Fix \ for Dual

.JuliaFormatter.toml

@@ -1,4 +1,5 @@
 style = "blue"
+always_use_return = true
 align_assignment = true
 align_struct_field = true
 align_conditional = true

.github/workflows/CI.yml

@@ -25,7 +25,7 @@ jobs:
         version:
           - 'lts'
           - '1'
-          - 'pre'
+          # - 'pre'
         group:
           - Core
           - Benchmarks

CHANGELOG.md

@@ -1,5 +1,8 @@
 # SparseConnectivityTracer.jl
 
+## Version `v0.6.16`
+* ![Feature][badge-feature] Add more matrix division methods ([#236])
+
 ## Version `v0.6.15`
 * ![Feature][badge-feature] Add stable API for tracer type via `jacobian_eltype` and `hessian_eltype` ([#233])
 
@@ -109,6 +112,7 @@
 [badge-maintenance]: https://img.shields.io/badge/maintenance-gray.svg
 [badge-docs]: https://img.shields.io/badge/docs-orange.svg
 
+[#236]: https://github.com/adrhill/SparseConnectivityTracer.jl/pull/236
 [#233]: https://github.com/adrhill/SparseConnectivityTracer.jl/pull/233
 [#232]: https://github.com/adrhill/SparseConnectivityTracer.jl/pull/232
 [#231]: https://github.com/adrhill/SparseConnectivityTracer.jl/pull/231

Project.toml

@@ -1,7 +1,7 @@
 name = "SparseConnectivityTracer"
 uuid = "9f842d2f-2579-4b1d-911e-f412cf18a3f5"
 authors = ["Adrian Hill <[email protected]>"]
-version = "0.6.15"
+version = "0.6.16-DEV"
 
 [deps]
 ADTypes = "47edcb42-4c32-4615-8424-f2b9edc5f35b"

src/overloads/arrays.jl

@@ -115,11 +115,57 @@ for (Tx, TA, Ty) in Iterators.filter(
 end
 
 ## Division
+function LinearAlgebra.:\(A::AbstractMatrix{T}, B::AbstractMatrix) where {T<:AbstractTracer}
+    if size(A, 1) != size(B, 1)
+        throw(DimensionMismatch("arguments must have the same number of rows"))
+    end
+    t = second_order_or(A)
+    return Fill(t, size(A, 2), size(B, 2))
+end
+function LinearAlgebra.:\(A::AbstractMatrix{T}, B::AbstractVector) where {T<:AbstractTracer}
+    if size(A, 1) != size(B, 1)
+        throw(DimensionMismatch("arguments must have the same number of rows"))
+    end
+    t = second_order_or(A)
+    return Fill(t, size(A, 2))
+end
+
+function LinearAlgebra.:\(A::AbstractMatrix, B::AbstractMatrix{T}) where {T<:AbstractTracer}
+    if size(A, 1) != size(B, 1)
+        throw(DimensionMismatch("arguments must have the same number of rows"))
+    end
+    t = second_order_or(B)
+    return Fill(t, size(A, 2), size(B, 2))
+end
+function LinearAlgebra.:\(A::AbstractMatrix, B::AbstractVector{T}) where {T<:AbstractTracer}
+    if size(A, 1) != size(B, 1)
+        throw(DimensionMismatch("arguments must have the same number of rows"))
+    end
+    t = second_order_or(B)
+    return Fill(t, size(A, 2))
+end
+
+function LinearAlgebra.:\(
+    A::AbstractMatrix{T}, B::AbstractMatrix{T}
+) where {T<:AbstractTracer}
+    if size(A, 1) != size(B, 1)
+        throw(DimensionMismatch("arguments must have the same number of rows"))
+    end
+    tA = second_order_or(A)
+    tB = second_order_or(B)
+    t = second_order_or(tA, tB)
+    return Fill(t, size(A, 2), size(B, 2))
+end
 function LinearAlgebra.:\(
-    A::AbstractMatrix{T}, B::AbstractVecOrMat
+    A::AbstractMatrix{T}, B::AbstractVector{T}
 ) where {T<:AbstractTracer}
-    Ainv = LinearAlgebra.pinv(A)
-    return Ainv * B
+    if size(A, 1) != size(B, 1)
+        throw(DimensionMismatch("arguments must have the same number of rows"))
+    end
+    tA = second_order_or(A)
+    tB = second_order_or(B)
+    t = second_order_or(tA, tB)
+    return Fill(t, size(A, 2))
 end
 
 ## Exponential
@@ -187,6 +233,27 @@ function LinearAlgebra.logabsdet(A::AbstractMatrix{D}) where {D<:Dual}
     t1, t2 = LinearAlgebra.logabsdet(tracers)
     return (D(p1, t1), D(p2, t2))
 end
+function LinearAlgebra.:\(A::AbstractMatrix{<:Dual}, B::AbstractVector)
+    primals, tracers = split_dual_array(A)
+    p = primals \ B
+    t = tracers \ B
+    return Dual.(p, t)
+end
+function LinearAlgebra.:\(A::AbstractMatrix, B::AbstractVector{D}) where {D<:Dual}
+    primals, tracers = split_dual_array(B)
+    p = A \ primals
+    t = A \ tracers
+    return Dual.(p, t)
+end
+function LinearAlgebra.:\(
+    A::AbstractMatrix{D1}, B::AbstractVector{D2}
+) where {D1<:Dual,D2<:Dual}
+    A_primals, A_tracers = split_dual_array(A)
+    B_primals, B_tracers = split_dual_array(B)
+    p = A_primals \ B_primals
+    t = A_tracers \ B_tracers
+    return Dual.(p, t)
+end
 
