Commits: JuliaLang/julia@bb70e25102852bd8d8388acb4f1f0ac93a299cc4 vs JuliaLang/julia@58c7186d1983de304a47fdefb9a9a16f8b4901e7
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", "broadcasting"] |
1.00 (5%) | 1.01 (1%) ❌ |
["inference", "abstract interpretation", "many_invoke_calls"] |
0.99 (5%) | 1.01 (1%) ❌ |
["inference", "abstract interpretation", "many_method_matches"] |
1.00 (5%) | 1.01 (1%) ❌ |
["inference", "abstract interpretation", "rand(Float64)"] |
1.01 (5%) | 1.01 (1%) ❌ |
["inference", "abstract interpretation", "sin(42)"] |
1.00 (5%) | 1.01 (1%) ❌ |
["inference", "optimization", "many_const_calls"] |
0.94 (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.1084
Commit bb70e25102 (2024-08-22 09:38 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 340850 s 152 s 86466 s 62928788 s 0 s
#2 3497 MHz 3605098 s 72 s 89626 s 59702009 s 0 s
#3 3500 MHz 225268 s 94 s 36148 s 63130153 s 0 s
#4 3501 MHz 217115 s 70 s 44209 s 63102682 s 0 s
#5 3504 MHz 187737 s 68 s 31167 s 63118877 s 0 s
#6 3501 MHz 201908 s 49 s 42238 s 62814362 s 0 s
#7 3504 MHz 212630 s 85 s 35050 s 63090097 s 0 s
#8 3503 MHz 190598 s 49 s 29278 s 63147809 s 0 s
Memory: 31.30148696899414 GB (22824.37109375 MB free)
Uptime: 6.34227546e6 sec
Load Avg: 1.0 1.17 2.17
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.1082
Commit 58c7186d19 (2024-08-22 02:53 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 341155 s 152 s 86633 s 62941702 s 0 s
#2 3500 MHz 3617380 s 72 s 89646 s 59703124 s 0 s
#3 3497 MHz 225851 s 94 s 36162 s 63142970 s 0 s
#4 3500 MHz 217294 s 70 s 44218 s 63115910 s 0 s
#5 3504 MHz 187804 s 68 s 31168 s 63132215 s 0 s
#6 3501 MHz 201996 s 49 s 42241 s 62827662 s 0 s
#7 3501 MHz 212791 s 85 s 35054 s 63103349 s 0 s
#8 3472 MHz 190817 s 49 s 29284 s 63161000 s 0 s
Memory: 31.30148696899414 GB (22719.9375 MB free)
Uptime: 6.34361736e6 sec
Load Avg: 1.0 1.0 1.26
WORD_SIZE: 64
LLVM: libLLVM-18.1.7 (ORCJIT, haswell)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)