Commits: JuliaLang/julia@2c051d039bd48c6fbdfd45b1b57df63a30d648a2 vs JuliaLang/julia@8fa066b56f4f49d212068c7e2a143dd1140f030b
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", "abstract_call_gf_by_type"] |
1.13 (5%) ❌ | 1.04 (1%) ❌ |
["inference", "abstract interpretation", "broadcast"] |
1.07 (5%) ❌ | 1.01 (1%) |
["inference", "abstract interpretation", "construct_ssa!"] |
1.16 (5%) ❌ | 1.05 (1%) ❌ |
["inference", "abstract interpretation", "domsort_ssa!"] |
1.08 (5%) ❌ | 1.01 (1%) |
["inference", "abstract interpretation", "method_match_cache"] |
1.06 (5%) ❌ | 1.00 (1%) |
["inference", "abstract interpretation", "rand(Float64)"] |
1.03 (5%) | 0.99 (1%) ✅ |
["inference", "abstract interpretation", "sin(42)"] |
1.06 (5%) ❌ | 1.01 (1%) |
["inference", "allinference", "abstract_call_gf_by_type"] |
1.00 (5%) | 1.02 (1%) ❌ |
["inference", "allinference", "construct_ssa!"] |
1.07 (5%) ❌ | 1.02 (1%) ❌ |
["inference", "optimization", "REPL.REPLCompletions.completions"] |
1.06 (5%) ❌ | 1.00 (1%) |
["inference", "optimization", "abstract_call_gf_by_type"] |
1.07 (5%) ❌ | 1.04 (1%) ❌ |
Here's a list of all the benchmark groups executed by this job:
["inference", "abstract interpretation"]
["inference", "allinference"]
["inference", "optimization"]
Julia Version 1.9.0-DEV.1242
Commit 2c051d039b (2022-08-31 17:16 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 20.04.4 LTS
uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3429 MHz 22628 s 44 s 10536 s 18867124 s 0 s
#2 3600 MHz 361902 s 70 s 16159 s 18526421 s 0 s
#3 3383 MHz 29430 s 35 s 9850 s 18864963 s 0 s
#4 2861 MHz 23144 s 20 s 9568 s 18848146 s 0 s
#5 2780 MHz 28188 s 39 s 9884 s 18758800 s 0 s
#6 3458 MHz 31716 s 37 s 9804 s 18856992 s 0 s
#7 3366 MHz 28999 s 27 s 10042 s 18864800 s 0 s
#8 3403 MHz 27292 s 105 s 9790 s 18853953 s 0 s
Memory: 31.320838928222656 GB (21182.109375 MB free)
Uptime: 1.89217404e6 sec
Load Avg: 1.0 1.03 1.2
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.5 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores
Julia Version 1.9.0-DEV.1240
Commit 8fa066b56f (2022-08-31 14:16 UTC)
Platform Info:
OS: Linux (x86_64-linux-gnu)
Ubuntu 20.04.4 LTS
uname: Linux 5.4.0-122-generic #138-Ubuntu SMP Wed Jun 22 15:00:31 UTC 2022 x86_64 x86_64
CPU: Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz:
speed user nice sys idle irq
#1 3029 MHz 22682 s 44 s 10564 s 18879335 s 0 s
#2 3140 MHz 372651 s 70 s 16256 s 18527892 s 0 s
#3 2974 MHz 29966 s 35 s 9869 s 18876723 s 0 s
#4 2854 MHz 23219 s 20 s 9577 s 18860365 s 0 s
#5 3012 MHz 28207 s 39 s 9894 s 18771065 s 0 s
#6 3088 MHz 32236 s 37 s 9818 s 18868774 s 0 s
#7 3090 MHz 29379 s 27 s 10056 s 18876720 s 0 s
#8 3255 MHz 27352 s 105 s 9800 s 18866200 s 0 s
Memory: 31.320838928222656 GB (21172.90234375 MB free)
Uptime: 1.8934058e6 sec
Load Avg: 1.02 1.01 1.05
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.5 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores