Return only `primal` when applying non-differentiable methods to `Dual` #169

adrhill · 2024-08-15T13:06:58Z

Closes #167 by conditionally generating dual overloads in overload_* functions.

codecov-commenter · 2024-08-15T13:11:31Z

⚠️ Please install the to ensure uploads and comments are reliably processed by Codecov.

Codecov Report

Attention: Patch coverage is 98.65229% with 5 lines in your changes missing coverage. Please review.

Project coverage is 91.39%. Comparing base (8251cb3) to head (005258c).

Files	Patch %	Lines
src/overloads/hessian_tracer.jl	96.80%	3 Missing ⚠️
src/overloads/gradient_tracer.jl	98.97%	1 Missing ⚠️
test/test_gradient.jl	98.90%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #169      +/-   ##
==========================================
- Coverage   91.65%   91.39%   -0.27%     
==========================================
  Files          37       37              
  Lines        1786     1801      +15     
==========================================
+ Hits         1637     1646       +9     
- Misses        149      155       +6

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based on type of differentiability of an operator

github-actions · 2024-08-16T17:03:50Z

Benchmark result

Judge result

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

Job Properties

Time of benchmarks:
- Target: 16 Aug 2024 - 16:59
- Baseline: 16 Aug 2024 - 17:03
Package commits:
- Target: 931417
- Baseline: 8251cb
Julia commits:
- Target: 48d4fd
- Baseline: 48d4fd
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
`["bench_jogger.jl", "Hessian", "Global", "ArrowHead", "N=3200, K=2"]`	1.07 (5%) ❌	1.00 (1%)
`["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead", "N=3200, K=2"]`	0.90 (5%) ✅	0.91 (1%) ✅
`["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity", "N=400, K=2"]`	1.01 (5%)	1.03 (1%) ❌
`["bench_jogger.jl", "Hessian", "Local", "ArrowHead", "N=3200, K=2"]`	1.03 (5%)	0.99 (1%) ✅
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator", "N=24"]`	0.95 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator", "N=6"]`	0.93 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Global", "Conv", "N=128"]`	1.17 (5%) ❌	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Global", "SparseMul", "n=50, p=0.01, depth=5"]`	0.94 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Global", "SparseMul", "n=50, p=0.25, depth=5"]`	0.92 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE", "N=6"]`	0.95 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator", "N=6"]`	0.93 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Local", "Conv", "N=128"]`	1.20 (5%) ❌	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Local", "SparseMul", "n=50, p=0.01, depth=5"]`	0.95 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "Jacobian", "Local", "SparseMul", "n=50, p=0.25, depth=5"]`	0.93 (5%) ✅	1.00 (1%)
`["bench_jogger.jl", "OptimizationProblems", "britgas", "Jacobian"]`	0.75 (5%) ✅	1.00 (1%)

Benchmark Group List

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

["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Global", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Global", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Local", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Local", "RandomSparsity"]
["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE"]
["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator"]
["bench_jogger.jl", "Jacobian", "Global", "Conv"]
["bench_jogger.jl", "Jacobian", "Global", "SparseMul"]
["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE"]
["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator"]
["bench_jogger.jl", "Jacobian", "Local", "Conv"]
["bench_jogger.jl", "Jacobian", "Local", "SparseMul"]
["bench_jogger.jl", "OptimizationProblems", "britgas"]

Julia versioninfo

Target

Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 6.5.0-1025-azure #26~22.04.1-Ubuntu SMP Thu Jul 11 22:33:04 UTC 2024 x86_64 x86_64
  CPU: AMD EPYC 7763 64-Core Processor: 
              speed         user         nice          sys         idle          irq
       #1  3031 MHz       3573 s          0 s        295 s       5757 s          0 s
       #2  2933 MHz       3354 s          0 s        254 s       6012 s          0 s
       #3  2445 MHz       3795 s          0 s        276 s       5555 s          0 s
       #4  3243 MHz       3325 s          0 s        276 s       6029 s          0 s
  Memory: 15.606491088867188 GB (13451.59375 MB free)
  Uptime: 966.17 sec
  Load Avg:  1.06  1.29  1.11
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)

Baseline

Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 6.5.0-1025-azure #26~22.04.1-Ubuntu SMP Thu Jul 11 22:33:04 UTC 2024 x86_64 x86_64
  CPU: AMD EPYC 7763 64-Core Processor: 
              speed         user         nice          sys         idle          irq
       #1  3249 MHz       4156 s          0 s        342 s       7929 s          0 s
       #2  3243 MHz       3730 s          0 s        302 s       8388 s          0 s
       #3  2445 MHz       4785 s          0 s        341 s       7302 s          0 s
       #4  2445 MHz       4068 s          0 s        336 s       8028 s          0 s
  Memory: 15.606491088867188 GB (13354.5859375 MB free)
  Uptime: 1246.97 sec
  Load Avg:  1.03  1.13  1.08
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)

