Package evaluation of GeometricMachineLearning on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T17:51:04.051 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.98s ################################################################################ # Installation # Installing GeometricMachineLearning... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [194d25b2] + GeometricMachineLearning v0.4.1 Updating `~/.julia/environments/v1.11/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [60874f82] + AbstractNeuralNetworks v0.6.1 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4c555306] + ArrayLayouts v1.11.1 [a9b6321e] + Atomix v1.1.1 [aae01518] + BandedMatrices v1.9.3 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 [cdddcdb0] + ChainRulesTestUtils v1.13.0 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [187b0558] + ConstructionBase v1.5.8 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.4 [e2ba6199] + ExprTools v0.1.10 [1a297f60] + FillArrays v1.13.0 [26cc04aa] + FiniteDifferences v0.12.32 ⌅ [f6369f11] + ForwardDiff v0.10.38 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [9a0b12b7] + GeometricBase v0.10.11 [c85262ba] + GeometricEquations v0.18.0 [194d25b2] + GeometricMachineLearning v0.4.1 [7843afe4] + GeometricSolutions v0.4.2 [f67ccb44] + HDF5 v0.17.2 [076d061b] + HashArrayMappedTries v0.2.0 [7869d1d1] + IRTools v0.4.14 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.2.0 ⌅ [5078a376] + LazyArrays v2.3.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.15 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 [6fe1bfb0] + OffsetArrays v1.16.0 [bac558e1] + OrderedCollections v1.8.0 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.1 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [708f8203] + Richardson v1.4.2 [1bc83da4] + SafeTestsets v0.1.0 [7e506255] + ScopedValues v1.3.0 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.0 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [09ab397b] + StructArrays v0.7.1 [fd094767] + Suppressor v0.2.8 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [a759f4b9] + TimerOutputs v0.5.28 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [770da0de] + UpdateJulia v0.4.4 ⌅ [e88e6eb3] + Zygote v0.6.76 [700de1a5] + ZygoteRules v0.2.7 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.0+0 [dad2f222] + LLVMExtra_jll v0.0.35+0 [7cb0a576] + MPICH_jll v4.3.0+1 [f1f71cc9] + MPItrampoline_jll v5.5.3+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.7+2 [458c3c95] + OpenSSL_jll v3.0.16+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [477f73a3] + libaec_jll v1.1.3+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 8.79s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 836.03s ################################################################################ # Testing # Testing GeometricMachineLearning Status `/tmp/jl_CTkw4s/Project.toml` [60874f82] AbstractNeuralNetworks v0.6.1 [aae01518] BandedMatrices v1.9.3 [082447d4] ChainRules v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 [cdddcdb0] ChainRulesTestUtils v1.13.0 [b4f34e82] Distances v0.10.12 [e30172f5] Documenter v1.10.1 [26cc04aa] FiniteDifferences v0.12.32 ⌅ [f6369f11] ForwardDiff v0.10.38 [9a0b12b7] GeometricBase v0.10.11 [c85262ba] GeometricEquations v0.18.0 [dcce2d33] GeometricIntegrators v0.14.4 [194d25b2] GeometricMachineLearning v0.4.1 [18cb22b4] GeometricProblems v0.6.7 [7843afe4] GeometricSolutions v0.4.2 [f67ccb44] HDF5 v0.17.2 [63c18a36] KernelAbstractions v0.9.34 ⌅ [5078a376] LazyArrays v2.3.2 [872c559c] NNlib v0.9.30 [92933f4c] ProgressMeter v1.10.4 [1bc83da4] SafeTestsets v0.1.0 [2913bbd2] StatsBase v0.34.4 [a759f4b9] TimerOutputs v0.5.28 [770da0de] UpdateJulia v0.4.4 ⌅ [e88e6eb3] Zygote v0.6.76 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_CTkw4s/Manifest.toml` [47edcb42] ADTypes v1.14.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [60874f82] AbstractNeuralNetworks v0.6.1 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.18.0 [4c555306] ArrayLayouts v1.11.1 [a9b6321e] Atomix v1.1.1 [aae01518] BandedMatrices v1.9.3 [0e736298] Bessels v0.2.8 [e2ed5e7c] Bijections v0.1.9 [8e7c35d0] BlockArrays v1.5.0 [fa961155] CEnum v0.5.0 [082447d4] ChainRules v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 [cdddcdb0] ChainRulesTestUtils v1.13.0 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.0.2 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] 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v0.7.0 [9e88b42a] Serialization v1.11.0 [1a1011a3] SharedArrays v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [781609d7] GMP_jll v6.3.0+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [3a97d323] MPFR_jll v4.2.1+0 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [efcefdf7] PCRE2_jll v10.42.0+1 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling GeometricMachineLearning... 38974.9 ms ✓ GeometricMachineLearning 1 dependency successfully precompiled in 42 seconds. 156 already precompiled. [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Test Summary: | Pass Total Time PSD tests | 10 10 2m03.3s [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. SymplecticAutoencoder tests : Error During Test at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 Got exception outside of a @test LoadError: MethodError: no method matching optimization_step!