Commits: JuliaLang/julia@9b699c1071441e1b740eb97f813dee9b976891e4 vs JuliaLang/julia@bd1a664bff55c62cd5b094da7ad371a4f75936a3
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", "REPL.REPLCompletions.completions"] |
1.07 (5%) ❌ | 1.04 (1%) ❌ |
["inference", "abstract interpretation", "broadcasting"] |
4.92 (5%) ❌ | 3.39 (1%) ❌ |
["inference", "abstract interpretation", "many_const_calls"] |
1.04 (5%) | 0.99 (1%) ✅ |
["inference", "abstract interpretation", "many_invoke_calls"] |
1.05 (5%) | 0.98 (1%) ✅ |
["inference", "abstract interpretation", "many_method_matches"] |
1.03 (5%) | 0.98 (1%) ✅ |
["inference", "abstract interpretation", "rand(Float64)"] |
3.17 (5%) ❌ | 3.14 (1%) ❌ |
["inference", "abstract interpretation", "sin(42)"] |
1.05 (5%) | 0.98 (1%) ✅ |
["inference", "allinference", "Base.init_stdio(::Ptr{Cvoid})"] |
0.99 (5%) | 1.01 (1%) ❌ |
["inference", "allinference", "REPL.REPLCompletions.completions"] |
1.01 (5%) | 1.05 (1%) ❌ |
["inference", "allinference", "broadcasting"] |
3.50 (5%) ❌ | 3.04 (1%) ❌ |
["inference", "allinference", "println(::QuoteNode)"] |
1.04 (5%) | 1.02 (1%) ❌ |
["inference", "allinference", "rand(Float64)"] |
3.49 (5%) ❌ | 3.31 (1%) ❌ |
["inference", "allinference", "sin(42)"] |
1.05 (5%) ❌ | 1.00 (1%) |
["inference", "optimization", "Base.init_stdio(::Ptr{Cvoid})"] |
1.10 (5%) ❌ | 1.09 (1%) ❌ |
["inference", "optimization", "REPL.REPLCompletions.completions"] |
0.79 (5%) ✅ | 1.00 (1%) |
["inference", "optimization", "many_invoke_calls"] |
1.09 (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 1.10.0-DEV.956
Commit 9b699c1071 (2023-04-05 13:05 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 22.04.1 LTS
uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3900 MHz 272757 s 27920 s 277734 s 52584937 s 0 s
#2 3900 MHz 4361007 s 18413 s 298381 s 48590513 s 0 s
#3 3508 MHz 273398 s 18500 s 240645 s 52688883 s 0 s
#4 3900 MHz 203540 s 17219 s 232874 s 52697871 s 0 s
Memory: 31.313323974609375 GB (21806.54296875 MB free)
Uptime: 5.34019388e6 sec
Load Avg: 1.0 1.05 1.18
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
Threads: 1 on 4 virtual cores
Julia Version 1.10.0-DEV.953
Commit bd1a664bff (2023-04-05 06:55 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 22.04.1 LTS
uname: Linux 5.15.0-58-generic #64-Ubuntu SMP Thu Jan 5 11:43:13 UTC 2023 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3900 MHz 273500 s 27958 s 277901 s 52597712 s 0 s
#2 3900 MHz 4373104 s 18413 s 298419 s 48592189 s 0 s
#3 3500 MHz 273998 s 18500 s 240673 s 52702056 s 0 s
#4 3900 MHz 204164 s 17219 s 232895 s 52710987 s 0 s
Memory: 31.313323974609375 GB (21798.13671875 MB free)
Uptime: 5.34157546e6 sec
Load Avg: 1.21 1.1 1.07
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, haswell)
Threads: 1 on 4 virtual cores