convert AbstractVector to StridedVector in mul!?

[dlfivefifty]

Should calling lmul! with something that's not a StridedArray error out like this?

julia> n = 10; F = FFTW.plan_r2r(randn(n), FFTW.REDFT00)
FFTW r2r REDFT00 plan for 10-element array of Float64
(redft00e-r2hc-pad-10
  (rdft-ct-dit/3
    (hc2hc-direct-3/4 "hf_3"
      (rdft-r2hc-direct-r2c-3 "r2cf_3")
      (rdft-r2hc01-direct-r2c-3 "r2cfII_3"))
    (rdft-r2hc-directbuf/10-r2c-6-x3 "r2cf_6"))
  (rdft-rank0-iter-ci/10))

julia> x = 1:n;

julia> F*x
10-element Vector{Float64}:
  99.0
 -33.16343747752636
   0.0
  -4.0
   0.0
  -1.7040881910418477
   0.0
  -1.1324743314317942
   0.0
  -1.0

julia> mul!(similar(1.0x),F,x)
ERROR: MethodError: no method matching mul!(::Vector{Float64}, ::FFTW.r2rFFTWPlan{Float64, (3,), false, 1, UnitRange{Int64}}, ::UnitRange{Int64}, ::Bool, ::Bool)
Closest candidates are:
  mul!(::AbstractVector{T} where T, ::Union{Bidiagonal, SymTridiagonal, Tridiagonal}, ::AbstractVector{T} where T, ::Number, ::Number) at /Users/sheehanolver/Projects/julia-1.6/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/bidiag.jl:398
  mul!(::AbstractVecOrMat{T} where T, ::Union{Bidiagonal, SymTridiagonal, Tridiagonal}, ::AbstractVecOrMat{T} where T, ::Number, ::Number) at /Users/sheehanolver/Projects/julia-1.6/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/bidiag.jl:400
  mul!(::AbstractVector{T} where T, ::Transpose{var"#s832", var"#s831"} where {var"#s832", var"#s831"<:Diagonal}, ::AbstractVector{T} where T, ::Number, ::Number) at /Users/sheehanolver/Projects/julia-1.6/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/diagonal.jl:322
  ...
Stacktrace:
 [1] mul!(C::Vector{Float64}, A::FFTW.r2rFFTWPlan{Float64, (3,), false, 1, UnitRange{Int64}}, B::UnitRange{Int64})
   @ LinearAlgebra ~/Projects/julia-1.6/usr/share/julia/stdlib/v1.6/LinearAlgebra/src/matmul.jl:275
 [2] top-level scope
   @ REPL[11]:1