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inference: add missing tfuncs to the xxxglobal builtins #56641

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These builtins are now special-cased within abstract_call_known after #56299, making them unnecessary for basic inference. As a result, their tfuncs have been removed in the PR. However the algorithm for calculating inlining costs still looks up these tfuncs, so they need to be recovered. Additionally, the generate_builtins.jl script in JuliaInterpreter also uses these tfuncs, so it would be worthwhile to register even simple placeholder tfuncs for now.

@nanosoldier runbenchmarks("inference", vs=":master")

These builtins are now special-cased within `abstract_call_known` after
#56299, making them unnecessary for basic inference. As a
result, their tfuncs have been removed in the PR. However the algorithm
for calculating inlining costs still looks up these tfuncs, so they need
to be recovered. Additionally, the `generate_builtins.jl` script in
JuliaInterpreter also uses these tfuncs, so it would be worthwhile to
register even simple placeholder tfuncs for now.
@aviatesk aviatesk requested a review from Keno November 21, 2024 18:32
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Your benchmark job has completed - possible performance regressions were detected. A full report can be found here.

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