Commits: JuliaLang/julia@8fafb91885e88c429255320ead4cd529d17b554f vs JuliaLang/julia@b491bccbf3d3992f6f1708188bf5ea0ee4cce0a0
Comparison Diff: link
Triggered By: link
Tag Predicate: "inference"
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Below is a table of this job's results, obtained by running the benchmarks found in
JuliaCI/BaseBenchmarks.jl. The values
listed in the ID column have the structure [parent_group, child_group, ..., key],
and can be used to index into the BaseBenchmarks suite to retrieve the corresponding
benchmarks.
The percentages accompanying time and memory values in the below table are noise tolerances. The "true" time/memory value for a given benchmark is expected to fall within this percentage of the reported value.
A ratio greater than 1.0 denotes a possible regression (marked with ❌), while a ratio less
than 1.0 denotes a possible improvement (marked with ✅). Only significant results - results
that indicate possible regressions or improvements - are shown below (thus, an empty table means that all
benchmark results remained invariant between builds).
| ID | time ratio | memory ratio |
|---|---|---|
["inference", "abstract interpretation", "broadcasting"] |
1.09 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "many_invoke_calls"] |
1.21 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "many_method_matches"] |
1.11 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "many_opaque_closures"] |
1.10 (5%) ❌ | 1.01 (1%) |
["inference", "abstract interpretation", "println(::QuoteNode)"] |
1.07 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "rand(Float64)"] |
1.19 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "sin(42)"] |
1.15 (5%) ❌ | 1.00 (1%) |
["inference", "allinference", "many_const_calls"] |
1.06 (5%) ❌ | 1.00 (1%) |
["inference", "allinference", "rand(Float64)"] |
1.07 (5%) ❌ | 1.00 (1%) |
["inference", "allinference", "sin(42)"] |
1.06 (5%) ❌ | 1.00 (1%) |
Here's a list of all the benchmark groups executed by this job:
["inference", "abstract interpretation"]["inference", "allinference"]["inference", "optimization"]
Julia Version 1.12.0-DEV.847
Commit 8fafb91885 (2024-07-11 11:30 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 22.04.4 LTS
uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3500 MHz 91330 s 28 s 28282 s 27060588 s 0 s
#2 3501 MHz 766926 s 44 s 27645 s 26394762 s 0 s
#3 3500 MHz 45778 s 48 s 14483 s 27127270 s 0 s
#4 3501 MHz 45860 s 33 s 18102 s 27111681 s 0 s
#5 3504 MHz 34822 s 19 s 12073 s 27117721 s 0 s
#6 3501 MHz 42062 s 15 s 17447 s 26985601 s 0 s
#7 3501 MHz 44325 s 48 s 14424 s 27102777 s 0 s
#8 3503 MHz 37164 s 22 s 11844 s 27127519 s 0 s
Memory: 31.30148696899414 GB (23966.29296875 MB free)
Uptime: 2.72016275e6 sec
Load Avg: 1.0 1.13 2.29
WORD_SIZE: 64
LLVM: libLLVM-17.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)
Julia Version 1.12.0-DEV.845
Commit b491bccbf3 (2024-07-11 08:22 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 22.04.4 LTS
uname: Linux 5.15.0-112-generic #122-Ubuntu SMP Thu May 23 07:48:21 UTC 2024 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3500 MHz 91480 s 28 s 28340 s 27073480 s 0 s
#2 3500 MHz 778989 s 44 s 27664 s 26395810 s 0 s
#3 3500 MHz 46570 s 48 s 14500 s 27139590 s 0 s
#4 3500 MHz 45902 s 33 s 18105 s 27124764 s 0 s
#5 3503 MHz 34970 s 19 s 12077 s 27130689 s 0 s
#6 3502 MHz 42108 s 15 s 17449 s 26998659 s 0 s
#7 3503 MHz 44449 s 48 s 14430 s 27115776 s 0 s
#8 3501 MHz 37274 s 22 s 11848 s 27140535 s 0 s
Memory: 31.30148696899414 GB (23804.44921875 MB free)
Uptime: 2.72147586e6 sec
Load Avg: 1.04 1.05 1.32
WORD_SIZE: 64
LLVM: libLLVM-17.0.6 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)