Fix sparse mul!

Author: amontoison

src/sparse/interfaces.jl

@@ -11,7 +11,7 @@ Base.:(\)(adjA::Adjoint{T, LowerTriangular{T, S}},B::CuMatrix{T}) where {T<:Blas
 
 LinearAlgebra.mul!(C::CuVector{T},A::CuSparseMatrix,B::CuVector) where {T} = mv!('N',one(T),A,B,zero(T),C,'O')
 LinearAlgebra.mul!(C::CuVector{T},transA::Transpose{<:Any,<:CuSparseMatrix},B::CuVector) where {T} = mv!('T',one(T),parent(transA),B,zero(T),C,'O')
-LinearAlgebra.mul!(C::CuVector{T},adjA::Adjoint{<:Any,<:CuSparseMatrix},B::CuVector) where {T} = mv!('C',one(T),parent(transA),B,zero(T),C,'O')
+LinearAlgebra.mul!(C::CuVector{T},adjA::Adjoint{<:Any,<:CuSparseMatrix},B::CuVector) where {T} = mv!('C',one(T),parent(adjA),B,zero(T),C,'O')
 LinearAlgebra.mul!(C::CuVector{T},A::HermOrSym{T,<:CuSparseMatrix{T}},B::CuVector{T}) where T = mv!('N',one(T),A,B,zero(T),C,'O')
 LinearAlgebra.mul!(C::CuVector{T},transA::Transpose{<:Any, <:HermOrSym{T,<:CuSparseMatrix{T}}},B::CuVector{T}) where {T} = mv!('T',one(T),parent(transA),B,zero(T),C,'O')
 LinearAlgebra.mul!(C::CuVector{T},adjA::Adjoint{<:Any, <:HermOrSym{T,<:CuSparseMatrix{T}}},B::CuVector{T}) where {T} = mv!('C',one(T),parent(adjA),B,zero(T),C,'O')

test/sparse.jl

@@ -2006,4 +2006,50 @@ end
     end
 end
 
+@testset "mul!" begin
+    for elty in [Float32,Float64,ComplexF32,ComplexF64]
+        A = sparse(rand(elty,m,m))
+        x = rand(elty,m)
+        y = rand(elty,m)
+        @testset "csr" begin
+            d_x  = CuArray(x)
+            d_y  = CuArray(y)
+            d_A  = CuSparseMatrixCSR(A)
+            d_Aᵀ = transpose(d_A)
+            d_Aᴴ = adjoint(d_A)
+            CUSPARSE.mul!(d_y, d_A, d_x)
+            h_y = collect(d_y)
+            z = A * x
+            @test z ≈ h_y
+            CUSPARSE.mul!(d_y, d_Aᵀ, d_x)
+            h_y = collect(d_y)
+            z = transpose(A) * x
+            @test z ≈ h_y
+            CUSPARSE.mul!(d_y, d_Aᴴ, d_x)
+            h_y = collect(d_y)
+            z = adjoint(A) * x
+            @test z ≈ h_y
+        end
+        @testset "csc" begin
+            d_x = CuArray(x)
+            d_y = CuArray(y)
+            d_A = CuSparseMatrixCSC(A)
+            d_Aᵀ = transpose(d_A)
+            d_Aᴴ = adjoint(d_A)
+            CUSPARSE.mul!(d_y, d_A, d_x)
+            h_y = collect(d_y)
+            z = A * x
+            @test z ≈ h_y
+            CUSPARSE.mul!(d_y, d_Aᵀ, d_x)
+            h_y = collect(d_y)
+            z = transpose(A) * x
+            @test z ≈ h_y
+            CUSPARSE.mul!(d_y, d_Aᴴ, d_x)
+            h_y = collect(d_y)
+            z = adjoint(A) * x
+            @test z ≈ h_y
+        end
+    end
+end
+
 end