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Set world bounds on CodeInfo created for OpaqueClosure(::IRCode)
#59631
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Keno
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Sep 24, 2025
KristofferC
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Sep 30, 2025
…59631) Setting world bounds on the created `CodeInfo` allows us to interpret opaque closures faster. Taking the following example: ```julia julia> f(x, y) = x + y f (generic function with 1 method) julia> ir = Base.code_ircode_by_type(Tuple{typeof(f), Int, Int})[1][1] 1 1 ─ %1 = intrinsic Base.add_int(_2, _3)::Int64 │╻ + └── return %1 ││ julia> ir.argtypes[1] = Tuple{} Tuple{} julia> oc = Core.OpaqueClosure(ir; do_compile=true) (::Int64, ::Int64)->◌::Int64 ``` this is what we emitted before ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[8]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = dynamic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 39.765 ns (0 allocations: 0 bytes) ``` and now: ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[93]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = intrinsic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 2.678 ns (0 allocations: 0 bytes) ``` The overhead notably adds more and more with every statement, which for ~20 statements led to > 1 µs of overhead, and multiple allocations. This overhead is observed on 1.12+ only (1.11 evaluates as fast as with this change), which may have been surfaced by the partitioned bindings feature. (cherry picked from commit a5576b4)
KristofferC
pushed a commit
that referenced
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Sep 30, 2025
…59631) Setting world bounds on the created `CodeInfo` allows us to interpret opaque closures faster. Taking the following example: ```julia julia> f(x, y) = x + y f (generic function with 1 method) julia> ir = Base.code_ircode_by_type(Tuple{typeof(f), Int, Int})[1][1] 1 1 ─ %1 = intrinsic Base.add_int(_2, _3)::Int64 │╻ + └── return %1 ││ julia> ir.argtypes[1] = Tuple{} Tuple{} julia> oc = Core.OpaqueClosure(ir; do_compile=true) (::Int64, ::Int64)->◌::Int64 ``` this is what we emitted before ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[8]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = dynamic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 39.765 ns (0 allocations: 0 bytes) ``` and now: ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[93]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = intrinsic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 2.678 ns (0 allocations: 0 bytes) ``` The overhead notably adds more and more with every statement, which for ~20 statements led to > 1 µs of overhead, and multiple allocations. This overhead is observed on 1.12+ only (1.11 evaluates as fast as with this change), which may have been surfaced by the partitioned bindings feature. (cherry picked from commit a5576b4)
KristofferC
pushed a commit
that referenced
this pull request
Sep 30, 2025
…59631) Setting world bounds on the created `CodeInfo` allows us to interpret opaque closures faster. Taking the following example: ```julia julia> f(x, y) = x + y f (generic function with 1 method) julia> ir = Base.code_ircode_by_type(Tuple{typeof(f), Int, Int})[1][1] 1 1 ─ %1 = intrinsic Base.add_int(_2, _3)::Int64 │╻ + └── return %1 ││ julia> ir.argtypes[1] = Tuple{} Tuple{} julia> oc = Core.OpaqueClosure(ir; do_compile=true) (::Int64, ::Int64)->◌::Int64 ``` this is what we emitted before ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[8]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = dynamic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 39.765 ns (0 allocations: 0 bytes) ``` and now: ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[93]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = intrinsic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 2.678 ns (0 allocations: 0 bytes) ``` The overhead notably adds more and more with every statement, which for ~20 statements led to > 1 µs of overhead, and multiple allocations. This overhead is observed on 1.12+ only (1.11 evaluates as fast as with this change), which may have been surfaced by the partitioned bindings feature. (cherry picked from commit a5576b4)
xal-0
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to xal-0/julia
that referenced
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Sep 30, 2025
…uliaLang#59631) Setting world bounds on the created `CodeInfo` allows us to interpret opaque closures faster. Taking the following example: ```julia julia> f(x, y) = x + y f (generic function with 1 method) julia> ir = Base.code_ircode_by_type(Tuple{typeof(f), Int, Int})[1][1] 1 1 ─ %1 = intrinsic Base.add_int(_2, _3)::Int64 │╻ + └── return %1 ││ julia> ir.argtypes[1] = Tuple{} Tuple{} julia> oc = Core.OpaqueClosure(ir; do_compile=true) (::Int64, ::Int64)->◌::Int64 ``` this is what we emitted before ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[8]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = dynamic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 39.765 ns (0 allocations: 0 bytes) ``` and now: ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[93]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = intrinsic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 2.678 ns (0 allocations: 0 bytes) ``` The overhead notably adds more and more with every statement, which for ~20 statements led to > 1 µs of overhead, and multiple allocations. This overhead is observed on 1.12+ only (1.11 evaluates as fast as with this change), which may have been surfaced by the partitioned bindings feature.
KristofferC
pushed a commit
that referenced
this pull request
Oct 12, 2025
…59631) Setting world bounds on the created `CodeInfo` allows us to interpret opaque closures faster. Taking the following example: ```julia julia> f(x, y) = x + y f (generic function with 1 method) julia> ir = Base.code_ircode_by_type(Tuple{typeof(f), Int, Int})[1][1] 1 1 ─ %1 = intrinsic Base.add_int(_2, _3)::Int64 │╻ + └── return %1 ││ julia> ir.argtypes[1] = Tuple{} Tuple{} julia> oc = Core.OpaqueClosure(ir; do_compile=true) (::Int64, ::Int64)->◌::Int64 ``` this is what we emitted before ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[8]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = dynamic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 39.765 ns (0 allocations: 0 bytes) ``` and now: ```julia julia> @code_typed oc(1, 2) Pair{Core.CodeInfo, Any}(CodeInfo( @ REPL[93]:1 within `f` ┌ @ int.jl:87 within `+` 1 ─│ %1 = intrinsic Base.add_int(none@_2, none@_3)::Int64 └──│ return %1 └ ), Int64) julia> using BenchmarkTools; @Btime $oc(1, 2) 2.678 ns (0 allocations: 0 bytes) ``` The overhead notably adds more and more with every statement, which for ~20 statements led to > 1 µs of overhead, and multiple allocations. This overhead is observed on 1.12+ only (1.11 evaluates as fast as with this change), which may have been surfaced by the partitioned bindings feature. (cherry picked from commit a5576b4)
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Setting world bounds on the created
CodeInfoallows us to interpret opaque closures faster.Taking the following example:
this is what we emitted before
and now:
The overhead notably adds more and more with every statement, which for ~20 statements led to > 1 µs of overhead, and multiple allocations. This overhead is observed on 1.12+ only (1.11 evaluates as fast as with this change), which may have been surfaced by the partitioned bindings feature.