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wrap applyeager with plain_array #48

Merged
merged 1 commit into from
Feb 16, 2020
Merged

wrap applyeager with plain_array #48

merged 1 commit into from
Feb 16, 2020

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johnnychen94
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@johnnychen94 johnnychen94 commented Jan 31, 2020 •
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It's more "eagerly" than contiguous, simplifies the codes and we can intuit the results more easily.

Previously there're operations followed by plain_array, contiguous and nothing. Since plain_array only strips the Offset wrapper on the top of contiguous, there shouldn't be any performance regression here.

P.S. upgrading to OffsetArrays 1.0 is a little challenge with the over-verbose test cases; one breaking change is axes(img_offset) now returns tuple of OffsetArrays.IdOffsetRange. (Before that it's Base.IdentityUnitRange in julia v1.0 or OffsetArrays.IdentityUnitRange in julia >= v1.1 ). Hence I decided to strip the OffsetArray wrapper for eager mode augmentation.

@Evizero This PR might diverge what you expected in #24

@johnnychen94 johnnychen94 added breaking change changes that should be handled carefully performance labels Jan 31, 2020
@johnnychen94
wrap applyeager with plain_array
551302e 
it's more "eagerly" than contiguous
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Benchmark result

Judge result

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

Job Properties

  • Time of benchmarks:
    • Target: 31 Jan 2020 - 07:07
    • Baseline: 31 Jan 2020 - 07:14
  • Package commits:
    • Target: d5c48b
    • Baseline: 84986a
  • Julia commits:
    • Target: 2d5741
    • Baseline: 2d5741
  • 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
["applyaffine", "Rotate270"] 0.93 (5%) ✅ 1.00 (1%)
["applyeager", "CacheImage"] 1.14 (5%) ❌ 1.00 (1%)
["applyeager", "CropNative"] 1.06 (5%) ❌ 1.00 (1%)
["applyeager", "CropRatio"] 1.18 (5%) ❌ 1.00 (1%)
["applyeager", "Either"] 1.08 (5%) ❌ 1.00 (1%)
["applyeager", "FlipX"] 1.11 (5%) ❌ 1.00 (1%)
["applyeager", "NoOp"] 0.87 (5%) ✅ 1.00 (1%)
["applyeager", "PermuteDims"] 1.28 (5%) ❌ 1.00 (1%)
["applyeager", "RCropRatio"] 1.06 (5%) ❌ 1.00 (1%)
["applyeager", "Resize"] 1.06 (5%) ❌ 1.00 (1%)
["applyeager", "Rotate90"] 1.09 (5%) ❌ 1.00 (1%)
["applylazy", "CropNative"] 0.90 (5%) ✅ 1.00 (1%)
["applylazy", "Either"] 1.06 (5%) ❌ 1.00 (1%)
["applylazy", "Rotate"] 0.93 (5%) ✅ 1.00 (1%)
["applylazy", "Rotate270"] 1.06 (5%) ❌ 1.00 (1%)
["applylazy", "Rotate90"] 1.06 (5%) ❌ 1.00 (1%)

Benchmark Group List

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

  • ["applyaffine"]
  • ["applyaffineview"]
  • ["applyeager"]
  • ["applylazy"]
  • ["augment!"]
  • ["augment"]

Julia versioninfo

Target

Julia Version 1.3.1
Commit 2d5741174c (2019-12-30 21:36 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
      Ubuntu 18.04.3 LTS
  uname: Linux 5.0.0-1028-azure #30~18.04.1-Ubuntu SMP Fri Dec 6 11:47:59 UTC 2019 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2095 MHz      21810 s          0 s       1876 s      80709 s          0 s
       #2  2095 MHz      77766 s          0 s       1820 s      24759 s          0 s
       
  Memory: 6.782741546630859 GB (3348.0703125 MB free)
  Uptime: 1063.0 sec
  Load Avg:  1.02783203125  1.04541015625  0.779296875
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)

Baseline

Julia Version 1.3.1
Commit 2d5741174c (2019-12-30 21:36 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
      Ubuntu 18.04.3 LTS
  uname: Linux 5.0.0-1028-azure #30~18.04.1-Ubuntu SMP Fri Dec 6 11:47:59 UTC 2019 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2095 MHz      45616 s          0 s       2062 s      95770 s          0 s
       #2  2095 MHz      93164 s          0 s       1995 s      48241 s          0 s
       
  Memory: 6.782741546630859 GB (3292.328125 MB free)
  Uptime: 1455.0 sec
  Load Avg:  1.03857421875  1.0712890625  0.91015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)

Target result

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

Job Properties

  • Time of benchmark: 31 Jan 2020 - 7:7
  • Package commit: d5c48b
  • Julia commit: 2d5741
  • 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
["applyaffine", "Either"] 3.425 ms (5%) 474.31 KiB (1%) 344
["applyaffine", "FlipX"] 3.335 ms (5%) 469.00 KiB (1%) 4
["applyaffine", "FlipY"] 3.334 ms (5%) 469.00 KiB (1%) 4
["applyaffine", "NoOp"] 3.332 ms (5%) 469.00 KiB (1%) 4
["applyaffine", "Rotate"] 10.748 ms (5%) 2.87 MiB (1%) 126522
["applyaffine", "Rotate180"] 3.483 ms (5%) 489.94 KiB (1%) 1168
["applyaffine", "Rotate270"] 3.493 ms (5%) 472.75 KiB (1%) 244
["applyaffine", "Rotate90"] 3.420 ms (5%) 474.31 KiB (1%) 344
["applyaffine", "Scale"] 4.188 ms (5%) 591.44 KiB (1%) 1540
["applyaffine", "ShearX"] 3.915 ms (5%) 637.75 KiB (1%) 8704
["applyaffine", "ShearY"] 4.194 ms (5%) 756.50 KiB (1%) 14804
["applyaffineview", "Crop"] 309.302 μs (5%) 39.20 KiB (1%) 3
["applyaffineview", "CropNative"] 309.202 μs (5%) 39.20 KiB (1%) 3
["applyaffineview", "CropRatio"] 2.746 ms (5%) 351.70 KiB (1%) 3
["applyaffineview", "CropSize"] 309.302 μs (5%) 39.20 KiB (1%) 3
["applyaffineview", "Either"] 3.610 ms (5%) 474.38 KiB (1%) 345
["applyaffineview", "FlipX"] 3.467 ms (5%) 469.06 KiB (1%) 5
["applyaffineview", "FlipY"] 3.457 ms (5%) 469.06 KiB (1%) 5
["applyaffineview", "NoOp"] 3.451 ms (5%) 469.06 KiB (1%) 5
["applyaffineview", "RCropRatio"] 2.746 ms (5%) 351.70 KiB (1%) 3
["applyaffineview", "Resize"] 292.502 μs (5%) 39.38 KiB (1%) 5
["applyaffineview", "Rotate"] 11.116 ms (5%) 2.87 MiB (1%) 126523
["applyaffineview", "Rotate180"] 3.612 ms (5%) 490.00 KiB (1%) 1169
["applyaffineview", "Rotate270"] 3.694 ms (5%) 472.81 KiB (1%) 245
["applyaffineview", "Rotate90"] 3.598 ms (5%) 474.38 KiB (1%) 345
["applyaffineview", "Scale"] 4.341 ms (5%) 591.50 KiB (1%) 1541
["applyaffineview", "ShearX"] 4.046 ms (5%) 637.81 KiB (1%) 8705
["applyaffineview", "ShearY"] 4.330 ms (5%) 756.56 KiB (1%) 14805
["applyaffineview", "Zoom"] 3.459 ms (5%) 469.06 KiB (1%) 5
["applyeager", "CacheImage"] 1.600 ns (5%)
["applyeager", "ConvertEltype"] 973.308 μs (5%) 2.75 MiB (1%) 120002
["applyeager", "Crop"] 2.725 μs (5%) 39.20 KiB (1%) 3
["applyeager", "CropNative"] 2.825 μs (5%) 39.20 KiB (1%) 3
["applyeager", "CropRatio"] 26.001 μs (5%) 351.70 KiB (1%) 3
["applyeager", "CropSize"] 2.763 μs (5%) 39.20 KiB (1%) 3
["applyeager", "Either"] 141.901 μs (5%) 468.86 KiB (1%) 3
["applyeager", "ElasticDistortion"] 9.684 ms (5%) 520.23 KiB (1%) 108
