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Remove @inbounds
in tuple iteration
#48260
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Keno
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to JuliaDiff/Diffractor.jl
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Jan 12, 2023
Similar to JuliaLang/julia#48260, this `@inbounds` hurts effects tainting.
Keno
added a commit
to JuliaDiff/Diffractor.jl
that referenced
this pull request
Jan 12, 2023
Similar to JuliaLang/julia#48260, this `@inbounds` hurts effects tainting.
Keno
added a commit
to JuliaDiff/Diffractor.jl
that referenced
this pull request
Jan 13, 2023
Similar to JuliaLang/julia#48260, this `@inbounds` hurts effects tainting.
aviatesk
approved these changes
Jan 13, 2023
Sigh, guess the final version of my PR wasn't actually enough to retain consitency here. I'll push an update. |
Guess the Lines 2198 to 2205 in 2ca0981
|
Yes. I have most of a fix, but something is breaking, so I'll have to resume in the morning. |
LLVM can prove this inbounds and the annotation weakens the inferable effects for tuple iteration, which has a surprisingly large inference performance and precision impact. Unfortunately, my previous changes to :inbounds tainting weren't quite strong enough yet, because `getfield` was still tainting consistency on unknown boundscheck arguments. To fix that, we pass through the fargs into the fetfield effects to check if we're getting a literal `:boundscheck`, in which case the `:noinbounds` consistency-tainting logic I added in #48246 is sufficient to not require additional consistency tainting. Also add a test for both effects and codegen to make sure this doens't regress.
CI isn't running on this PR - not sure why. Let me just recreate it. |
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LLVM can prove this inbounds and the annotation weakens the inferable effects for tuple iteration, which has a surprisingly large inference performance and precision impact. Add a test for both effects and codegen to make sure this doens't regress.