Commits: JuliaLang/julia@1cc2bcaab1eda3a7fc0b63dc6b858fbb13c2814d vs JuliaLang/julia@fdc109088e7a25c7b412546634f2db70a2d584ad
Comparison Diff: link
Triggered By: link
Tag Predicate: "inference"
Note: If Chrome is your browser, I strongly recommend installing the Wide GitHub extension, which makes the result table easier to read.
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", "Base.init_stdio(::Ptr{Cvoid})"] |
1.18 (5%) ❌ | 1.27 (1%) ❌ |
["inference", "abstract interpretation", "REPL.REPLCompletions.completions"] |
1.09 (5%) ❌ | 1.28 (1%) ❌ |
["inference", "abstract interpretation", "broadcasting"] |
1.18 (5%) ❌ | 1.30 (1%) ❌ |
["inference", "abstract interpretation", "many_const_calls"] |
1.07 (5%) ❌ | 1.22 (1%) ❌ |
["inference", "abstract interpretation", "many_global_refs"] |
1.04 (5%) | 1.16 (1%) ❌ |
["inference", "abstract interpretation", "many_invoke_calls"] |
1.25 (5%) ❌ | 1.32 (1%) ❌ |
["inference", "abstract interpretation", "many_local_vars"] |
0.96 (5%) | 1.34 (1%) ❌ |
["inference", "abstract interpretation", "many_method_matches"] |
1.27 (5%) ❌ | 1.34 (1%) ❌ |
["inference", "abstract interpretation", "many_opaque_closures"] |
1.15 (5%) ❌ | 1.26 (1%) ❌ |
["inference", "abstract interpretation", "println(::QuoteNode)"] |
1.19 (5%) ❌ | 1.28 (1%) ❌ |
["inference", "abstract interpretation", "rand(Float64)"] |
1.16 (5%) ❌ | 1.30 (1%) ❌ |
["inference", "abstract interpretation", "sin(42)"] |
1.26 (5%) ❌ | 1.33 (1%) ❌ |
["inference", "allinference", "Base.init_stdio(::Ptr{Cvoid})"] |
1.10 (5%) ❌ | 1.06 (1%) ❌ |
["inference", "allinference", "REPL.REPLCompletions.completions"] |
1.10 (5%) ❌ | 1.06 (1%) ❌ |
["inference", "allinference", "broadcasting"] |
1.11 (5%) ❌ | 1.07 (1%) ❌ |
["inference", "allinference", "many_const_calls"] |
1.12 (5%) ❌ | 1.10 (1%) ❌ |
["inference", "allinference", "many_global_refs"] |
1.02 (5%) | 1.08 (1%) ❌ |
["inference", "allinference", "many_invoke_calls"] |
1.05 (5%) ❌ | 1.03 (1%) ❌ |
["inference", "allinference", "many_local_vars"] |
0.98 (5%) | 1.08 (1%) ❌ |
["inference", "allinference", "many_method_matches"] |
1.07 (5%) ❌ | 1.04 (1%) ❌ |
["inference", "allinference", "many_opaque_closures"] |
1.05 (5%) ❌ | 1.03 (1%) ❌ |
["inference", "allinference", "println(::QuoteNode)"] |
1.12 (5%) ❌ | 1.07 (1%) ❌ |
["inference", "allinference", "rand(Float64)"] |
1.12 (5%) ❌ | 1.07 (1%) ❌ |
["inference", "allinference", "sin(42)"] |
1.12 (5%) ❌ | 1.08 (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.1133
Commit 1cc2bcaab1 (2024-08-30 09:31 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 3501 MHz 270432 s 153 s 90836 s 69909724 s 0 s
#2 3501 MHz 939187 s 95 s 63585 s 69279812 s 0 s
#3 3499 MHz 152643 s 116 s 42002 s 70104641 s 0 s
#4 3501 MHz 150104 s 63 s 43666 s 70107542 s 0 s
#5 3343 MHz 124137 s 58 s 30604 s 70085667 s 0 s
#6 3501 MHz 133962 s 106 s 37016 s 69729381 s 0 s
#7 3500 MHz 148506 s 64 s 35551 s 70053727 s 0 s
#8 3503 MHz 149026 s 53 s 37211 s 70095374 s 0 s
Memory: 31.30147933959961 GB (22960.44921875 MB free)
Uptime: 7.03403339e6 sec
Load Avg: 1.0 1.08 1.93
WORD_SIZE: 64
LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)
Julia Version 1.12.0-DEV.1120
Commit fdc109088e (2024-08-30 03:15 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 3499 MHz 270507 s 153 s 90848 s 69922933 s 0 s
#2 3500 MHz 951470 s 95 s 63611 s 69280830 s 0 s
#3 3499 MHz 153302 s 116 s 42017 s 70117293 s 0 s
#4 3500 MHz 150228 s 63 s 43670 s 70120739 s 0 s
#5 3501 MHz 124192 s 58 s 30605 s 70098926 s 0 s
#6 3500 MHz 134166 s 106 s 37021 s 69742476 s 0 s
#7 3503 MHz 148548 s 64 s 35553 s 70067009 s 0 s
#8 3502 MHz 149156 s 53 s 37215 s 70108566 s 0 s
Memory: 31.30147933959961 GB (22980.83984375 MB free)
Uptime: 7.03536622e6 sec
Load Avg: 1.0 1.0 1.2
WORD_SIZE: 64
LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)