["applyeager", "FlipX"] 39.100 μs (5%) 468.94 KiB (1%) 4
["applyeager", "FlipY"] 98.901 μs (5%) 468.83 KiB (1%) 2
["applyeager", "NoOp"] 1.400 ns (5%)
["applyeager", "PermuteDims"] 80.600 μs (5%) 468.83 KiB (1%) 2
["applyeager", "RCropRatio"] 29.700 μs (5%) 351.70 KiB (1%) 3
["applyeager", "Reshape"] 37.802 ns (5%) 96 bytes (1%) 2
["applyeager", "Resize"] 313.002 μs (5%) 508.00 KiB (1%) 5
["applyeager", "Rotate"] 10.989 ms (5%) 2.87 MiB (1%) 126526
["applyeager", "Rotate180"] 118.601 μs (5%) 468.83 KiB (1%) 2
["applyeager", "Rotate270"] 129.701 μs (5%) 468.83 KiB (1%) 2
["applyeager", "Rotate90"] 141.201 μs (5%) 468.83 KiB (1%) 2
["applyeager", "Scale"] 4.219 ms (5%) 591.66 KiB (1%) 1544
["applyeager", "ShearX"] 3.949 ms (5%) 637.97 KiB (1%) 8708
["applyeager", "ShearY"] 4.217 ms (5%) 756.72 KiB (1%) 14808
["applyeager", "SplitChannels"] 1.636 ms (5%) 469.03 KiB (1%) 5
["applyeager", "Zoom"] 3.454 ms (5%) 469.28 KiB (1%) 9
["applylazy", "ConvertEltype"] 463.003 μs (5%) 117.34 KiB (1%) 3
["applylazy", "Crop"] 3.263 μs (5%) 39.20 KiB (1%) 3
["applylazy", "CropNative"] 2.925 μs (5%) 39.20 KiB (1%) 3
["applylazy", "CropRatio"] 26.801 μs (5%) 351.70 KiB (1%) 3
["applylazy", "CropSize"] 3.087 μs (5%) 39.20 KiB (1%) 3
["applylazy", "Either"] 189.103 μs (5%) 469.02 KiB (1%) 5
["applylazy", "ElasticDistortion"] 9.802 ms (5%) 520.23 KiB (1%) 108
["applylazy", "FlipX"] 178.503 μs (5%) 468.91 KiB (1%) 3
["applylazy", "FlipY"] 178.701 μs (5%) 468.91 KiB (1%) 3
["applylazy", "NoOp"] 1.400 ns (5%)
["applylazy", "PermuteDims"] 203.901 μs (5%) 468.94 KiB (1%) 4
["applylazy", "RCropRatio"] 28.500 μs (5%) 351.70 KiB (1%) 3
["applylazy", "Reshape"] 37.803 ns (5%) 96 bytes (1%) 2
["applylazy", "Resize"] 292.205 μs (5%) 39.59 KiB (1%) 9
["applylazy", "Rotate"] 10.349 ms (5%) 2.87 MiB (1%) 126526
["applylazy", "Rotate180"] 177.801 μs (5%) 468.91 KiB (1%) 3
["applylazy", "Rotate270"] 189.001 μs (5%) 469.02 KiB (1%) 5
["applylazy", "Rotate90"] 187.401 μs (5%) 469.02 KiB (1%) 5
["applylazy", "Scale"] 4.189 ms (5%) 591.66 KiB (1%) 1544
["applylazy", "ShearX"] 3.904 ms (5%) 637.97 KiB (1%) 8708
["applylazy", "ShearY"] 4.191 ms (5%) 756.72 KiB (1%) 14808
["applylazy", "SplitChannels"] 1.638 ms (5%) 469.03 KiB (1%) 5
["applylazy", "Zoom"] 3.451 ms (5%) 469.28 KiB (1%) 9
["augment!", "lazyrotate"] 183.202 μs (5%) 272 bytes (1%) 4
["augment!", "resize"] 326.103 μs (5%) 1.19 KiB (1%) 17
["augment", "affine1"] 4.501 ms (5%) 790.34 KiB (1%) 16508
["augment", "affine2"] 3.337 ms (5%) 469.39 KiB (1%) 10
["augment", "affine3"] 3.339 ms (5%) 469.73 KiB (1%) 14
["augment", "lazycrop"] 1.134 ms (5%) 149.83 KiB (1%) 166
["augment", "lazyrotate"] 3.642 ms (5%) 487.77 KiB (1%) 1010
["augment", "resize"] 292.902 μs (5%) 40.30 KiB (1%) 18

Benchmark Group List

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

  • ["applyaffine"]
  • ["applyaffineview"]
  • ["applyeager"]
  • ["applylazy"]
  • ["augment!"]
  • ["augment"]

Julia versioninfo

Julia Version 1.3.1
Commit 2d5741174c (2019-12-30 21:36 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
      Ubuntu 18.04.3 LTS
  uname: Linux 5.0.0-1028-azure #30~18.04.1-Ubuntu SMP Fri Dec 6 11:47:59 UTC 2019 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2095 MHz      21810 s          0 s       1876 s      80709 s          0 s
       #2  2095 MHz      77766 s          0 s       1820 s      24759 s          0 s
       
  Memory: 6.782741546630859 GB (3348.0703125 MB free)
  Uptime: 1063.0 sec
  Load Avg:  1.02783203125  1.04541015625  0.779296875
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)

Baseline result

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

Job Properties

  • Time of benchmark: 31 Jan 2020 - 7:14
  • Package commit: 84986a
  • Julia commit: 2d5741
  • 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
["applyaffine", "Either"] 3.465 ms (5%) 474.31 KiB (1%) 344
["applyaffine", "FlipX"] 3.373 ms (5%) 469.00 KiB (1%) 4
["applyaffine", "FlipY"] 3.460 ms (5%) 469.00 KiB (1%) 4
["applyaffine", "NoOp"] 3.361 ms (5%) 469.00 KiB (1%) 4
["applyaffine", "Rotate"] 10.584 ms (5%) 2.87 MiB (1%) 126522
["applyaffine", "Rotate180"] 3.522 ms (5%) 489.94 KiB (1%) 1168
["applyaffine", "Rotate270"] 3.776 ms (5%) 472.75 KiB (1%) 244
["applyaffine", "Rotate90"] 3.453 ms (5%) 474.31 KiB (1%) 344
["applyaffine", "Scale"] 4.401 ms (5%) 591.44 KiB (1%) 1540
["applyaffine", "ShearX"] 3.953 ms (5%) 637.75 KiB (1%) 8704
["applyaffine", "ShearY"] 4.243 ms (5%) 756.50 KiB (1%) 14804
["applyaffineview", "Crop"] 295.403 μs (5%) 39.20 KiB (1%) 3
["applyaffineview", "CropNative"] 295.303 μs (5%) 39.20 KiB (1%) 3
["applyaffineview", "CropRatio"] 2.626 ms (5%) 351.70 KiB (1%) 3
["applyaffineview", "CropSize"] 295.303 μs (5%) 39.20 KiB (1%) 3
["applyaffineview", "Either"] 3.581 ms (5%) 474.38 KiB (1%) 345
["applyaffineview", "FlipX"] 3.497 ms (5%) 469.06 KiB (1%) 5
["applyaffineview", "FlipY"] 3.495 ms (5%) 469.06 KiB (1%) 5
["applyaffineview", "NoOp"] 3.494 ms (5%) 469.06 KiB (1%) 5
["applyaffineview", "RCropRatio"] 2.619 ms (5%) 351.70 KiB (1%) 3
["applyaffineview", "Resize"] 295.603 μs (5%) 39.38 KiB (1%) 5
["applyaffineview", "Rotate"] 11.198 ms (5%) 2.87 MiB (1%) 126523
["applyaffineview", "Rotate180"] 3.655 ms (5%) 490.00 KiB (1%) 1169
["applyaffineview", "Rotate270"] 3.655 ms (5%) 472.81 KiB (1%) 245
["applyaffineview", "Rotate90"] 3.588 ms (5%) 474.38 KiB (1%) 345
["applyaffineview", "Scale"] 4.393 ms (5%) 591.50 KiB (1%) 1541
["applyaffineview", "ShearX"] 4.100 ms (5%) 637.81 KiB (1%) 8705
["applyaffineview", "ShearY"] 4.392 ms (5%) 756.56 KiB (1%) 14805
["applyaffineview", "Zoom"] 3.491 ms (5%) 469.06 KiB (1%) 5
["applyeager", "CacheImage"] 1.400 ns (5%)
["applyeager", "ConvertEltype"] 960.913 μs (5%) 2.75 MiB (1%) 120002
["applyeager", "Crop"] 2.825 μs (5%) 39.23 KiB (1%) 4
