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Faster tests and benchmarks #127

Merged
merged 6 commits into from
Aug 23, 2023
Merged

Faster tests and benchmarks #127

merged 6 commits into from
Aug 23, 2023

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adrhill
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@adrhill adrhill commented Aug 23, 2023

  • test on custom CNN instead of VGG11
  • reduce layer sizes for rule tests
  • remove some duplicate and rarely used layer types from rule tests

@adrhill
Faster tests
0fb7096 
* test on custom CNN instead of VGG
* reduce layer sizes for rule tests
* remove some rarely used layer types
@adrhill
Benchmark on smaller CNN
4739dff
@adrhill
Update references
8594d50
@adrhill
Minor fixes
2883fd4
@adrhill adrhill added the run benchmark Run benchmark CI action label Aug 23, 2023
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codecov bot commented Aug 23, 2023 •
edited
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Codecov Report

Merging #127 (9063fa4) into master (42df53d) will decrease coverage by 0.62%.
The diff coverage is n/a.

❗ Current head 9063fa4 differs from pull request most recent head 4fafd83. Consider uploading reports for the commit 4fafd83 to get more accurate results

@@            Coverage Diff             @@
##           master     #127      +/-   ##
==========================================
- Coverage   93.19%   92.58%   -0.62%     
==========================================
  Files          18       18              
  Lines         647      647              
==========================================
- Hits          603      599       -4     
- Misses         44       48       +4

see 1 file with indirect coverage changes

@adrhill adrhill changed the title Faster tests Faster tests and benchmarks Aug 23, 2023
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Benchmark result

Judge result

Benchmark Report for /home/runner/work/ExplainableAI.jl/ExplainableAI.jl

Job Properties

  • Time of benchmarks:
    • Target: 23 Aug 2023 - 14:37
    • Baseline: 23 Aug 2023 - 14:43
  • Package commits:
    • Target: 80ea37
    • Baseline: 42df53
  • Julia commits:
    • Target: e4ee48
    • Baseline: e4ee48
  • Julia command flags:
    • Target: None
    • Baseline: None
  • Environment variables:
    • Target: None
    • Baseline: None

Results

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
["VGG11", "Gradient", "analyze"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "Gradient", "construct analyzer"] 0.50 (5%) ✅ 0.57 (1%) ✅
["VGG11", "InputTimesGradient", "analyze"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "InputTimesGradient", "construct analyzer"] 0.51 (5%) ✅ 0.57 (1%) ✅
["VGG11", "IntegratedGradients", "analyze"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "IntegratedGradients", "construct analyzer"] 0.50 (5%) ✅ 0.58 (1%) ✅
["VGG11", "LREpsilonPlusFlat", "analyze"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "LREpsilonPlusFlat", "construct analyzer"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "LRP", "analyze"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "LRP", "construct analyzer"] 0.48 (5%) ✅ 0.45 (1%) ✅
["VGG11", "SmoothGrad", "analyze"] 0.00 (5%) ✅ 0.00 (1%) ✅
["VGG11", "SmoothGrad", "construct analyzer"] 0.51 (5%) ✅ 0.58 (1%) ✅
["apply rule", "AlphaBetaRule", "Dense"] 0.49 (5%) ✅ 1.00 (1%)
["apply rule", "FlatRule", "Dense"] 1.07 (5%) ❌ 1.00 (1%)
["modify layer", "AlphaBetaRule", "Dense"] 0.92 (5%) ✅ 1.00 (1%)
["modify layer", "GammaRule", "Dense"] 0.83 (5%) ✅ 1.00 (1%)
["modify layer", "WSquareRule", "Dense"] 0.89 (5%) ✅ 1.00 (1%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["VGG11", "Gradient"]
  • ["VGG11", "InputTimesGradient"]
  • ["VGG11", "IntegratedGradients"]
  • ["VGG11", "LREpsilonPlusFlat"]
  • ["VGG11", "LRP"]
  • ["VGG11", "SmoothGrad"]
  • ["apply rule", "AlphaBetaRule"]
  • ["apply rule", "EpsilonRule"]
  • ["apply rule", "FlatRule"]
  • ["apply rule", "GammaRule"]
  • ["apply rule", "WSquareRule"]
  • ["apply rule", "ZBoxRule"]
  • ["apply rule", "ZPlusRule"]
  • ["apply rule", "ZeroRule"]
  • ["modify layer", "AlphaBetaRule"]
  • ["modify layer", "EpsilonRule"]
  • ["modify layer", "FlatRule"]
  • ["modify layer", "GammaRule"]
  • ["modify layer", "WSquareRule"]
  • ["modify layer", "ZBoxRule"]
  • ["modify layer", "ZPlusRule"]
  • ["modify layer", "ZeroRule"]

Julia versioninfo

Target

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       6579 s          0 s        354 s       2511 s          0 s
       #2  2593 MHz       4260 s          0 s        387 s       4757 s          0 s
  Memory: 6.769481658935547 GB (4931.234375 MB free)
  Uptime: 951.31 sec
  Load Avg:  1.0  1.12  0.92
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Baseline

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       6669 s          0 s        419 s       5706 s          0 s
       #2  2593 MHz       7438 s          0 s        496 s       4833 s          0 s
  Memory: 6.769481658935547 GB (3189.9296875 MB free)
  Uptime: 1287.75 sec
  Load Avg:  1.0  1.04  0.96
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Target result

Benchmark Report for /home/runner/work/ExplainableAI.jl/ExplainableAI.jl

Job Properties

  • Time of benchmark: 23 Aug 2023 - 14:37
  • Package commit: 80ea37
  • Julia commit: e4ee48
  • Julia command flags: None
  • Environment variables: None

Results

Below is a table of this job's results, obtained by running the benchmarks.
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.
An empty cell means that the value was zero.

