Fix periodic kernel AD

src/KernelFunctions.jl

@@ -48,7 +48,7 @@ export tensor, ⊗, compose
 
 using Compat
 using ChainRulesCore: ChainRulesCore, Tangent, ZeroTangent, NoTangent
-using ChainRulesCore: @thunk, InplaceableThunk
+using ChainRulesCore: @thunk, InplaceableThunk, ProjectTo, unthunk
 using CompositionsBase
 using Distances
 using FillArrays

src/chainrules.jl

@@ -112,15 +112,113 @@ end
 function ChainRulesCore.rrule(s::Sinus, x::AbstractVector, y::AbstractVector)
     d = x - y
     sind = sinpi.(d)
-    abs2_sind_r = abs2.(sind) ./ s.r
+    abs2_sind_r = abs2.(sind) ./ s.r .^ 2
     val = sum(abs2_sind_r)
-    gradx = twoπ .* cospi.(d) .* sind ./ (s.r .^ 2)
+    gradx = twoπ .* cospi.(d) .* sind ./ s.r .^ 2
     function evaluate_pullback(Δ::Any)
-        return (r=-2Δ .* abs2_sind_r,), Δ * gradx, -Δ * gradx
+        r̄ = -2Δ .* abs2_sind_r ./ s.r
+        s̄ = ChainRulesCore.Tangent{typeof(s)}(; r=r̄)
+        return s̄, Δ * gradx, -Δ * gradx
     end
     return val, evaluate_pullback
 end
 
+function ChainRulesCore.rrule(
+    ::typeof(Distances.pairwise), d::Sinus, x::AbstractMatrix; dims=2
+)
+    project_x = ProjectTo(x)
+    function pairwise_pullback(z̄)
+        Δ = unthunk(z̄)
+        n = size(x, dims)
+        x̄ = collect(zero(x))
+        r̄ = zero(d.r)
+        if dims == 1
+            for j in 1:n, i in 1:n
+                xi = view(x, i, :)
+                xj = view(x, j, :)
+                ds = twoπ .* Δ[i, j] .* sinpi.(xi .- xj) .* cospi.(xi .- xj) ./ d.r .^ 2
+                r̄ .-= 2 .* Δ[i, j] .* sinpi.(xi .- xj) .^ 2 ./ d.r .^ 3
+                x̄[i, :] += ds
+                x̄[j, :] -= ds
+            end
+        elseif dims == 2
+            for j in 1:n, i in 1:n
+                xi = view(x, :, i)
+                xj = view(x, :, j)
+                ds = twoπ .* Δ[i, j] .* sinpi.(xi .- xj) .* cospi.(xi .- xj) ./ d.r .^ 2
+                r̄ .-= 2 .* Δ[i, j] .* sinpi.(xi .- xj) .^ 2 ./ d.r .^ 3
+                x̄[:, i] += ds
+                x̄[:, j] -= ds
+            end
+        end
+        d̄ = ChainRulesCore.Tangent{typeof(d)}(; r=r̄)
+        return NoTangent(), d̄, @thunk(project_x(x̄))
+    end
+    return Distances.pairwise(d, x; dims), pairwise_pullback
+end
+
+function ChainRulesCore.rrule(
+    ::typeof(Distances.pairwise), d::Sinus, x::AbstractMatrix, y::AbstractMatrix; dims=2
+)
+    project_x = ProjectTo(x)
+    project_y = ProjectTo(y)
+    function pairwise_pullback(z̄)
+        Δ = unthunk(z̄)
+        n = size(x, dims)
+        m = size(y, dims)
+        x̄ = collect(zero(x))
+        ȳ = collect(zero(y))
+        r̄ = zero(d.r)
+        if dims == 1
+            for j in 1:m, i in 1:n
+                xi = view(x, i, :)
+                yj = view(y, j, :)
+                ds = twoπ .* Δ[i, j] .* sinpi.(xi .- yj) .* cospi.(xi .- yj) ./ d.r .^ 2
+                r̄ .-= 2 .* Δ[i, j] .* sinpi.(xi .- yj) .^ 2 ./ d.r .^ 3
+                x̄[i, :] += ds
+                ȳ[j, :] -= ds
+            end
+        elseif dims == 2
+            for j in 1:m, i in 1:n
+                xi = view(x, :, i)
+                yj = view(y, :, j)
+                ds = twoπ .* Δ[i, j] .* sinpi.(xi .- yj) .* cospi.(xi .- yj) ./ d.r .^ 2
+                r̄ .-= 2 .* Δ[i, j] .* sinpi.(xi .- yj) .^ 2 ./ d.r .^ 3
+                x̄[:, i] += ds
+                ȳ[:, j] -= ds
+            end
+        end
+        d̄ = ChainRulesCore.Tangent{typeof(d)}(; r=r̄)
+        return NoTangent(), d̄, @thunk(project_x(x̄)), @thunk(project_y(ȳ))
+    end
+    return Distances.pairwise(d, x, y; dims), pairwise_pullback
+end
+
+function ChainRulesCore.rrule(
+    ::typeof(Distances.colwise), d::Sinus, x::AbstractMatrix, y::AbstractMatrix
+)
+    project_x = ProjectTo(x)
+    project_y = ProjectTo(y)
+    function colwise_pullback(z̄)
+        Δ = unthunk(z̄)
+        n = size(x, 2)
+        x̄ = collect(zero(x))
+        ȳ = collect(zero(y))
+        r̄ = zero(d.r)
+        for i in 1:n
+            xi = view(x, :, i)
+            yi = view(y, :, i)
+            ds = twoπ .* Δ[i] .* sinpi.(xi .- yi) .* cospi.(xi .- yi) ./ d.r .^ 2
+            r̄ .-= 2 .* Δ[i] .* sinpi.(xi .- yi) .^ 2 ./ d.r .^ 3
+            x̄[:, i] += ds
+            ȳ[:, i] -= ds
+        end
+        d̄ = ChainRulesCore.Tangent{typeof(d)}(; r=r̄)
+        return NoTangent(), d̄, @thunk(project_x(x̄)), @thunk(project_y(ȳ))
+    end
+    return Distances.colwise(d, x, y), colwise_pullback
+end
+
 ## Reverse Rules for matrix wrappers
 