Target result

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

Job Properties

Time of benchmark: 16 Aug 2024 - 16:59
Package commit: 931417
Julia commit: 48d4fd
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
`["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead", "N=200, K=16"]`	1.888 ms (5%)		2.71 MiB (1%)	22444
`["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead", "N=3200, K=2"]`	6.675 ms (5%)		17.28 MiB (1%)	88858
`["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity", "N=100, K=32"]`	1.804 ms (5%)		1.73 MiB (1%)	7172
`["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity", "N=400, K=2"]`	347.086 μs (5%)		592.38 KiB (1%)	5331
`["bench_jogger.jl", "Hessian", "Global", "ArrowHead", "N=200, K=16"]`	6.993 ms (5%)		14.26 MiB (1%)	98970
`["bench_jogger.jl", "Hessian", "Global", "ArrowHead", "N=3200, K=2"]`	68.881 ms (5%)	3.656 ms	143.19 MiB (1%)	271798
`["bench_jogger.jl", "Hessian", "Global", "RandomSparsity", "N=100, K=32"]`	5.079 ms (5%)		7.06 MiB (1%)	33545
`["bench_jogger.jl", "Hessian", "Global", "RandomSparsity", "N=400, K=2"]`	4.784 ms (5%)		9.17 MiB (1%)	16637
`["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead", "N=200, K=16"]`	1.883 ms (5%)		2.75 MiB (1%)	24509
`["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead", "N=3200, K=2"]`	6.172 ms (5%)		15.94 MiB (1%)	79258
`["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity", "N=100, K=32"]`	1.814 ms (5%)		1.76 MiB (1%)	7274
`["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity", "N=400, K=2"]`	362.755 μs (5%)		639.50 KiB (1%)	5733
`["bench_jogger.jl", "Hessian", "Local", "ArrowHead", "N=200, K=16"]`	6.863 ms (5%)		14.30 MiB (1%)	101035
`["bench_jogger.jl", "Hessian", "Local", "ArrowHead", "N=3200, K=2"]`	64.661 ms (5%)	3.326 ms	141.85 MiB (1%)	262198
`["bench_jogger.jl", "Hessian", "Local", "RandomSparsity", "N=100, K=32"]`	4.991 ms (5%)		7.09 MiB (1%)	33647
`["bench_jogger.jl", "Hessian", "Local", "RandomSparsity", "N=400, K=2"]`	4.702 ms (5%)		9.22 MiB (1%)	17039
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE", "N=24"]`	2.517 ms (5%)		5.83 MiB (1%)	59354
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE", "N=6"]`	140.722 μs (5%)		256.97 KiB (1%)	2853
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator", "N=24"]`	937.464 μs (5%)		2.06 MiB (1%)	22268
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator", "N=6"]`	51.255 μs (5%)		102.56 KiB (1%)	1182
`["bench_jogger.jl", "Jacobian", "Global", "Conv", "N=128"]`	2.629 s (5%)	456.761 ms	18.61 GiB (1%)	11476661
`["bench_jogger.jl", "Jacobian", "Global", "Conv", "N=28"]`	20.025 ms (5%)		63.29 MiB (1%)	414354
`["bench_jogger.jl", "Jacobian", "Global", "SparseMul", "n=50, p=0.01, depth=5"]`	8.636 μs (5%)		17.27 KiB (1%)	146
`["bench_jogger.jl", "Jacobian", "Global", "SparseMul", "n=50, p=0.25, depth=5"]`	270.133 μs (5%)		529.28 KiB (1%)	5814
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE", "N=24"]`	2.584 ms (5%)		5.94 MiB (1%)	59358
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE", "N=6"]`	142.785 μs (5%)		264.27 KiB (1%)	2854
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator", "N=24"]`	974.823 μs (5%)		2.14 MiB (1%)	22274
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator", "N=6"]`	53.149 μs (5%)		107.31 KiB (1%)	1185
`["bench_jogger.jl", "Jacobian", "Local", "Conv", "N=128"]`	2.591 s (5%)	460.252 ms	18.62 GiB (1%)	11476670
`["bench_jogger.jl", "Jacobian", "Local", "Conv", "N=28"]`	20.312 ms (5%)		63.41 MiB (1%)	414363
`["bench_jogger.jl", "Jacobian", "Local", "SparseMul", "n=50, p=0.01, depth=5"]`	9.237 μs (5%)		23.06 KiB (1%)	149
`["bench_jogger.jl", "Jacobian", "Local", "SparseMul", "n=50, p=0.25, depth=5"]`	275.222 μs (5%)		535.08 KiB (1%)	5817
`["bench_jogger.jl", "OptimizationProblems", "britgas", "Hessian"]`	3.850 ms (5%)		7.81 MiB (1%)	23269
`["bench_jogger.jl", "OptimizationProblems", "britgas", "Jacobian"]`	266.635 μs (5%)		467.03 KiB (1%)	5669

Benchmark Group List

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

["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Global", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Global", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Local", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Local", "RandomSparsity"]
["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE"]
["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator"]
["bench_jogger.jl", "Jacobian", "Global", "Conv"]
["bench_jogger.jl", "Jacobian", "Global", "SparseMul"]
["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE"]
["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator"]
["bench_jogger.jl", "Jacobian", "Local", "Conv"]
["bench_jogger.jl", "Jacobian", "Local", "SparseMul"]
["bench_jogger.jl", "OptimizationProblems", "britgas"]

Julia versioninfo

Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 6.5.0-1025-azure #26~22.04.1-Ubuntu SMP Thu Jul 11 22:33:04 UTC 2024 x86_64 x86_64
  CPU: AMD EPYC 7763 64-Core Processor: 
              speed         user         nice          sys         idle          irq
       #1  3031 MHz       3573 s          0 s        295 s       5757 s          0 s
       #2  2933 MHz       3354 s          0 s        254 s       6012 s          0 s
       #3  2445 MHz       3795 s          0 s        276 s       5555 s          0 s
       #4  3243 MHz       3325 s          0 s        276 s       6029 s          0 s
  Memory: 15.606491088867188 GB (13451.59375 MB free)
  Uptime: 966.17 sec
  Load Avg:  1.06  1.29  1.11
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)

Baseline result

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

Job Properties

Time of benchmark: 16 Aug 2024 - 17:3
Package commit: 8251cb
Julia commit: 48d4fd
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
`["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead", "N=200, K=16"]`	1.923 ms (5%)		2.71 MiB (1%)	22444
`["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead", "N=3200, K=2"]`	6.629 ms (5%)		17.28 MiB (1%)	88858
`["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity", "N=100, K=32"]`	1.822 ms (5%)		1.73 MiB (1%)	7172
`["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity", "N=400, K=2"]`	349.983 μs (5%)		592.38 KiB (1%)	5331
`["bench_jogger.jl", "Hessian", "Global", "ArrowHead", "N=200, K=16"]`	6.725 ms (5%)		14.26 MiB (1%)	98970
`["bench_jogger.jl", "Hessian", "Global", "ArrowHead", "N=3200, K=2"]`	64.661 ms (5%)	3.149 ms	143.19 MiB (1%)	271798
`["bench_jogger.jl", "Hessian", "Global", "RandomSparsity", "N=100, K=32"]`	4.903 ms (5%)		7.06 MiB (1%)	33545
`["bench_jogger.jl", "Hessian", "Global", "RandomSparsity", "N=400, K=2"]`	4.664 ms (5%)		9.17 MiB (1%)	16637
`["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead", "N=200, K=16"]`	1.962 ms (5%)		2.72 MiB (1%)	22446
`["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead", "N=3200, K=2"]`	6.840 ms (5%)		17.50 MiB (1%)	88862
`["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity", "N=100, K=32"]`	1.835 ms (5%)		1.76 MiB (1%)	7174
`["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity", "N=400, K=2"]`	360.762 μs (5%)		620.75 KiB (1%)	5333
`["bench_jogger.jl", "Hessian", "Local", "ArrowHead", "N=200, K=16"]`	6.772 ms (5%)		14.28 MiB (1%)	98972
`["bench_jogger.jl", "Hessian", "Local", "ArrowHead", "N=3200, K=2"]`	62.499 ms (5%)		143.41 MiB (1%)	271802
`["bench_jogger.jl", "Hessian", "Local", "RandomSparsity", "N=100, K=32"]`	4.930 ms (5%)		7.09 MiB (1%)	33547
`["bench_jogger.jl", "Hessian", "Local", "RandomSparsity", "N=400, K=2"]`	4.662 ms (5%)		9.20 MiB (1%)	16639
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE", "N=24"]`	2.649 ms (5%)		5.83 MiB (1%)	59354
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE", "N=6"]`	144.949 μs (5%)		256.97 KiB (1%)	2853
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator", "N=24"]`	988.563 μs (5%)		2.06 MiB (1%)	22268
`["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator", "N=6"]`	54.922 μs (5%)		102.56 KiB (1%)	1182
`["bench_jogger.jl", "Jacobian", "Global", "Conv", "N=128"]`	2.239 s (5%)	338.532 ms	18.61 GiB (1%)	11476661
`["bench_jogger.jl", "Jacobian", "Global", "Conv", "N=28"]`	19.137 ms (5%)		63.29 MiB (1%)	414354
`["bench_jogger.jl", "Jacobian", "Global", "SparseMul", "n=50, p=0.01, depth=5"]`	9.227 μs (5%)		17.27 KiB (1%)	146
`["bench_jogger.jl", "Jacobian", "Global", "SparseMul", "n=50, p=0.25, depth=5"]`	292.043 μs (5%)		529.28 KiB (1%)	5814
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE", "N=24"]`	2.681 ms (5%)		5.94 MiB (1%)	59360
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE", "N=6"]`	150.840 μs (5%)		264.45 KiB (1%)	2856
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator", "N=24"]`	1.025 ms (5%)		2.14 MiB (1%)	22274
`["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator", "N=6"]`	57.387 μs (5%)		107.31 KiB (1%)	1185
`["bench_jogger.jl", "Jacobian", "Local", "Conv", "N=128"]`	2.151 s (5%)	322.381 ms	18.62 GiB (1%)	11476670
`["bench_jogger.jl", "Jacobian", "Local", "Conv", "N=28"]`	20.172 ms (5%)		63.41 MiB (1%)	414363
`["bench_jogger.jl", "Jacobian", "Local", "SparseMul", "n=50, p=0.01, depth=5"]`	9.748 μs (5%)		23.06 KiB (1%)	149
`["bench_jogger.jl", "Jacobian", "Local", "SparseMul", "n=50, p=0.25, depth=5"]`	297.044 μs (5%)		535.08 KiB (1%)	5817
`["bench_jogger.jl", "OptimizationProblems", "britgas", "Hessian"]`	3.993 ms (5%)		7.81 MiB (1%)	23269
`["bench_jogger.jl", "OptimizationProblems", "britgas", "Jacobian"]`	354.290 μs (5%)		467.03 KiB (1%)	5669

Benchmark Group List

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

["bench_jogger.jl", "Hessian", "Global shared", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Global shared", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Global", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Global", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Local shared", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Local shared", "RandomSparsity"]
["bench_jogger.jl", "Hessian", "Local", "ArrowHead"]
["bench_jogger.jl", "Hessian", "Local", "RandomSparsity"]
["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "ODE"]
["bench_jogger.jl", "Jacobian", "Global", "Brusselator", "operator"]
["bench_jogger.jl", "Jacobian", "Global", "Conv"]
["bench_jogger.jl", "Jacobian", "Global", "SparseMul"]
["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "ODE"]
["bench_jogger.jl", "Jacobian", "Local", "Brusselator", "operator"]
["bench_jogger.jl", "Jacobian", "Local", "Conv"]
["bench_jogger.jl", "Jacobian", "Local", "SparseMul"]
["bench_jogger.jl", "OptimizationProblems", "britgas"]

Julia versioninfo

Julia Version 1.10.4
Commit 48d4fd48430 (2024-06-04 10:41 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
      Ubuntu 22.04.4 LTS
  uname: Linux 6.5.0-1025-azure #26~22.04.1-Ubuntu SMP Thu Jul 11 22:33:04 UTC 2024 x86_64 x86_64
  CPU: AMD EPYC 7763 64-Core Processor: 
              speed         user         nice          sys         idle          irq
       #1  3249 MHz       4156 s          0 s        342 s       7929 s          0 s
       #2  3243 MHz       3730 s          0 s        302 s       8388 s          0 s
       #3  2445 MHz       4785 s          0 s        341 s       7302 s          0 s
       #4  2445 MHz       4068 s          0 s        336 s       8028 s          0 s
  Memory: 15.606491088867188 GB (13354.5859375 MB free)
  Uptime: 1246.97 sec
  Load Avg:  1.03  1.13  1.08
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, znver3)
Threads: 1 default, 0 interactive, 1 GC (on 4 virtual cores)

Runtime information

Runtime Info
BLAS #threads	2
`BLAS.vendor()`	`lbt`
`Sys.CPU_THREADS`	4

lscpu output:

Architecture:                       x86_64
CPU op-mode(s):                     32-bit, 64-bit
Address sizes:                      48 bits physical, 48 bits virtual
Byte Order:                         Little Endian
CPU(s):                             4
On-line CPU(s) list:                0-3
Vendor ID:                          AuthenticAMD
Model name:                         AMD EPYC 7763 64-Core Processor
CPU family:                         25
Model:                              1
Thread(s) per core:                 2
Core(s) per socket:                 2
Socket(s):                          1
Stepping:                           1
BogoMIPS:                           4890.86
Flags:                              fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl tsc_reliable nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm cmp_legacy svm cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw topoext invpcid_single vmmcall fsgsbase bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves clzero xsaveerptr rdpru arat npt nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold v_vmsave_vmload umip vaes vpclmulqdq rdpid fsrm
Virtualization:                     AMD-V
Hypervisor vendor:                  Microsoft
Virtualization type:                full
L1d cache:                          64 KiB (2 instances)
L1i cache:                          64 KiB (2 instances)
L2 cache:                           1 MiB (2 instances)
L3 cache:                           32 MiB (1 instance)
NUMA node(s):                       1
NUMA node0 CPU(s):                  0-3
Vulnerability Gather data sampling: Not affected
Vulnerability Itlb multihit:        Not affected
Vulnerability L1tf:                 Not affected
Vulnerability Mds:                  Not affected
Vulnerability Meltdown:             Not affected
Vulnerability Mmio stale data:      Not affected
Vulnerability Retbleed:             Not affected
Vulnerability Spec rstack overflow: Vulnerable: Safe RET, no microcode
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; BHI Not affected
Vulnerability Srbds:                Not affected
Vulnerability Tsx async abort:      Not affected

Cpu Property	Value
Brand	AMD EPYC 7763 64-Core Processor
Vendor	:AMD
Architecture	:Unknown
Model	Family: 0xaf, Model: 0x01, Stepping: 0x01, Type: 0x00
Cores	16 physical cores, 16 logical cores (on executing CPU)
	No Hyperthreading hardware capability detected
Clock Frequencies	Not supported by CPU
Data Cache	Level 1:3 : (32, 512, 32768) kbytes
	64 byte cache line size
Address Size	48 bits virtual, 48 bits physical
SIMD	256 bit = 32 byte max. SIMD vector size
Time Stamp Counter	TSC is accessible via `rdtsc`
	TSC runs at constant rate (invariant from clock frequency)
Perf. Monitoring	Performance Monitoring Counters (PMC) are not supported
Hypervisor	Yes, Microsoft

Return only primal on non-diff Dual methods

0ff7b71

adrhill added 16 commits August 15, 2024 15:48

Update tests

43a01e0

Remove dead code

00a72ba

Make comparisons regular operators

5a253d5

Fewer overloads

f89694c

Revert random sampling of Dual

0fb2e50

Add more named testsets

f3f037d

Moduleless overloads

06b7d72

Use @eval instead of quotes

4bcd08c

More named testsets

11953ab

Rewrite overloads

01e7b3a

Refactor overloads

23a7462

Revert to quote-based approach

6ada1fc

Minor fixes

6e7268a

Generate different overloads

d875b0f

based on type of differentiability of an operator

Get rid of ambiguity errors on isless

cd21200

Add conditional overloads to HessianTracer

f22c333

adrhill marked this pull request as ready for review August 16, 2024 16:07

Bring back operator lists for classification tests

e3f1ebe

adrhill added the run benchmark Run benchmarks in CI label Aug 16, 2024

adrhill added 2 commits August 16, 2024 18:32

Fix for 1.6

61773e1

Fix for Julia 1.6

005258c

adrhill merged commit 2cad635 into main Aug 16, 2024
6 checks passed

adrhill deleted the ah/return-only-primal branch August 16, 2024 22:46

adrhill referenced this pull request Aug 20, 2024

SparseConnectivityTracer v0.6.2

1cbade6

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Return only `primal` when applying non-differentiable methods to `Dual` #169

Return only `primal` when applying non-differentiable methods to `Dual` #169

adrhill commented Aug 15, 2024 •

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github-actions bot commented Aug 16, 2024

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

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

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Return only primal when applying non-differentiable methods to Dual #169

Return only primal when applying non-differentiable methods to Dual #169

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github-actions bot commented Aug 16, 2024

Judge result

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

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

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

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Results

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Return only `primal` when applying non-differentiable methods to `Dual` #169

Return only `primal` when applying non-differentiable methods to `Dual` #169

adrhill commented Aug 15, 2024 •

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codecov-commenter commented Aug 15, 2024 •

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