Remove incorrect sensitivities

JuliaDiff · May 10, 2019 · 98c9999 · 98c9999
1 parent 433b25e
commit 98c9999
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Showing 2 changed files with 2 additions and 60 deletions.
diff --git a/src/rules/linalg/dense.jl b/src/rules/linalg/dense.jl
@@ -78,66 +78,12 @@ const BINARY_LINALG_OPS = [
     (*, AbstractArray, AbstractArray,
         :(Ȳ * B'),
         :(A' * Ȳ)),
-    (*, Transpose, AbstractArray,
-        :(B * transpose(Ȳ)),
-        :(A * Ȳ)),
-    (*, AbstractArray, Transpose,
-        :(Ȳ * B),
-        :(transpose(Ȳ) * A)),
-    (*, Transpose, Transpose,
-        :(transpose(B) * transpose(Ȳ)),
-        :(transpose(Ȳ) * transpose(A))),
-    (*, Adjoint, AbstractArray,
-        :(B * transpose(Ȳ)),
-        :(A * Ȳ)),
-    (*, AbstractArray, Adjoint,
-        :(Ȳ * B),
-        :(Ȳ' * A)),
-    (*, Adjoint, Adjoint,
-        :(B' * Ȳ'),
-        :(Ȳ' * A')),
     (/, AbstractArray, AbstractArray,
         :(Ȳ / transpose(B)),
         :(-transpose(Y) * (Ȳ / transpose(B)))),
-    (/, Transpose, AbstractArray,
-        :(B \ transpose(Ȳ)),
-        :(-transpose(Y) * (Ȳ / transpose(B)))),
-    (/, AbstractArray, Transpose,
-        :(Ȳ / B),
-        :(-(transpose(B) \ transpose(Ȳ)) * Y)),
-    (/, Transpose, Transpose,
-        :(transpose(B) \ transpose(Ȳ)),
-        :(-(transpose(B) \ transpose(Ȳ)) * Y)),
-    (/, Adjoint, AbstractArray,
-        :(B \ Ȳ'),
-        :(-Y' * (Ȳ / B'))),
-    (/, AbstractArray, Adjoint,
-        :(Ȳ / B),
-        :(-(transpose(B) \ transpose(Ȳ)) * Y)),
-    (/, Adjoint, Adjoint,
-        :(B' \ Ȳ'),
-        :(-(B' \ Ȳ') * Y)),
     (\, AbstractArray, AbstractArray,
         :(-(transpose(A) \ Ȳ) * transpose(Y)),
         :(transpose(A) \ Ȳ)),
-    (\, Transpose, AbstractArray,
-        :(-Y * transpose(A \ Ȳ)),
-        :(A \ Ȳ)),
-    (\, AbstractArray, Transpose,
-        :(-transpose(transpose(Ȳ) / A) * transpose(Y)),
-        :(transpose(Ȳ) / A)),
-    (\, Transpose, Transpose,
-       :(-Y * (transpose(Ȳ) / transpose(A))),
-       :(transpose(Ȳ) / transpose(A))),
-    (\, Adjoint, AbstractArray,
-        :(-Y * (A \ Ȳ)'),
-        :(A \ Ȳ)),
-    (\, AbstractArray, Adjoint,
-        :(-(Ȳ' / A)' * Y),
-        :(Ȳ' / A)),
-    (\, Adjoint, Adjoint,
-        :(-Y * (Ȳ' / A')),
-        :(Ȳ' / A')),
     #(norm, AbstractArray, Number,
     #    :(Ȳ .* Y^(1 - B) .* abs.(A).^B ./ A),
     #    :(Ȳ * (Y^(1 - B) * sum(abs.(A).^B .* log.(abs.(A))) - Y * log(Y)) / B)),

diff --git a/test/rules/linalg/dense.jl b/test/rules/linalg/dense.jl
@@ -3,10 +3,6 @@ function generate_well_conditioned_matrix(rng, N)
     return A * A' + I
 end
 
-typewrap(::Type{Adjoint}, X) = adjoint(X)
-typewrap(::Type{Transpose}, X) = transpose(X)
-typewrap(::Type, X) = X
-
 @testset "linalg" begin
     @testset "sum" begin
         @testset "Vector" begin
@@ -77,8 +73,8 @@ typewrap(::Type, X) = X
     @testset "$f(::$TA, ::$TB)" for (f, TA, TB, _, _) in ChainRules.BINARY_LINALG_OPS
         rng = MersenneTwister(123456)
         n = 5
-        A = typewrap(TA, randn(rng, n, n))
-        B = typewrap(TB, randn(rng, n, n))
+        A = randn(rng, n, n)
+        B = randn(rng, n, n)
         Ȳ = randn(rng, n, n)
         rrule_test(f, Ȳ, (A, randn(rng, n, n)), (B, randn(rng, n, n)))
     end