mul! failing for adjoint sparse matrices

[maximilian-gelbrecht]

MWE

using CuArrays
using SparseArrays
using LinearAlgebra

const n = 100

M = CuArray(diagm(0=>ones(n), 1=>-1*ones(n-1), -1=>-1*ones(n-1)))
M2 = sparse(M);
V = CuArray(rand(100));
adjoint(M2)*V

yields

UndefVarError: transA not defined

Stacktrace:
 [1] mul!(::CuArray{Float64,1,Nothing}, ::Adjoint{Float64,CuArrays.CUSPARSE.CuSparseMatrixCSR{Float64}}, ::CuArray{Float64,1,Nothing}) at /home/USERNAME/.julia/packages/CuArrays/A6GUx/src/sparse/interfaces.jl:14
 [2] *(::Adjoint{Float64,CuArrays.CUSPARSE.CuSparseMatrixCSR{Float64}}, ::CuArray{Float64,1,Nothing}) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.3/LinearAlgebra/src/matmul.jl:113
 [3] top-level scope at In[3]:1

just from inspecting the code, this seems to me like an obvious error in the code, or isn't it?

it is:

LinearAlgebra.mul!(C::CuVector{T},adjA::Adjoint{<:Any,<:CuSparseMatrix},B::CuVector) where {T} = mv!('C',one(T),parent(transA),B,zero(T),C,'O')

but it should be

LinearAlgebra.mul!(C::CuVector{T},adjA::Adjoint{<:Any,<:CuSparseMatrix},B::CuVector) where {T} = mv!('C',one(T),parent(adjA),B,zero(T),C,'O')

or is there more to it? It did not try it out yet.

[maleadt]

Seems like a trivial issue indeed, and we should also add a test for that code.