ID time GC time memory allocations
["VGG11", "Gradient", "analyze"] 3.679 ms (5%) 5.51 MiB (1%) 874
["VGG11", "Gradient", "construct analyzer"] 5.583 μs (5%) 4.59 KiB (1%) 82
["VGG11", "InputTimesGradient", "analyze"] 3.668 ms (5%) 5.52 MiB (1%) 876
["VGG11", "InputTimesGradient", "construct analyzer"] 5.567 μs (5%) 4.59 KiB (1%) 82
["VGG11", "IntegratedGradients", "analyze"] 18.975 ms (5%) 26.20 MiB (1%) 3768
["VGG11", "IntegratedGradients", "construct analyzer"] 5.417 μs (5%) 3.53 KiB (1%) 80
["VGG11", "LREpsilonPlusFlat", "analyze"] 3.931 ms (5%) 5.23 MiB (1%) 1262
["VGG11", "LREpsilonPlusFlat", "construct analyzer"] 169.303 μs (5%) 114.33 KiB (1%) 658
["VGG11", "LRP", "analyze"] 2.733 ms (5%) 3.54 MiB (1%) 916
["VGG11", "LRP", "construct analyzer"] 64.801 μs (5%) 55.74 KiB (1%) 444
["VGG11", "SmoothGrad", "analyze"] 18.659 ms (5%) 26.16 MiB (1%) 3741
["VGG11", "SmoothGrad", "construct analyzer"] 5.467 μs (5%) 3.53 KiB (1%) 80
["apply rule", "AlphaBetaRule", "Conv"] 2.237 ms (5%) 5.48 MiB (1%) 506
["apply rule", "AlphaBetaRule", "Dense"] 208.003 μs (5%) 800.94 KiB (1%) 38
["apply rule", "EpsilonRule", "Conv"] 557.110 μs (5%) 1.36 MiB (1%) 127
["apply rule", "EpsilonRule", "Dense"] 19.500 μs (5%) 1.45 KiB (1%) 3
["apply rule", "FlatRule", "Conv"] 567.609 μs (5%) 1.41 MiB (1%) 130
["apply rule", "FlatRule", "Dense"] 76.137 ns (5%)
["apply rule", "GammaRule", "Conv"] 552.509 μs (5%) 1.36 MiB (1%) 127
["apply rule", "GammaRule", "Dense"] 19.400 μs (5%) 1.45 KiB (1%) 3
["apply rule", "WSquareRule", "Conv"] 565.909 μs (5%) 1.41 MiB (1%) 130
["apply rule", "WSquareRule", "Dense"] 19.000 μs (5%) 576 bytes (1%) 5
["apply rule", "ZBoxRule", "Conv"] 1.708 ms (5%) 4.12 MiB (1%) 381
["apply rule", "ZBoxRule", "Dense"] 155.903 μs (5%) 602.48 KiB (1%) 32
["apply rule", "ZPlusRule", "Conv"] 1.142 ms (5%) 2.79 MiB (1%) 257
["apply rule", "ZPlusRule", "Dense"] 99.301 μs (5%) 402.55 KiB (1%) 21
["apply rule", "ZeroRule", "Conv"] 557.108 μs (5%) 1.36 MiB (1%) 127
["apply rule", "ZeroRule", "Dense"] 19.500 μs (5%) 1.45 KiB (1%) 3
["modify layer", "AlphaBetaRule", "Conv"] 916.667 ns (5%) 1.56 KiB (1%) 12
["modify layer", "AlphaBetaRule", "Dense"] 109.202 μs (5%) 783.38 KiB (1%) 12
["modify layer", "EpsilonRule", "Conv"] 1.700 ns (5%)
["modify layer", "EpsilonRule", "Dense"] 1.700 ns (5%)
["modify layer", "FlatRule", "Conv"] 120.088 ns (5%) 400 bytes (1%) 3
["modify layer", "FlatRule", "Dense"] 23.901 μs (5%) 195.84 KiB (1%) 3
["modify layer", "GammaRule", "Conv"] 283.908 ns (5%) 400 bytes (1%) 3
["modify layer", "GammaRule", "Dense"] 23.601 μs (5%) 195.84 KiB (1%) 3
["modify layer", "WSquareRule", "Conv"] 224.042 ns (5%) 400 bytes (1%) 3
["modify layer", "WSquareRule", "Dense"] 23.700 μs (5%) 195.84 KiB (1%) 3
["modify layer", "ZBoxRule", "Conv"] 469.041 ns (5%) 800 bytes (1%) 6
["modify layer", "ZBoxRule", "Dense"] 53.701 μs (5%) 391.69 KiB (1%) 6
["modify layer", "ZPlusRule", "Conv"] 459.189 ns (5%) 800 bytes (1%) 6
["modify layer", "ZPlusRule", "Dense"] 54.201 μs (5%) 391.69 KiB (1%) 6
["modify layer", "ZeroRule", "Conv"] 1.700 ns (5%)
["modify layer", "ZeroRule", "Dense"] 1.700 ns (5%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["VGG11", "Gradient"]
  • ["VGG11", "InputTimesGradient"]
  • ["VGG11", "IntegratedGradients"]
  • ["VGG11", "LREpsilonPlusFlat"]
  • ["VGG11", "LRP"]
  • ["VGG11", "SmoothGrad"]
  • ["apply rule", "AlphaBetaRule"]
  • ["apply rule", "EpsilonRule"]
  • ["apply rule", "FlatRule"]
  • ["apply rule", "GammaRule"]
  • ["apply rule", "WSquareRule"]
  • ["apply rule", "ZBoxRule"]
  • ["apply rule", "ZPlusRule"]
  • ["apply rule", "ZeroRule"]
  • ["modify layer", "AlphaBetaRule"]
  • ["modify layer", "EpsilonRule"]
  • ["modify layer", "FlatRule"]
  • ["modify layer", "GammaRule"]
  • ["modify layer", "WSquareRule"]
  • ["modify layer", "ZBoxRule"]
  • ["modify layer", "ZPlusRule"]
  • ["modify layer", "ZeroRule"]