["applyeager", "CropNative"] 2.675 μs (5%) 39.23 KiB (1%) 4
["applyeager", "CropRatio"] 22.100 μs (5%) 351.73 KiB (1%) 4
["applyeager", "CropSize"] 2.750 μs (5%) 39.23 KiB (1%) 4
["applyeager", "Either"] 130.902 μs (5%) 468.86 KiB (1%) 3
["applyeager", "ElasticDistortion"] 9.907 ms (5%) 520.23 KiB (1%) 108
["applyeager", "FlipX"] 35.100 μs (5%) 468.94 KiB (1%) 4
["applyeager", "FlipY"] 98.601 μs (5%) 468.83 KiB (1%) 2
["applyeager", "NoOp"] 1.600 ns (5%)
["applyeager", "PermuteDims"] 63.101 μs (5%) 468.83 KiB (1%) 2
["applyeager", "RCropRatio"] 27.901 μs (5%) 351.73 KiB (1%) 4
["applyeager", "Reshape"] 37.703 ns (5%) 96 bytes (1%) 2
["applyeager", "Resize"] 294.604 μs (5%) 508.00 KiB (1%) 5
["applyeager", "Rotate"] 11.003 ms (5%) 2.87 MiB (1%) 126527
["applyeager", "Rotate180"] 117.802 μs (5%) 468.83 KiB (1%) 2
["applyeager", "Rotate270"] 124.502 μs (5%) 468.83 KiB (1%) 2
["applyeager", "Rotate90"] 129.402 μs (5%) 468.83 KiB (1%) 2
["applyeager", "Scale"] 4.190 ms (5%) 591.69 KiB (1%) 1545
["applyeager", "ShearX"] 3.949 ms (5%) 638.00 KiB (1%) 8709
["applyeager", "ShearY"] 4.262 ms (5%) 756.75 KiB (1%) 14809
["applyeager", "SplitChannels"] 1.636 ms (5%) 469.03 KiB (1%) 5
["applyeager", "Zoom"] 3.452 ms (5%) 469.31 KiB (1%) 10
["applylazy", "ConvertEltype"] 463.005 μs (5%) 117.34 KiB (1%) 3
["applylazy", "Crop"] 3.263 μs (5%) 39.20 KiB (1%) 3
["applylazy", "CropNative"] 3.250 μs (5%) 39.20 KiB (1%) 3
["applylazy", "CropRatio"] 27.200 μs (5%) 351.70 KiB (1%) 3
["applylazy", "CropSize"] 3.225 μs (5%) 39.20 KiB (1%) 3
["applylazy", "Either"] 179.102 μs (5%) 469.02 KiB (1%) 5
["applylazy", "ElasticDistortion"] 9.934 ms (5%) 520.23 KiB (1%) 108
["applylazy", "FlipX"] 178.301 μs (5%) 468.91 KiB (1%) 3
["applylazy", "FlipY"] 177.702 μs (5%) 468.91 KiB (1%) 3
["applylazy", "NoOp"] 1.400 ns (5%)
["applylazy", "PermuteDims"] 205.202 μs (5%) 468.94 KiB (1%) 4
["applylazy", "RCropRatio"] 28.900 μs (5%) 351.70 KiB (1%) 3
["applylazy", "Reshape"] 37.703 ns (5%) 96 bytes (1%) 2
["applylazy", "Resize"] 292.503 μs (5%) 39.59 KiB (1%) 9
["applylazy", "Rotate"] 11.070 ms (5%) 2.87 MiB (1%) 126526
["applylazy", "Rotate180"] 177.902 μs (5%) 468.91 KiB (1%) 3
["applylazy", "Rotate270"] 178.602 μs (5%) 469.02 KiB (1%) 5
["applylazy", "Rotate90"] 176.902 μs (5%) 469.02 KiB (1%) 5
["applylazy", "Scale"] 4.193 ms (5%) 591.66 KiB (1%) 1544
["applylazy", "ShearX"] 4.007 ms (5%) 637.97 KiB (1%) 8708
["applylazy", "ShearY"] 4.301 ms (5%) 756.72 KiB (1%) 14808
["applylazy", "SplitChannels"] 1.639 ms (5%) 469.03 KiB (1%) 5
["applylazy", "Zoom"] 3.458 ms (5%) 469.28 KiB (1%) 9
["augment!", "lazyrotate"] 176.602 μs (5%) 272 bytes (1%) 4
["augment!", "resize"] 325.805 μs (5%) 1.19 KiB (1%) 17
["augment", "affine1"] 4.501 ms (5%) 790.38 KiB (1%) 16509
["augment", "affine2"] 3.340 ms (5%) 469.39 KiB (1%) 10
["augment", "affine3"] 3.339 ms (5%) 469.73 KiB (1%) 14
["augment", "lazycrop"] 1.119 ms (5%) 149.83 KiB (1%) 166
["augment", "lazyrotate"] 3.638 ms (5%) 487.77 KiB (1%) 1010
["augment", "resize"] 292.703 μs (5%) 40.30 KiB (1%) 18

Benchmark Group List

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

  • ["applyaffine"]
  • ["applyaffineview"]
  • ["applyeager"]
  • ["applylazy"]
  • ["augment!"]
  • ["augment"]

Julia versioninfo

Julia Version 1.3.1
Commit 2d5741174c (2019-12-30 21:36 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
      Ubuntu 18.04.3 LTS
  uname: Linux 5.0.0-1028-azure #30~18.04.1-Ubuntu SMP Fri Dec 6 11:47:59 UTC 2019 x86_64 x86_64
  CPU: Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz: 
              speed         user         nice          sys         idle          irq
       #1  2095 MHz      45616 s          0 s       2062 s      95770 s          0 s
       #2  2095 MHz      93164 s          0 s       1995 s      48241 s          0 s
       
  Memory: 6.782741546630859 GB (3292.328125 MB free)
  Uptime: 1455.0 sec
  Load Avg:  1.03857421875  1.0712890625  0.91015625
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)

Runtime information

Runtime Info
BLAS #threads 2
BLAS.vendor() openblas64
Sys.CPU_THREADS 2

lscpu output:

Architecture:        x86_64
CPU op-mode(s):      32-bit, 64-bit
Byte Order:          Little Endian
CPU(s):              2
On-line CPU(s) list: 0,1
Thread(s) per core:  1
Core(s) per socket:  2
Socket(s):           1
NUMA node(s):        1
Vendor ID:           GenuineIntel
CPU family:          6
Model:               85
Model name:          Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz
Stepping:            4
CPU MHz:             2095.082
BogoMIPS:            4190.16
Hypervisor vendor:   Microsoft
Virtualization type: full
L1d cache:           32K
L1i cache:           32K
L2 cache:            1024K
L3 cache:            36608K
NUMA node0 CPU(s):   0,1
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 mpx avx512f avx512dq rdseed adx smap clflushopt avx512cd avx512bw avx512vl xsaveopt xsavec xsaves
Cpu Property Value
Brand Intel(R) Xeon(R) Platinum 8171M CPU @ 2.60GHz
Vendor :Intel
Architecture :Skylake
Model Family: 0x06, Model: 0x55, Stepping: 0x04, Type: 0x00
Cores 2 physical cores, 2 logical cores (on executing CPU)
No Hyperthreading 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, 44 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

@johnnychen94 johnnychen94 added this to the v0.7 milestone Jan 31, 2020
@johnnychen94 johnnychen94 merged commit e126205 into master Feb 16, 2020
@johnnychen94 johnnychen94 deleted the jc/eager branch February 16, 2020 23:14
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