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Resolve mul!(::Matrix, ::Diagonal, ::Adjoint) ambiguity #27405

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Resolve mul!(::Matrix, ::Diagonal, ::Adjoint) ambiguity #27405

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7106c1a
Disambiguate mul!(::Matrix, ::Diagonal, ::Adjoint)
tkf Jun 3, 2018
c9b0de8
Disambiguate mul!(::Matrix, ::Adjoint{<:Any, <:Diagonal}, ::Adjoint)
tkf Jun 3, 2018
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5 changes: 5 additions & 0 deletions stdlib/LinearAlgebra/src/diagonal.jl
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Expand Up @@ -271,6 +271,11 @@ mul!(out::AbstractVector, A::Transpose{<:Any,<:Diagonal}, in::AbstractVector) =
mul!(out::AbstractMatrix, A::Diagonal, in::AbstractMatrix) = out .= A.diag .* in
mul!(out::AbstractMatrix, A::Adjoint{<:Any,<:Diagonal}, in::AbstractMatrix) = out .= adjoint.(A.parent.diag) .* in
mul!(out::AbstractMatrix, A::Transpose{<:Any,<:Diagonal}, in::AbstractMatrix) = out .= transpose.(A.parent.diag) .* in
mul!(out::AbstractMatrix, A::Adjoint{<:Any,<:Diagonal}, in::Adjoint{<:Any, <:AbstractMatrix}) = out .= adjoint.(A.parent.diag) .* in
mul!(out::AbstractMatrix, A::Transpose{<:Any,<:Diagonal}, in::Transpose{<:Any,<:AbstractMatrix}) = out .= transpose.(A.parent.diag) .* in

mul!(out::AbstractMatrix, A::Diagonal, in::Adjoint{<:Any,<:AbstractMatrix}) = out .= A.diag .* in
mul!(out::AbstractMatrix, A::Diagonal, in::Transpose{<:Any,<:AbstractMatrix}) = out .= A.diag .* in

# ambiguities with Symmetric/Hermitian
# RealHermSymComplex[Sym]/[Herm] only include Number; invariant to [c]transpose
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12 changes: 12 additions & 0 deletions stdlib/LinearAlgebra/test/diagonal.jl
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Expand Up @@ -176,6 +176,18 @@ srand(1)
@test (r = Matrix(D)' * UU ; mul!(UUU, adjoint(D), UU) ≈ r ≈ UUU)
@test (r = transpose(Matrix(D)) * UU ; mul!(UUU, transpose(D), UU) ≈ r ≈ UUU)

# Performance specialisations / ambiguity checks for A_mul_B*!
@test (r = Matrix(D) * UU' ; mul!(UUU, D, adjoint(UU)) ≈ r ≈ UUU)
@test (r = Matrix(D) * transpose(UU) ; mul!(UUU, D, transpose(UU)) ≈ r ≈ UUU)

# Performance specialisations / ambiguity checks for A*_mul_B*!
# Using non-lazy adjoint/transpose (so it's actually A_mul_B*!):
@test (r = Matrix(D') * UU' ; mul!(UUU, adjoint(D), adjoint(UU)) ≈ r ≈ UUU)
@test (r = Matrix(transpose(D)) * transpose(UU) ; mul!(UUU, transpose(D), transpose(UU)) ≈ r ≈ UUU)
# Using lazy Adjoint/Transpose:
@test (r = Matrix(D') * UU' ; mul!(UUU, Adjoint(D), adjoint(UU)) ≈ r ≈ UUU)
@test (r = Matrix(transpose(D)) * Transpose(UU) ; mul!(UUU, transpose(D), transpose(UU)) ≈ r ≈ UUU)

# make sure that mul!(A, {Adj|Trans}(B)) works with B as a Diagonal
VV = Array(D)
DD = copy(D)
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