Julia versioninfo

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       6579 s          0 s        354 s       2511 s          0 s
       #2  2593 MHz       4260 s          0 s        387 s       4757 s          0 s
  Memory: 6.769481658935547 GB (4931.234375 MB free)
  Uptime: 951.31 sec
  Load Avg:  1.0  1.12  0.92
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Baseline result

Benchmark Report for /home/runner/work/ExplainableAI.jl/ExplainableAI.jl

Job Properties

  • Time of benchmark: 23 Aug 2023 - 14:43
  • Package commit: 42df53
  • Julia commit: e4ee48
  • Julia command flags: None
  • Environment variables: None

Results

Below is a table of this job's results, obtained by running the benchmarks.
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.
An empty cell means that the value was zero.

ID time GC time memory allocations
["VGG11", "Gradient", "analyze"] 2.322 s (5%) 15.610 ms 1.10 GiB (1%) 1758
["VGG11", "Gradient", "construct analyzer"] 11.117 μs (5%) 8.02 KiB (1%) 157
["VGG11", "InputTimesGradient", "analyze"] 28.454 s (5%) 263.720 ms 1.48 GiB (1%) 6840296
["VGG11", "InputTimesGradient", "construct analyzer"] 11.017 μs (5%) 8.02 KiB (1%) 157
["VGG11", "IntegratedGradients", "analyze"] 10.653 s (5%) 124.654 ms 5.30 GiB (1%) 7508
["VGG11", "IntegratedGradients", "construct analyzer"] 10.834 μs (5%) 6.05 KiB (1%) 155
["VGG11", "LREpsilonPlusFlat", "analyze"] 4.287 s (5%) 130.333 ms 1.17 GiB (1%) 1602919
["VGG11", "LREpsilonPlusFlat", "construct analyzer"] 37.456 ms (5%) 70.52 MiB (1%) 1257
["VGG11", "LRP", "analyze"] 2.190 s (5%) 23.275 ms 761.91 MiB (1%) 1881
["VGG11", "LRP", "construct analyzer"] 135.702 μs (5%) 124.66 KiB (1%) 868
["VGG11", "SmoothGrad", "analyze"] 11.158 s (5%) 214.438 ms 5.30 GiB (1%) 55009
["VGG11", "SmoothGrad", "construct analyzer"] 10.800 μs (5%) 6.05 KiB (1%) 155
["apply rule", "AlphaBetaRule", "Conv"] 2.328 ms (5%) 5.48 MiB (1%) 506
["apply rule", "AlphaBetaRule", "Dense"] 423.107 μs (5%) 800.94 KiB (1%) 38
["apply rule", "EpsilonRule", "Conv"] 552.909 μs (5%) 1.36 MiB (1%) 127
["apply rule", "EpsilonRule", "Dense"] 19.000 μs (5%) 1.45 KiB (1%) 3
["apply rule", "FlatRule", "Conv"] 569.609 μs (5%) 1.41 MiB (1%) 130
["apply rule", "FlatRule", "Dense"] 71.075 ns (5%)
["apply rule", "GammaRule", "Conv"] 556.709 μs (5%) 1.36 MiB (1%) 127
["apply rule", "GammaRule", "Dense"] 18.800 μs (5%) 1.45 KiB (1%) 3
["apply rule", "WSquareRule", "Conv"] 570.809 μs (5%) 1.41 MiB (1%) 130
["apply rule", "WSquareRule", "Dense"] 19.100 μs (5%) 576 bytes (1%) 5
["apply rule", "ZBoxRule", "Conv"] 1.731 ms (5%) 4.12 MiB (1%) 381
["apply rule", "ZBoxRule", "Dense"] 154.403 μs (5%) 602.48 KiB (1%) 32
["apply rule", "ZPlusRule", "Conv"] 1.151 ms (5%) 2.79 MiB (1%) 257
["apply rule", "ZPlusRule", "Dense"] 99.801 μs (5%) 402.55 KiB (1%) 21
["apply rule", "ZeroRule", "Conv"] 555.809 μs (5%) 1.36 MiB (1%) 127
["apply rule", "ZeroRule", "Dense"] 18.901 μs (5%) 1.45 KiB (1%) 3
["modify layer", "AlphaBetaRule", "Conv"] 900.000 ns (5%) 1.56 KiB (1%) 12
["modify layer", "AlphaBetaRule", "Dense"] 118.902 μs (5%) 783.38 KiB (1%) 12
["modify layer", "EpsilonRule", "Conv"] 1.700 ns (5%)
["modify layer", "EpsilonRule", "Dense"] 1.700 ns (5%)
["modify layer", "FlatRule", "Conv"] 117.699 ns (5%) 400 bytes (1%) 3
["modify layer", "FlatRule", "Dense"] 24.800 μs (5%) 195.84 KiB (1%) 3
["modify layer", "GammaRule", "Conv"] 282.880 ns (5%) 400 bytes (1%) 3
["modify layer", "GammaRule", "Dense"] 28.301 μs (5%) 195.84 KiB (1%) 3
["modify layer", "WSquareRule", "Conv"] 218.079 ns (5%) 400 bytes (1%) 3
["modify layer", "WSquareRule", "Dense"] 26.501 μs (5%) 195.84 KiB (1%) 3
["modify layer", "ZBoxRule", "Conv"] 458.893 ns (5%) 800 bytes (1%) 6
["modify layer", "ZBoxRule", "Dense"] 55.900 μs (5%) 391.69 KiB (1%) 6
["modify layer", "ZPlusRule", "Conv"] 452.046 ns (5%) 800 bytes (1%) 6
["modify layer", "ZPlusRule", "Dense"] 56.401 μs (5%) 391.69 KiB (1%) 6
["modify layer", "ZeroRule", "Conv"] 1.700 ns (5%)
["modify layer", "ZeroRule", "Dense"] 1.700 ns (5%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["VGG11", "Gradient"]
  • ["VGG11", "InputTimesGradient"]
  • ["VGG11", "IntegratedGradients"]
  • ["VGG11", "LREpsilonPlusFlat"]
  • ["VGG11", "LRP"]
  • ["VGG11", "SmoothGrad"]
  • ["apply rule", "AlphaBetaRule"]
  • ["apply rule", "EpsilonRule"]
  • ["apply rule", "FlatRule"]
  • ["apply rule", "GammaRule"]
  • ["apply rule", "WSquareRule"]
  • ["apply rule", "ZBoxRule"]
  • ["apply rule", "ZPlusRule"]
  • ["apply rule", "ZeroRule"]
  • ["modify layer", "AlphaBetaRule"]
  • ["modify layer", "EpsilonRule"]
  • ["modify layer", "FlatRule"]
  • ["modify layer", "GammaRule"]
  • ["modify layer", "WSquareRule"]
  • ["modify layer", "ZBoxRule"]
  • ["modify layer", "ZPlusRule"]
  • ["modify layer", "ZeroRule"]

Julia versioninfo

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       6669 s          0 s        419 s       5706 s          0 s
       #2  2593 MHz       7438 s          0 s        496 s       4833 s          0 s
  Memory: 6.769481658935547 GB (3189.9296875 MB free)
  Uptime: 1287.75 sec
  Load Avg:  1.0  1.04  0.96
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Runtime information

Runtime Info
BLAS #threads 1
BLAS.vendor() lbt
Sys.CPU_THREADS 2

lscpu output:

Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Address sizes:                   46 bits physical, 48 bits virtual
Byte Order:                      Little Endian
CPU(s):                          2
On-line CPU(s) list:             0,1
Vendor ID:                       GenuineIntel
Model name:                      Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
CPU family:                      6
Model:                           85
Thread(s) per core:              1
Core(s) per socket:              2
Socket(s):                       1
Stepping:                        7
BogoMIPS:                        5187.81
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm avx512f avx512dq rdseed adx smap clflushopt avx512cd avx512bw avx512vl xsaveopt xsavec xsaves md_clear
Hypervisor vendor:               Microsoft
Virtualization type:             full
L1d cache:                       64 KiB (2 instances)
L1i cache:                       64 KiB (2 instances)
L2 cache:                        2 MiB (2 instances)
L3 cache:                        35.8 MiB (1 instance)
NUMA node(s):                    1
NUMA node0 CPU(s):               0,1
Vulnerability Itlb multihit:     KVM: Mitigation: VMX unsupported
Vulnerability L1tf:              Mitigation; PTE Inversion
Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT Host state unknown
Vulnerability Meltdown:          Mitigation; PTI
Vulnerability Mmio stale data:   Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Retbleed:          Vulnerable
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT Host state unknown
Cpu Property Value
Brand Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
Vendor :Intel
Architecture :Skylake
Model Family: 0x06, Model: 0x55, Stepping: 0x07, Type: 0x00
Cores 2 physical cores, 2 logical cores (on executing CPU)
No Hyperthreading hardware capability detected
Clock Frequencies Not supported by CPU
Data Cache Level 1:3 : (32, 1024, 36608) kbytes
64 byte cache line size
Address Size 48 bits virtual, 46 bits physical
SIMD 512 bit = 64 byte max. SIMD vector size
Time Stamp Counter TSC is accessible via rdtsc
TSC increased at every clock cycle (non-invariant TSC)
Perf. Monitoring Performance Monitoring Counters (PMC) are not supported
Hypervisor Yes, Microsoft

@adrhill adrhill merged commit 20c7fc6 into master Aug 23, 2023
5 checks passed
@adrhill adrhill deleted the ah/fast-tests branch August 23, 2023 14:52
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Benchmark result

Judge result

Benchmark Report for /home/runner/work/ExplainableAI.jl/ExplainableAI.jl

Job Properties

  • Time of benchmarks:
    • Target: 23 Aug 2023 - 14:55
    • Baseline: 23 Aug 2023 - 15:01
  • Package commits:
    • Target: d9a1b8
    • Baseline: 42df53
  • Julia commits:
    • Target: e4ee48
    • Baseline: e4ee48
  • Julia command flags:
    • Target: None
    • Baseline: None
  • Environment variables:
    • Target: None
    • Baseline: None

Results

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
["apply rule", "AlphaBetaRule", "Conv"] 0.30 (5%) ✅ 0.24 (1%) ✅
["apply rule", "AlphaBetaRule", "Dense"] 0.03 (5%) ✅ 0.02 (1%) ✅
["apply rule", "EpsilonRule", "Conv"] 0.31 (5%) ✅ 0.24 (1%) ✅
["apply rule", "EpsilonRule", "Dense"] 0.06 (5%) ✅ 0.19 (1%) ✅
["apply rule", "FlatRule", "Conv"] 0.30 (5%) ✅ 0.24 (1%) ✅
["apply rule", "FlatRule", "Dense"] 0.27 (5%) ✅ 1.00 (1%)
["apply rule", "GammaRule", "Conv"] 0.30 (5%) ✅ 0.24 (1%) ✅
["apply rule", "GammaRule", "Dense"] 0.06 (5%) ✅ 0.19 (1%) ✅
["apply rule", "WSquareRule", "Conv"] 0.30 (5%) ✅ 0.24 (1%) ✅
["apply rule", "WSquareRule", "Dense"] 0.07 (5%) ✅ 0.31 (1%) ✅
["apply rule", "ZBoxRule", "Conv"] 0.30 (5%) ✅ 0.24 (1%) ✅
["apply rule", "ZBoxRule", "Dense"] 0.05 (5%) ✅ 0.02 (1%) ✅
["apply rule", "ZPlusRule", "Conv"] 0.31 (5%) ✅ 0.24 (1%) ✅
["apply rule", "ZPlusRule", "Dense"] 0.05 (5%) ✅ 0.02 (1%) ✅
["apply rule", "ZeroRule", "Conv"] 0.31 (5%) ✅ 0.24 (1%) ✅
["apply rule", "ZeroRule", "Dense"] 0.06 (5%) ✅ 0.19 (1%) ✅
["modify layer", "AlphaBetaRule", "Dense"] 0.04 (5%) ✅ 0.01 (1%) ✅
["modify layer", "FlatRule", "Dense"] 0.03 (5%) ✅ 0.01 (1%) ✅
["modify layer", "GammaRule", "Dense"] 0.05 (5%) ✅ 0.01 (1%) ✅
["modify layer", "WSquareRule", "Dense"] 0.04 (5%) ✅ 0.01 (1%) ✅
["modify layer", "ZBoxRule", "Dense"] 0.04 (5%) ✅ 0.01 (1%) ✅
["modify layer", "ZPlusRule", "Dense"] 0.04 (5%) ✅ 0.01 (1%) ✅

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["apply rule", "AlphaBetaRule"]
  • ["apply rule", "EpsilonRule"]
  • ["apply rule", "FlatRule"]
  • ["apply rule", "GammaRule"]
  • ["apply rule", "WSquareRule"]
  • ["apply rule", "ZBoxRule"]
  • ["apply rule", "ZPlusRule"]
  • ["apply rule", "ZeroRule"]
  • ["modify layer", "AlphaBetaRule"]
  • ["modify layer", "EpsilonRule"]
  • ["modify layer", "FlatRule"]
  • ["modify layer", "GammaRule"]
  • ["modify layer", "WSquareRule"]
  • ["modify layer", "ZBoxRule"]
  • ["modify layer", "ZPlusRule"]
  • ["modify layer", "ZeroRule"]

Julia versioninfo

Target

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       2419 s          0 s        283 s       5424 s          0 s
       #2  2593 MHz       6185 s          0 s        308 s       1617 s          0 s
  Memory: 6.769481658935547 GB (5048.94140625 MB free)
  Uptime: 818.48 sec
  Load Avg:  1.02  1.18  0.87
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Baseline

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       5392 s          0 s        359 s       5495 s          0 s
       #2  2593 MHz       6269 s          0 s        349 s       4602 s          0 s
  Memory: 6.769481658935547 GB (3174.51953125 MB free)
  Uptime: 1130.55 sec
  Load Avg:  1.06  1.14  0.96
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Target result

Benchmark Report for /home/runner/work/ExplainableAI.jl/ExplainableAI.jl

Job Properties

  • Time of benchmark: 23 Aug 2023 - 14:55
  • Package commit: d9a1b8
  • Julia commit: e4ee48
  • Julia command flags: None
  • Environment variables: None

Results

Below is a table of this job's results, obtained by running the benchmarks.
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.
An empty cell means that the value was zero.

ID time GC time memory allocations
["CNN", "Gradient", "analyze"] 3.078 ms (5%) 5.51 MiB (1%) 874
["CNN", "Gradient", "construct analyzer"] 5.617 μs (5%) 4.59 KiB (1%) 82
["CNN", "InputTimesGradient", "analyze"] 3.017 ms (5%) 5.52 MiB (1%) 876
["CNN", "InputTimesGradient", "construct analyzer"] 5.583 μs (5%) 4.59 KiB (1%) 82
["CNN", "IntegratedGradients", "analyze"] 16.197 ms (5%) 26.20 MiB (1%) 3768
["CNN", "IntegratedGradients", "construct analyzer"] 5.417 μs (5%) 3.53 KiB (1%) 80
["CNN", "LREpsilonPlusFlat", "analyze"] 3.590 ms (5%) 5.23 MiB (1%) 1262
["CNN", "LREpsilonPlusFlat", "construct analyzer"] 157.602 μs (5%) 114.33 KiB (1%) 658
["CNN", "LRP", "analyze"] 2.479 ms (5%) 3.54 MiB (1%) 916
["CNN", "LRP", "construct analyzer"] 64.500 μs (5%) 55.74 KiB (1%) 444
["CNN", "SmoothGrad", "analyze"] 16.220 ms (5%) 26.16 MiB (1%) 3741
["CNN", "SmoothGrad", "construct analyzer"] 5.417 μs (5%) 3.53 KiB (1%) 80
["apply rule", "AlphaBetaRule", "Conv"] 607.506 μs (5%) 1.32 MiB (1%) 486
["apply rule", "AlphaBetaRule", "Dense"] 7.667 μs (5%) 14.12 KiB (1%) 34
["apply rule", "EpsilonRule", "Conv"] 147.500 μs (5%) 334.94 KiB (1%) 122
["apply rule", "EpsilonRule", "Dense"] 1.080 μs (5%) 288 bytes (1%) 3
["apply rule", "FlatRule", "Conv"] 146.901 μs (5%) 347.11 KiB (1%) 124
["apply rule", "FlatRule", "Dense"] 20.240 ns (5%)
["apply rule", "GammaRule", "Conv"] 146.204 μs (5%) 334.94 KiB (1%) 122
["apply rule", "GammaRule", "Dense"] 1.090 μs (5%) 288 bytes (1%) 3
["apply rule", "WSquareRule", "Conv"] 147.901 μs (5%) 347.11 KiB (1%) 124
["apply rule", "WSquareRule", "Dense"] 1.360 μs (5%) 176 bytes (1%) 5
["apply rule", "ZBoxRule", "Conv"] 450.704 μs (5%) 1014.69 KiB (1%) 366
["apply rule", "ZBoxRule", "Dense"] 5.860 μs (5%) 10.92 KiB (1%) 29
["apply rule", "ZPlusRule", "Conv"] 301.803 μs (5%) 686.98 KiB (1%) 246
["apply rule", "ZPlusRule", "Dense"] 3.843 μs (5%) 7.41 KiB (1%) 19
["apply rule", "ZeroRule", "Conv"] 148.102 μs (5%) 334.94 KiB (1%) 122
["apply rule", "ZeroRule", "Dense"] 1.080 μs (5%) 288 bytes (1%) 3
["modify layer", "AlphaBetaRule", "Conv"] 923.077 ns (5%) 1.56 KiB (1%) 12
["modify layer", "AlphaBetaRule", "Dense"] 3.575 μs (5%) 10.88 KiB (1%) 8
["modify layer", "EpsilonRule", "Conv"] 1.700 ns (5%)
["modify layer", "EpsilonRule", "Dense"] 1.700 ns (5%)
["modify layer", "FlatRule", "Conv"] 112.950 ns (5%) 400 bytes (1%) 3
["modify layer", "FlatRule", "Dense"] 604.255 ns (5%) 2.72 KiB (1%) 2
["modify layer", "GammaRule", "Conv"] 279.057 ns (5%) 400 bytes (1%) 3
["modify layer", "GammaRule", "Dense"] 1.170 μs (5%) 2.72 KiB (1%) 2
["modify layer", "WSquareRule", "Conv"] 221.318 ns (5%) 400 bytes (1%) 3
["modify layer", "WSquareRule", "Dense"] 871.476 ns (5%) 2.72 KiB (1%) 2
["modify layer", "ZBoxRule", "Conv"] 460.719 ns (5%) 800 bytes (1%) 6
["modify layer", "ZBoxRule", "Dense"] 1.710 μs (5%) 5.44 KiB (1%) 4
["modify layer", "ZPlusRule", "Conv"] 464.980 ns (5%) 800 bytes (1%) 6
["modify layer", "ZPlusRule", "Dense"] 1.730 μs (5%) 5.44 KiB (1%) 4
["modify layer", "ZeroRule", "Conv"] 1.699 ns (5%)
["modify layer", "ZeroRule", "Dense"] 1.699 ns (5%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["CNN", "Gradient"]
  • ["CNN", "InputTimesGradient"]
  • ["CNN", "IntegratedGradients"]
  • ["CNN", "LREpsilonPlusFlat"]
  • ["CNN", "LRP"]
  • ["CNN", "SmoothGrad"]
  • ["apply rule", "AlphaBetaRule"]
  • ["apply rule", "EpsilonRule"]
  • ["apply rule", "FlatRule"]
  • ["apply rule", "GammaRule"]
  • ["apply rule", "WSquareRule"]
  • ["apply rule", "ZBoxRule"]
  • ["apply rule", "ZPlusRule"]
  • ["apply rule", "ZeroRule"]
  • ["modify layer", "AlphaBetaRule"]
  • ["modify layer", "EpsilonRule"]
  • ["modify layer", "FlatRule"]
  • ["modify layer", "GammaRule"]
  • ["modify layer", "WSquareRule"]
  • ["modify layer", "ZBoxRule"]
  • ["modify layer", "ZPlusRule"]
  • ["modify layer", "ZeroRule"]

