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vmapreduce_bugreport.jl:
using LoopVectorization f(a) = (a, a) g(a, b) = let (q, w) = a, (e, r) = b (min(q, e), max(w, r)) end myminmax_mapreduce(x) = mapreduce(f, g, x) myminmax_vmapreduce(x) = vmapreduce(f, g, x) const inp = rand(1:9, 100) myminmax_mapreduce(inp) myminmax_vmapreduce(inp) nothing
$ julia -O3 --min-optlevel=3 -g 2 --threads 4 _ _ _ _(_)_ | Documentation: https://docs.julialang.org (_) | (_) (_) | _ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version 1.8.0 (2022-08-17) _/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release |__/ | julia> include("vmapreduce_bugreport.jl") ERROR: LoadError: MethodError: no method matching reduce_to_onevec(::typeof(g), ::Tuple{VectorizationBase.VecUnroll{3, 4, Int64, VectorizationBase.Vec{4, Int64}}, VectorizationBase.VecUnroll{3, 4, Int64, VectorizationBase.Vec{4, Int64}}}) Closest candidates are: reduce_to_onevec(::F, ::VectorizationBase.VecUnroll) where F at ~/.julia/packages/VectorizationBase/oCgEJ/src/VectorizationBase.jl:504 Stacktrace: [1] _vmapreduce @ ~/.julia/packages/LoopVectorization/aw6pf/src/simdfunctionals/mapreduce.jl:83 [inlined] [2] vmapreduce @ ~/.julia/packages/LoopVectorization/aw6pf/src/simdfunctionals/mapreduce.jl:62 [inlined] [3] myminmax_vmapreduce(x::Vector{Int64}) @ Main ~/vmapreduce_bugreport.jl:14 [4] top-level scope @ ~/vmapreduce_bugreport.jl:21 [5] include(fname::String) @ Base.MainInclude ./client.jl:476 [6] top-level scope @ REPL[1]:1 in expression starting at /home/nsajko/vmapreduce_bugreport.jl:21
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The code here shouldn't be that hard to read. You're welcome to try and tackle it.
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vmapreduce_bugreport.jl:
The text was updated successfully, but these errors were encountered: