JuliaSIMD / JuliaSIMD/LoopVectorization.jl

Nested loop UndefVarError

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Description

Hey, thanks for the great library!

I'm not sure if this is a bug, but the following code doesn't work for me for no obvious reason:
```julia
function logmean(samples, weights)
logμ = zero(first(samples))
n = length(samples)
k = length(logμ)
@turbo for i in 1:n
for j in 1:k
logμ[j] = logμ[j] + weights[i] * log(samples[i][j])
end
end
return logμ
end
```

```julia
logmean([ [ 1.0, 1.0 ], [ 1.0, 1.0 ] ], [ 0.5, 0.5 ])
UndefVarError: i not defined

Stacktrace:
[1] logmean(samples::Vector{Vector{Float64}}, weights::Vector{Float64})
@ Main ./In[15]:5
[2] top-level scope
@ In[16]:1
[3] eval
@ ./boot.jl:360 [inlined]
[4] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)
@ Base ./loading.jl:1116
```

The following version works like a charm:
```julia
function logmean(samples, weights)
logμ = zero(first(samples))
n = length(samples)
k = length(logμ)
for i in 1:n
@turbo for j in 1:k
logμ[j] = logμ[j] + weights[i] * log(samples[i][j])
end
end
return logμ
end
```

I thought `LoopVectorization.jl` should be able to handle nested loops? Or are there some special requirements for that?

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by reproducing the nested-loop example using the @turbo macro, then inspect the macro's handling of loop-variable scope and nesting. Done means the shown nested version runs without UndefVarError while preserving the working outer-loop arrangement's result.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
Domain
performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
42/100

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