 function ChainRulesCore.rrule(::Type{<:ColVecs}, X::AbstractMatrix)

test/Project.toml

@@ -1,5 +1,7 @@
 [deps]
 AxisArrays = "39de3d68-74b9-583c-8d2d-e117c070f3a9"
+ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+ChainRulesTestUtils = "cdddcdb0-9152-4a09-a978-84456f9df70a"
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"

test/basekernels/periodic.jl

@@ -15,8 +15,6 @@
     TestUtils.test_interface(PeriodicKernel(; r=[0.9, 0.9]), ColVecs{Float64})
     TestUtils.test_interface(PeriodicKernel(; r=[0.8, 0.7]), RowVecs{Float64})
 
-    # test_ADs(r->PeriodicKernel(r =exp.(r)), log.(r), ADs = [:ForwardDiff, :ReverseDiff])
-    # Undefined adjoint for Sinus metric, and failing randomly for ForwardDiff and ReverseDiff
-    @test_broken false
+    test_ADs(r -> PeriodicKernel(; r=exp.(r)), log.(r))
     test_params(k, (r,))
 end

test/chainrules.jl

@@ -19,4 +19,23 @@
     compare_gradient(:Zygote, [x, y]) do xy
         KernelFunctions.Sinus(r)(xy[1], xy[2])
     end
+    @testset "rrules for Sinus(r=$r)" for r in (rand(3),)
+        dist = KernelFunctions.Sinus(r)
+        @testset "$type" for type in (Vector, SVector{3})
+            test_rrule(dist, type(rand(3)), type(rand(3)))
+        end
+        @testset "$type1, $type2" for type1 in (Matrix, SMatrix{3,2}),
+            type2 in (Matrix, SMatrix{3,4})
+
+            test_rrule(Distances.pairwise, dist, type1(rand(3, 2)); fkwargs=(dims=2,))
+            test_rrule(
+                Distances.pairwise,
+                dist,
+                type1(rand(3, 2)),
+                type2(rand(3, 4));
+                fkwargs=(dims=2,),
+            )
+            test_rrule(Distances.colwise, dist, type1(rand(3, 2)), type1(rand(3, 2)))
+        end
+    end
 end

test/runtests.jl

@@ -1,5 +1,7 @@
 using KernelFunctions
 using AxisArrays
+using ChainRulesCore
+using ChainRulesTestUtils
 using Distances
 using Documenter
 using Functors: functor