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Automatic build\nPublished by build of: SciML/SciMLBenchmarks.jl@42299dd
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JuliaLangBuildkite committed Dec 21, 2024
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36 changes: 18 additions & 18 deletions markdown/AutomaticDifferentiationSparse/ManualLoopDissusionSparseAD.md
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Original file line number Diff line number Diff line change
Expand Up @@ -135,53 +135,53 @@ Testing benchmarks
| 12 12 1m33.0s
| 12 12 1m30.6s
ADTypes.AutoEnzyme(mode=EnzymeCore.ReverseMode{false, false, EnzymeCore.F
FIABI, false, false}())
| 2 2 23.9s
| 2 2 23.4s
ADTypes.AutoEnzyme(mode=EnzymeCore.ForwardMode{false, EnzymeCore.FFIABI,
false, false}())
| 2 2 22.7s
| 2 2 22.5s
ADTypes.AutoMooncake{Nothing}(nothing)
| 2 2 34.8s
| 2 2 33.3s
ADTypes.AutoForwardDiff()
| 2 2 4.1s
| 2 2 4.0s
ADTypes.AutoSparse(dense_ad=ADTypes.AutoForwardDiff(), sparsity_detector=
SparseConnectivityTracer.TracerSparsityDetector(), coloring_algorithm=Spars
eMatrixColorings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.Nat
uralOrder}(SparseMatrixColorings.NaturalOrder()))
| 2 2 4.1s
| 2 2 4.0s
ADTypes.AutoSparse(dense_ad=ADTypes.AutoEnzyme(mode=EnzymeCore.ForwardMod
e{false, EnzymeCore.FFIABI, false, false}()), sparsity_detector=SparseConne
ctivityTracer.TracerSparsityDetector(), coloring_algorithm=SparseMatrixColo
rings.GreedyColoringAlgorithm{:direct, SparseMatrixColorings.NaturalOrder}(
SparseMatrixColorings.NaturalOrder())) | 2 2 3.2s
SparseMatrixColorings.NaturalOrder())) | 2 2 3.1s
```



| **backend** | **scenario** | **operator** | **prepared** | **calls** | **samples** | **evals** | **time** | **allocs** | **bytes** | **gc_fraction** | **compile_fraction** |
| ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:| -----------------------------------------------------------------------:| ------------------:| ------------:| ---------:| -----------:| ---------:| --------:| ----------:| ---------:| ---------------:| --------------------:|
| AutoEnzyme(mode=ReverseMode{false, false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 6.4e+01 | 1.9e+01 | 1.0e+00 | 4.3e-02 | 2.3e+03 | 2.8e+08 | 5.5e-02 | 0.0e+00 |
| AutoEnzyme(mode=ReverseMode{false, false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 6.3e+01 | 2.2e+01 | 1.0e+00 | 4.3e-02 | 2.3e+03 | 2.8e+08 | 4.9e-02 | 0.0e+00 |
| AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 6.3e+01 | 1.2e+02 | 1.0e+00 | 6.2e-03 | 3.2e+03 | 1.8e+07 | 0.0e+00 | 0.0e+00 |
| AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 6.3e+01 | 1.3e+02 | 1.0e+00 | 6.4e-03 | 3.2e+03 | 1.8e+07 | 0.0e+00 | 0.0e+00 |
| AutoMooncake{Nothing}(nothing) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 1.0e+00 | 2.0e+00 | 1.0e+00 | 6.0e-01 | 1.0e+04 | 4.0e+09 | 6.3e-02 | 0.0e+00 |
| AutoMooncake{Nothing}(nothing) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 0.0e+00 | 2.0e+00 | 1.0e+00 | 6.1e-01 | 1.0e+04 | 4.0e+09 | 6.5e-02 | 0.0e+00 |
| AutoEnzyme(mode=ReverseMode{false, false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 6.4e+01 | 2.0e+01 | 1.0e+00 | 4.4e-02 | 2.3e+03 | 2.8e+08 | 5.1e-02 | 0.0e+00 |
| AutoEnzyme(mode=ReverseMode{false, false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 6.3e+01 | 1.7e+01 | 1.0e+00 | 5.4e-02 | 2.3e+03 | 2.8e+08 | 8.8e-02 | 0.0e+00 |
| AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 6.3e+01 | 1.0e+02 | 1.0e+00 | 7.0e-03 | 3.2e+03 | 1.8e+07 | 0.0e+00 | 0.0e+00 |
| AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 6.3e+01 | 7.3e+01 | 1.0e+00 | 7.6e-03 | 3.2e+03 | 1.8e+07 | 0.0e+00 | 0.0e+00 |
| AutoMooncake{Nothing}(nothing) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 1.0e+00 | 2.0e+00 | 1.0e+00 | 6.0e-01 | 1.0e+04 | 4.0e+09 | 5.4e-02 | 0.0e+00 |
| AutoMooncake{Nothing}(nothing) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 0.0e+00 | 2.0e+00 | 1.0e+00 | 6.1e-01 | 1.0e+04 | 4.0e+09 | 5.7e-02 | 0.0e+00 |
| AutoForwardDiff() | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 8.5e+01 | 2.3e+02 | 1.0e+00 | 3.7e-03 | 1.7e+02 | 1.7e+07 | 0.0e+00 | 0.0e+00 |
| AutoForwardDiff() | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 8.4e+01 | 2.2e+02 | 1.0e+00 | 3.7e-03 | 1.7e+02 | 1.7e+07 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoForwardDiff(), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 2.0e+00 | 4.3e+04 | 1.0e+00 | 1.4e-05 | 8.0e+00 | 9.6e+04 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoForwardDiff(), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 1.0e+00 | 4.9e+04 | 1.0e+00 | 1.2e-05 | 7.0e+00 | 8.8e+04 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 2.0e+00 | 4.8e+04 | 1.0e+00 | 1.1e-05 | 1.0e+01 | 9.7e+04 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 1.0e+00 | 5.4e+04 | 1.0e+00 | 9.5e-06 | 9.0e+00 | 8.9e+04 | 0.0e+00 | 0.0e+00 |
| AutoForwardDiff() | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 8.4e+01 | 2.5e+02 | 1.0e+00 | 3.7e-03 | 1.7e+02 | 1.7e+07 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoForwardDiff(), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 2.0e+00 | 4.4e+04 | 1.0e+00 | 1.3e-05 | 8.0e+00 | 9.6e+04 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoForwardDiff(), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 1.0e+00 | 5.0e+04 | 1.0e+00 | 1.2e-05 | 7.0e+00 | 8.8e+04 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | value_and_jacobian | 1.0e+00 | 2.0e+00 | 4.8e+04 | 1.0e+00 | 1.2e-05 | 1.0e+01 | 9.7e+04 | 0.0e+00 | 0.0e+00 |
| AutoSparse(dense_ad=AutoEnzyme(mode=ForwardMode{false, FFIABI, false, false}()), sparsity_detector=TracerSparsityDetector(), coloring_algorithm=GreedyColoringAlgorithm{:direct, NaturalOrder}(NaturalOrder())) | Scenario{:jacobian,:out} Diffusion : Vector{Float64} -> Vector{Float64} | jacobian | 1.0e+00 | 1.0e+00 | 2.0e+04 | 1.0e+00 | 1.1e-05 | 9.0e+00 | 8.9e+04 | 0.0e+00 | 0.0e+00 |

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