Julia versioninfo

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       2419 s          0 s        283 s       5424 s          0 s
       #2  2593 MHz       6185 s          0 s        308 s       1617 s          0 s
  Memory: 6.769481658935547 GB (5048.94140625 MB free)
  Uptime: 818.48 sec
  Load Avg:  1.02  1.18  0.87
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Baseline result

Benchmark Report for /home/runner/work/ExplainableAI.jl/ExplainableAI.jl

Job Properties

  • Time of benchmark: 23 Aug 2023 - 15:1
  • Package commit: 42df53
  • Julia commit: e4ee48
  • Julia command flags: None
  • Environment variables: None

Results

Below is a table of this job's results, obtained by running the benchmarks.
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.
An empty cell means that the value was zero.

ID time GC time memory allocations
["VGG11", "Gradient", "analyze"] 1.745 s (5%) 32.428 ms 1.10 GiB (1%) 1758
["VGG11", "Gradient", "construct analyzer"] 10.500 μs (5%) 8.02 KiB (1%) 157
["VGG11", "InputTimesGradient", "analyze"] 26.929 s (5%) 204.135 ms 1.48 GiB (1%) 6841091
["VGG11", "InputTimesGradient", "construct analyzer"] 10.500 μs (5%) 8.02 KiB (1%) 157
["VGG11", "IntegratedGradients", "analyze"] 8.051 s (5%) 90.007 ms 5.30 GiB (1%) 7508
["VGG11", "IntegratedGradients", "construct analyzer"] 10.200 μs (5%) 6.05 KiB (1%) 155
["VGG11", "LREpsilonPlusFlat", "analyze"] 2.161 s (5%) 36.129 ms 1.08 GiB (1%) 2740
["VGG11", "LREpsilonPlusFlat", "construct analyzer"] 36.645 ms (5%) 70.52 MiB (1%) 1257
["VGG11", "LRP", "analyze"] 1.598 s (5%) 11.452 ms 761.91 MiB (1%) 1881
["VGG11", "LRP", "construct analyzer"] 131.401 μs (5%) 124.66 KiB (1%) 868
["VGG11", "SmoothGrad", "analyze"] 8.319 s (5%) 142.815 ms 5.30 GiB (1%) 55007
["VGG11", "SmoothGrad", "construct analyzer"] 10.200 μs (5%) 6.05 KiB (1%) 155
["apply rule", "AlphaBetaRule", "Conv"] 1.996 ms (5%) 5.48 MiB (1%) 506
["apply rule", "AlphaBetaRule", "Dense"] 228.469 μs (5%) 800.94 KiB (1%) 38
["apply rule", "EpsilonRule", "Conv"] 481.004 μs (5%) 1.36 MiB (1%) 127
["apply rule", "EpsilonRule", "Dense"] 18.820 μs (5%) 1.45 KiB (1%) 3
["apply rule", "FlatRule", "Conv"] 489.004 μs (5%) 1.41 MiB (1%) 130
["apply rule", "FlatRule", "Dense"] 75.953 ns (5%)
["apply rule", "GammaRule", "Conv"] 481.605 μs (5%) 1.36 MiB (1%) 127
["apply rule", "GammaRule", "Dense"] 18.810 μs (5%) 1.45 KiB (1%) 3
["apply rule", "WSquareRule", "Conv"] 489.004 μs (5%) 1.41 MiB (1%) 130
["apply rule", "WSquareRule", "Dense"] 19.490 μs (5%) 576 bytes (1%) 5
["apply rule", "ZBoxRule", "Conv"] 1.484 ms (5%) 4.12 MiB (1%) 381
["apply rule", "ZBoxRule", "Dense"] 123.901 μs (5%) 602.48 KiB (1%) 32
["apply rule", "ZPlusRule", "Conv"] 985.008 μs (5%) 2.79 MiB (1%) 257
["apply rule", "ZPlusRule", "Dense"] 78.272 μs (5%) 402.55 KiB (1%) 21
["apply rule", "ZeroRule", "Conv"] 482.603 μs (5%) 1.36 MiB (1%) 127
["apply rule", "ZeroRule", "Dense"] 18.800 μs (5%) 1.45 KiB (1%) 3
["modify layer", "AlphaBetaRule", "Conv"] 892.308 ns (5%) 1.56 KiB (1%) 12
["modify layer", "AlphaBetaRule", "Dense"] 81.751 μs (5%) 783.38 KiB (1%) 12
["modify layer", "EpsilonRule", "Conv"] 1.700 ns (5%)
["modify layer", "EpsilonRule", "Dense"] 1.700 ns (5%)
["modify layer", "FlatRule", "Conv"] 112.297 ns (5%) 400 bytes (1%) 3
["modify layer", "FlatRule", "Dense"] 21.176 μs (5%) 195.84 KiB (1%) 3
["modify layer", "GammaRule", "Conv"] 280.747 ns (5%) 400 bytes (1%) 3
["modify layer", "GammaRule", "Dense"] 21.510 μs (5%) 195.84 KiB (1%) 3
["modify layer", "WSquareRule", "Conv"] 215.506 ns (5%) 400 bytes (1%) 3
["modify layer", "WSquareRule", "Dense"] 20.343 μs (5%) 195.84 KiB (1%) 3
["modify layer", "ZBoxRule", "Conv"] 451.026 ns (5%) 800 bytes (1%) 6
["modify layer", "ZBoxRule", "Dense"] 38.580 μs (5%) 391.69 KiB (1%) 6
["modify layer", "ZPlusRule", "Conv"] 445.183 ns (5%) 800 bytes (1%) 6
["modify layer", "ZPlusRule", "Dense"] 38.700 μs (5%) 391.69 KiB (1%) 6
["modify layer", "ZeroRule", "Conv"] 1.700 ns (5%)
["modify layer", "ZeroRule", "Dense"] 1.700 ns (5%)

