᴴ, 1:minmn, :)
vdU = view(dU, :, 1:minmn)
vdS = view(dS, 1:minmn, 1:minmn)
vdVᴴ = view(dVᴴ, 1:minmn, :)
dA = MatrixAlgebraKit.svd_pullback!(dA, A, (vU, vS, vVᴴ), (vdU, vdS, vdVᴴ))
end
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
dU .= zero(dU)
dS .= zero(dS)
dVᴴ .= zero(dVᴴ)
return Mooncake.CoDual(USVᴴ, dUSVᴴ), dsvd_adjoint
end
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof($f), AbstractMatrix, Tuple{<:AbstractMatrix, <:$St, <:AbstractMatrix}, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(::Dual{<:typeof($f)}, A_dA::Dual, USVᴴ_dUSVᴴ::Dual, alg_dalg::Dual; kwargs...)
# compute primal
USVᴴ = Mooncake.primal(USVᴴ_dUSVᴴ)
dUSVᴴ = Mooncake.tangent(USVᴴ_dUSVᴴ)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
$f(A, USVᴴ, alg_dalg.primal; kwargs...)
# update tangents
U_, S_, Vᴴ_ = USVᴴ
dU_, dS_, dVᴴ_ = dUSVᴴ
U, dU = arrayify(U_, dU_)
S, dS = arrayify(S_, dS_)
Vᴴ, dVᴴ = arrayify(Vᴴ_, dVᴴ_)
minmn = min(size(A)...)
if ($f == svd_compact!) # compact
svd_pushforward!(dA, A, (U, S, Vᴴ), (dU, dS, dVᴴ); kwargs...)
else # full
vU = view(U, :, 1:minmn)
vS = view(S, 1:minmn, 1:minmn)
vVᴴ = view(Vᴴ, 1:minmn, :)
vdU = view(dU, :, 1:minmn)
vdS = view(dS, 1:minmn, 1:minmn)
vdVᴴ = view(dVᴴ, 1:minmn, :)
svd_pushforward!(dA, A, (vU, vS, vVᴴ), (vdU, vdS, vdVᴴ); kwargs...)
end
return USVᴴ_dUSVᴴ
end
end
end
@is_primitive Mooncake.DefaultCtx Mooncake.ForwardMode Tuple{typeof(MatrixAlgebraKit.svd_vals!), AbstractMatrix, AbstractVector, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.frule!!(::Dual{<:typeof(MatrixAlgebraKit.svd_vals!)}, A_dA::Dual, S_dS::Dual, alg_dalg::Dual; kwargs...)
# compute primal
S_ = Mooncake.primal(S_dS)
dS_ = Mooncake.tangent(S_dS)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
U, nS, Vᴴ = svd_compact(A, Mooncake.primal(alg_dalg); kwargs...)
# update tangent
S, dS = arrayify(S_, dS_)
copyto!(dS, diag(real.(Vᴴ * dA' * U)))
copyto!(S, diagview(nS))
dA .= zero(eltype(dA))
return Mooncake.Dual(nS.diag, dS)
end
@is_primitive Mooncake.DefaultCtx Mooncake.ReverseMode Tuple{typeof(MatrixAlgebraKit.svd_vals!), AbstractMatrix, AbstractVector, MatrixAlgebraKit.AbstractAlgorithm}
function Mooncake.rrule!!(::CoDual{<:typeof(MatrixAlgebraKit.svd_vals!)}, A_dA::CoDual, S_dS::CoDual, alg_dalg::CoDual; kwargs...)
# compute primal
S_ = Mooncake.primal(S_dS)
dS_ = Mooncake.tangent(S_dS)
A_ = Mooncake.primal(A_dA)
dA_ = Mooncake.tangent(A_dA)
A, dA = arrayify(A_, dA_)
S, dS = arrayify(S_, dS_)
U, nS, Vᴴ = svd_compact(A, Mooncake.primal(alg_dalg); kwargs...)
S .= diagview(nS)
dS .= zero(eltype(S))
function dsvd_vals_adjoint(::Mooncake.NoRData)
dA .= U * Diagonal(dS) * Vᴴ
return Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData(), Mooncake.NoRData()
end
return S_dS, dsvd_vals_adjoint
end
end