backport #571

Project.toml

@@ -1,6 +1,6 @@
 name = "ChainRules"
 uuid = "082447d4-558c-5d27-93f4-14fc19e9eca2"
-version = "1.21" 
+version = "1.21.1"
 
 [deps]
 ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
@@ -11,7 +11,7 @@ RealDot = "c1ae055f-0cd5-4b69-90a6-9a35b1a98df9"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
-ChainRulesCore = "1.11.5"
+ChainRulesCore = "1.12"
 ChainRulesTestUtils = "1"
 Compat = "3.35"
 FiniteDifferences = "0.12.20"

src/ChainRules.jl

@@ -47,6 +47,7 @@ include("rulesets/LinearAlgebra/matfun.jl")
 include("rulesets/LinearAlgebra/structured.jl")
 include("rulesets/LinearAlgebra/symmetric.jl")
 include("rulesets/LinearAlgebra/factorization.jl")
+include("rulesets/LinearAlgebra/uniformscaling.jl")
 
 include("rulesets/Random/random.jl")
 

src/rulesets/LinearAlgebra/uniformscaling.jl

@@ -0,0 +1,94 @@
+#####
+##### constructor
+#####
+
+function rrule(::Type{T}, x::Number) where {T<:UniformScaling}
+    UniformScaling_back(dx) = (NoTangent(), ProjectTo(x)(unthunk(dx).λ))
+    return T(x), UniformScaling_back
+end
+
+#####
+##### `+`
+#####
+
+function frule((_, Δx, ΔJ), ::typeof(+), x::AbstractMatrix, J::UniformScaling)
+    return x + J, Δx + (zero(J) + ΔJ)  # This (0 + ΔJ) allows for ΔJ::Tangent{UniformScaling}
+end
+
+function frule((_, ΔJ, Δx), ::typeof(+), J::UniformScaling, x::AbstractMatrix)
+    return J + x, (zero(J) + ΔJ) + Δx
+end
+
+function rrule(::typeof(+), x::AbstractMatrix, J::UniformScaling)
+    project_x = ProjectTo(x)
+    project_J = ProjectTo(J)
+    function plus_back(dy)
+        dx = unthunk(dy)
+        return (NoTangent(), project_x(dx), project_J(I * tr(dx)))
+    end
+    return x + J, plus_back
+end
+
+function rrule(::typeof(+), J::UniformScaling, x::AbstractMatrix)
+    y, back = rrule(+, x, J)
+    function plus_back_2(dy)
+        df, dx, dJ = back(dy)
+        return (df, dJ, dx)
+    end
+    return y, plus_back_2
+end
+
+#####
+##### `-`
+#####
+
+function frule((_, Δx, ΔJ), ::typeof(-), x::AbstractMatrix, J::UniformScaling)
+    return x - J, Δx - (zero(J) + ΔJ)
+end
+
+function frule((_, ΔJ, Δx), ::typeof(-), J::UniformScaling, x::AbstractMatrix)
+    return J - x, (zero(J) + ΔJ) - Δx
+end
+
+function rrule(::typeof(-), x::AbstractMatrix, J::UniformScaling)
+    y, back = rrule(+, x, -J)
+    project_J = ProjectTo(J)
+    function minus_back_1(dy)
+        df, dx, dJ = back(dy)
+        return (df, dx, project_J(-dJ))  # re-project as -true isa Int
+    end
+    return y, minus_back_1
+end
+
+
+function rrule(::typeof(-), J::UniformScaling, x::AbstractMatrix)
+    project_x = ProjectTo(x)
+    project_J = ProjectTo(J)
+    function minus_back_2(dy)
+        dx = -unthunk(dy)
+        return (NoTangent(), project_J(-tr(dx) * I), project_x(dx))
+    end
+    return J - x, minus_back_2
+end
+
+#####
+##### `Matrix`
+#####
+
+function rrule(::Type{T}, I::UniformScaling{<:Bool}, (m, n)) where {T<:AbstractMatrix}
+    Matrix_back_I(dy) = (NoTangent(), NoTangent(), NoTangent())
+    return T(I, m, n), Matrix_back_I
+end
+
+function rrule(::Type{T}, J::UniformScaling, (m, n)) where {T<:AbstractMatrix}
+    project_J = ProjectTo(J)
+    function Matrix_back_I(dy)
+        dJ = if m == n
+            project_J(I * tr(unthunk(dy)))
+        else
+            project_J(I * sum(diag(unthunk(dy))))
+        end
+        return (NoTangent(), dJ, NoTangent())
+    end
+    return T(J, m, n), Matrix_back_I
+end

test/rulesets/LinearAlgebra/uniformscaling.jl

@@ -0,0 +1,35 @@
+@testset "UniformScaling rules" begin
+    @testset "constructor" begin
+        test_rrule(UniformScaling, rand())
+    end
+
+    @testset "+" begin
+        # Forward
+        test_frule(+, rand(3,3), I * rand(ComplexF64))
+        test_frule(+, I, rand(3,3))
+
+        # Reverse
+        test_rrule(+, rand(3,3), I)
+        test_rrule(+, rand(3,3), I * rand(ComplexF64))
+        test_rrule(+, I, rand(3,3))
+        test_rrule(+, I * rand(), rand(ComplexF64, 3,3))
+    end
+
+    @testset "-" begin
+        # Forward
+        test_frule(-, rand(3,3), I * rand(ComplexF64))
+        test_frule(-, I, rand(3,3))
+
+        # Reverse
+        test_rrule(-, rand(3,3), I)
+        test_rrule(-, rand(3,3), I * rand(ComplexF64))
+        test_rrule(-, I, rand(3,3))
+        test_rrule(-, I * rand(), rand(ComplexF64, 3,3))
+    end
+
+    @testset "Matrix" begin
+        test_rrule(Matrix, I, (2, 2))
+        test_rrule(Matrix{ComplexF64}, rand()*I, (3, 3))
+        test_rrule(Matrix, rand(ComplexF64)*I, (2, 4))
+    end
+end

test/runtests.jl

@@ -70,6 +70,7 @@ end
     include_test("rulesets/LinearAlgebra/factorization.jl")
     include_test("rulesets/LinearAlgebra/blas.jl")
     include_test("rulesets/LinearAlgebra/lapack.jl")
+    include_test("rulesets/LinearAlgebra/uniformscaling.jl")
 
     println()