Force imfilter to use Algorithm.FIR doesn't work

Hello,

I was trying to force imfilter to use either Algorithm.FIR or Algorithm.FFT and wasn't able to do so. Can anyone help or tell me what I'm doing wrong? Is it not possible to use a factored kernel?

Relevant docs: https://juliaimages.org/latest/function_reference/#Linear-filtering-1

Minimal example:

using ImageFiltering


img = rand(50,50)
alg = Algorithm.FIR
factor = ImageFiltering.centered(ones(13))
factored_ker = kernelfactors((factor, factor))

# works
imfilter(img, factored_ker, "symmetric")

# breaks
imfilter(img, factored_ker, "symmetric", alg)

ERROR: MethodError: no method matching imfilter!(::Array{Float64,2}, ::Array{Float64,2}, ::Tuple{ImageFiltering.KernelFactors.ReshapedOneD{Float64,2,0,OffsetArrays.OffsetArray{Float64,1,Array{Float64,1}}},ImageFiltering.KernelFactors.ReshapedOneD{Float64,2,1,OffsetArrays.OffsetArray{Float64,1,Array{Float64,1}}}}, ::Pad{0}, ::Type{ImageFiltering.Algorithm.FIR})
Closest candidates are:
  imfilter!(::AbstractArray, ::AbstractArray, ::Union{ImageFiltering.Kernel.Laplacian, Union{ImageFiltering.KernelFactors.IIRFilter{T}, AbstractArray{T,N} where N, ImageFiltering.KernelFactors.ReshapedOneD{T,N,Npre,V} where V<:(AbstractArray{T,1} where T) where Npre where N, ImageFiltering.KernelFactors.ReshapedOneD{T,N,Npre,V} where V<:ImageFiltering.KernelFactors.IIRFilter where Npre where N} where T}, ::Any...) at /Users/MrTrololord/.julia/packages/ImageFiltering/jhBno/src/imfilter.jl:581
  imfilter!(::AbstractArray, ::AbstractArray, ::Tuple, ::AbstractString, ::Any...) at /Users/MrTrololord/.julia/packages/ImageFiltering/jhBno/src/imfilter.jl:597
  imfilter!(::AbstractArray, ::AbstractArray, ::Tuple, ::ImageFiltering.AbstractBorder) at /Users/MrTrololord/.julia/packages/ImageFiltering/jhBno/src/imfilter.jl:606
  ...
Stacktrace:
 [1] imfilter at /Users/MrTrololord/.julia/packages/ImageFiltering/jhBno/src/imfilter.jl:27 [inlined]
 [2] imfilter(::Type{Float64}, ::Array{Float64,2}, ::Tuple{ImageFiltering.KernelFactors.ReshapedOneD{Float64,2,0,OffsetArrays.OffsetArray{Float64,1,Array{Float64,1}}},ImageFiltering.KernelFactors.ReshapedOneD{Float64,2,1,OffsetArrays.OffsetArray{Float64,1,Array{Float64,1}}}}, ::String, ::Type) at /Users/MrTrololord/.julia/packages/ImageFiltering/jhBno/src/imfilter.jl:22
 [3] imfilter(::Array{Float64,2}, ::Tuple{ImageFiltering.KernelFactors.ReshapedOneD{Float64,2,0,OffsetArrays.OffsetArray{Float64,1,Array{Float64,1}}},ImageFiltering.KernelFactors.ReshapedOneD{Float64,2,1,OffsetArrays.OffsetArray{Float64,1,Array{Float64,1}}}}, ::String, ::Type) at /Users/MrTrololord/.julia/packages/ImageFiltering/jhBno/src/imfilter.jl:5
 [4] top-level scope at REPL[11]:1
 [5] eval(::Module, ::Any) at ./boot.jl:330
 [6] eval_user_input(::Any, ::REPL.REPLBackend) at /Users/julia/buildbot/worker/package_macos64/build/usr/share/julia/stdlib/v1.3/REPL/src/REPL.jl:86
 [7] run_backend(::REPL.REPLBackend) at /Users/MrTrololord/.julia/packages/Revise/XFtoQ/src/Revise.jl:1162
 [8] top-level scope at none:0

Start with the minimal Julia example and the imfilter! method candidates shown in src/imfilter.jl around lines 581, 597, and 606. Check how factored kernels are dispatched when Algorithm.FIR or Algorithm.FFT is supplied, then run the example to verify the behavior. Done means the requested algorithm works with the factored kernel or the limitation is clearly documented.