 #==============#
 # SparseArrays #

test/Project.toml

@@ -27,3 +27,8 @@ SimpleDiffEq = "05bca326-078c-5bf0-a5bf-ce7c7982d7fd"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+
+[compat]
+Aqua = "0.8"
+JuliaFormatter = "1"
+JET = "0.9"

test/linting.jl

@@ -13,6 +13,8 @@ using NNlib: NNlib
 using SpecialFunctions: SpecialFunctions
 
 @testset "Code formatting" begin
+    # Using JuliaFormatter v1 (`add JuliaFormatter@1`)
+    # https://github.com/domluna/JuliaFormatter.jl/issues/909
     @info "...with JuliaFormatter.jl"
     @test JuliaFormatter.format(SparseConnectivityTracer; verbose=false, overwrite=false)
 end
@@ -27,9 +29,14 @@ end
     )
 end
 
-@testset "JET tests" begin
-    @info "...with JET.jl"
-    JET.test_package(SparseConnectivityTracer; target_defined_modules=true)
+if VERSION < v"1.12"
+    # JET v0.9  is compatible with Julia <1.12
+    # JET v0.10 is compatible with Julia ≥1.12
+    # TODO: Update when 1.12 releases
+    @testset "JET tests" begin
+        @info "...with JET.jl"
+        JET.test_package(SparseConnectivityTracer; target_defined_modules=true)
+    end
 end
 
 @testset "ExplicitImports tests" begin

test/test_arrays.jl

@@ -1,7 +1,13 @@
 import SparseConnectivityTracer as SCT
 using SparseConnectivityTracer
 using SparseConnectivityTracer:
-    GradientTracer, IndexSetGradientPattern, isemptytracer, MissingPrimalError
+    GradientTracer,
+    Dual,
+    IndexSetGradientPattern,
+    isemptytracer,
+    MissingPrimalError,
+    split_dual_array,
+    tracer
 using Test
 
 using LinearAlgebra: Symmetric, Diagonal, diagind
@@ -394,12 +400,73 @@ end
     t2 = idx2tracer([2, 4])
     t3 = idx2tracer([8, 9])
     t4 = idx2tracer([8, 9])
-    A = [t1 t2; t3 t4]
-    s_out = idx2set([1, 2, 3, 4, 8, 9])
-
-    x = rand(2)
-    b = A \ x
-    @test all(t -> sameidx(t, s_out), b)
+    A_t = [t1 t2; t3 t4]
+    A_p = rand(2, 2)
+
+    t5 = idx2tracer([6])
+    t6 = idx2tracer([5, 7])
+    x_t = [t5; t6]
+    x_p = rand(2)
+
+    set_tp = set_A = idx2set([1, 2, 3, 4, 8, 9])
+    set_pt = set_x = idx2set([5, 6, 7])
+    set_tt = union(set_tp, set_pt)
+
+    @testset "Global" begin
+        b_pp = A_p \ x_p
+        @testset "Tracer-Primal" begin
+            b_tp = A_t \ x_p
+            @test size(b_tp) == size(b_pp)
+            @test all(t -> sameidx(t, set_tp), b_tp)
+        end
+        @testset "Primal-Tracer" begin
+            b_pt = A_p \ x_t
+            @test size(b_pt) == size(b_pp)
+            @test all(t -> sameidx(t, set_pt), b_pt)
+        end
+        @testset "Tracer-Tracer" begin
+            b_tt = A_t \ x_t
+            @test size(b_tt) == size(b_pp)
+            @test all(t -> sameidx(t, set_tt), b_tt)
+        end
+    end
+    @testset "Local" begin
+        @testset "$P" for P in (Float32, BigFloat)
+            # https://github.com/adrhill/SparseConnectivityTracer.jl/issues/235
+
+            A_p = rand(P, 2, 2)
+            A_d = Dual.(A_p, A_t)
+            @test size(A_d) == size(A_p)
+
+            x_p = rand(P, 2)
+            x_d = Dual.(x_p, x_t)
+            @test size(x_d) == size(x_p)
+
+            b_pp = A_p \ x_p
+
+            @testset "Dual-Primal" begin
+                b_dp = A_d \ x_p
+                primals_dp, _ = split_dual_array(b_dp)
+                @test size(b_dp) == size(b_pp)
+                @test primals_dp == b_pp
+                @test all(d -> sameidx(tracer(d), set_tp), b_dp)
+            end
+            @testset "Primal-Dual" begin
+                b_pd = A_p \ x_d
+                primals_pd, _ = split_dual_array(b_pd)
+                @test size(b_pd) == size(b_pp)
+                @test primals_pd == b_pp
+                @test all(d -> sameidx(tracer(d), set_pt), b_pd)
+            end
+            @testset "Dual-Dual" begin
+                b_dd = A_d \ x_d
+                primals_dd, _ = split_dual_array(b_dd)
+                @test size(b_dd) == size(b_pp)
+                @test primals_dd == b_pp
+                @test all(d -> sameidx(tracer(d), set_tt), b_dd)
+            end
+        end
+    end
 end
 
 @testset "Dot" begin