Benchmark Group List

Here's a list of all the benchmark groups executed by this job:

  • ["VGG11", "Gradient"]
  • ["VGG11", "InputTimesGradient"]
  • ["VGG11", "IntegratedGradients"]
  • ["VGG11", "LREpsilonPlusFlat"]
  • ["VGG11", "LRP"]
  • ["VGG11", "SmoothGrad"]
  • ["apply rule", "AlphaBetaRule"]
  • ["apply rule", "EpsilonRule"]
  • ["apply rule", "FlatRule"]
  • ["apply rule", "GammaRule"]
  • ["apply rule", "WSquareRule"]
  • ["apply rule", "ZBoxRule"]
  • ["apply rule", "ZPlusRule"]
  • ["apply rule", "ZeroRule"]
  • ["modify layer", "AlphaBetaRule"]
  • ["modify layer", "EpsilonRule"]
  • ["modify layer", "FlatRule"]
  • ["modify layer", "GammaRule"]
  • ["modify layer", "WSquareRule"]
  • ["modify layer", "ZBoxRule"]
  • ["modify layer", "ZPlusRule"]
  • ["modify layer", "ZeroRule"]

Julia versioninfo

Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.3 LTS
  uname: Linux 5.15.0-1041-azure #48-Ubuntu SMP Tue Jun 20 20:34:08 UTC 2023 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2593 MHz       5392 s          0 s        359 s       5495 s          0 s
       #2  2593 MHz       6269 s          0 s        349 s       4602 s          0 s
  Memory: 6.769481658935547 GB (3174.51953125 MB free)
  Uptime: 1130.55 sec
  Load Avg:  1.06  1.14  0.96
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, skylake-avx512)
  Threads: 1 on 2 virtual cores

Runtime information

Runtime Info
BLAS #threads 1
BLAS.vendor() lbt
Sys.CPU_THREADS 2

lscpu output:

Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Address sizes:                   46 bits physical, 48 bits virtual
Byte Order:                      Little Endian
CPU(s):                          2
On-line CPU(s) list:             0,1
Vendor ID:                       GenuineIntel
Model name:                      Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
CPU family:                      6
Model:                           85
Thread(s) per core:              1
Core(s) per socket:              2
Socket(s):                       1
Stepping:                        7
BogoMIPS:                        5187.81
Flags:                           fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology cpuid pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti fsgsbase bmi1 hle avx2 smep bmi2 erms invpcid rtm avx512f avx512dq rdseed adx smap clflushopt avx512cd avx512bw avx512vl xsaveopt xsavec xsaves md_clear
Hypervisor vendor:               Microsoft
Virtualization type:             full
L1d cache:                       64 KiB (2 instances)
L1i cache:                       64 KiB (2 instances)
L2 cache:                        2 MiB (2 instances)
L3 cache:                        35.8 MiB (1 instance)
NUMA node(s):                    1
NUMA node0 CPU(s):               0,1
Vulnerability Itlb multihit:     KVM: Mitigation: VMX unsupported
Vulnerability L1tf:              Mitigation; PTE Inversion
Vulnerability Mds:               Mitigation; Clear CPU buffers; SMT Host state unknown
Vulnerability Meltdown:          Mitigation; PTI
Vulnerability Mmio stale data:   Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Retbleed:          Vulnerable
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1:        Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2:        Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; Clear CPU buffers; SMT Host state unknown
Cpu Property Value
Brand Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
Vendor :Intel
Architecture :Skylake
Model Family: 0x06, Model: 0x55, Stepping: 0x07, Type: 0x00
Cores 2 physical cores, 2 logical cores (on executing CPU)
No Hyperthreading hardware capability detected
Clock Frequencies Not supported by CPU
Data Cache Level 1:3 : (32, 1024, 36608) kbytes
64 byte cache line size
Address Size 48 bits virtual, 46 bits physical
SIMD 512 bit = 64 byte max. SIMD vector size
Time Stamp Counter TSC is accessible via rdtsc
TSC increased at every clock cycle (non-invariant TSC)
Perf. Monitoring Performance Monitoring Counters (PMC) are not supported
Hypervisor Yes, Microsoft

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