(::Optimizer{AdamOptimizer{Float32}, @NamedTuple{L1::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L2::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L3::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L4::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L5::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L6::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L7::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L8::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L9::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}}, typeof(cayley)}, ::@NamedTuple{L1::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L2::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L3::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L4::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L5::@NamedTuple{weight::GlobalSection{Float64, StiefelManifold{Float64, Matrix{Float64}}, Matrix{Float64}}}, L6::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L7::@NamedTuple{weight::GlobalSection{Float64, StiefelManifold{Float64, Matrix{Float64}}, Matrix{Float64}}}, L8::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L9::@NamedTuple{weight::GlobalSection{Float64, StiefelManifold{Float64, Matrix{Float64}}, Matrix{Float64}}}}, ::NeuralNetworkParameters{(:L1, :L2, :L3, :L4, :L5, :L6, :L7, :L8, :L9), Tuple{@NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}}}, ::NeuralNetworkParameters{(:L1, :L2, :L3, :L4, :L5, :L6, :L7, :L8, :L9), Tuple{@NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}}}}) The function `optimization_step!` exists, but no method is defined for this combination of argument types. Closest candidates are: optimization_step!(::Optimizer, ::NamedTuple, ::NeuralNetworkParameters, !Matched::@NamedTuple{params::NT}) where NT<:NamedTuple @ GeometricMachineLearning ~/.julia/packages/GeometricMachineLearning/KFN5x/src/optimizers/optimizer.jl:111 optimization_step!(::Optimizer, ::NamedTuple, ::NeuralNetworkParameters, !Matched::NamedTuple) @ GeometricMachineLearning ~/.julia/packages/GeometricMachineLearning/KFN5x/src/optimizers/optimizer.jl:98 optimization_step!(::Optimizer, ::NamedTuple, !Matched::NamedTuple, !Matched::NamedTuple) @ GeometricMachineLearning ~/.julia/packages/GeometricMachineLearning/KFN5x/src/optimizers/optimizer.jl:159 Stacktrace: [1] optimize_for_one_epoch!(opt::Optimizer{AdamOptimizer{Float32}, @NamedTuple{L1::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L2::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L3::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L4::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L5::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L6::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L7::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L8::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L9::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}}, typeof(cayley)}, model::Chain{Tuple{GradientLayerQ{10, 10, typeof(tanh)}, GradientLayerP{10, 10, typeof(tanh)}, GradientLayerQ{10, 10, typeof(tanh)}, GradientLayerP{10, 10, typeof(tanh)}, PSDLayer{10, 6}, GradientLayerQ{6, 6, typeof(tanh)}, PSDLayer{6, 8}, GradientLayerQ{8, 8, typeof(tanh)}, PSDLayer{8, 10}}}, ps::NeuralNetworkParameters{(:L1, :L2, :L3, :L4, :L5, :L6, :L7, :L8, :L9), Tuple{@NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}}}, dl::DataLoader{Float64, Array{Float64, 3}, Nothing, :RegularData}, batch::Batch{:FeedForward}, _pullback::GeometricMachineLearning.ZygotePullback{AutoEncoderLoss}, λY::@NamedTuple{L1::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L2::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L3::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L4::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L5::@NamedTuple{weight::GlobalSection{Float64, StiefelManifold{Float64, Matrix{Float64}}, Matrix{Float64}}}, L6::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L7::@NamedTuple{weight::GlobalSection{Float64, StiefelManifold{Float64, Matrix{Float64}}, Matrix{Float64}}}, L8::@NamedTuple{weight::GlobalSection{Float64, Matrix{Float64}, Nothing}, bias::GlobalSection{Float64, Vector{Float64}, Nothing}, scale::GlobalSection{Float64, Vector{Float64}, Nothing}}, L9::@NamedTuple{weight::GlobalSection{Float64, StiefelManifold{Float64, Matrix{Float64}}, Matrix{Float64}}}}) @ GeometricMachineLearning ~/.julia/packages/GeometricMachineLearning/KFN5x/src/data_loader/optimize.jl:76 [2] (::Optimizer{AdamOptimizer{Float32}, @NamedTuple{L1::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L2::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L3::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L4::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L5::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L6::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L7::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L8::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L9::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}}, typeof(cayley)})(nn::NeuralNetwork{SymplecticAutoencoder{:EncoderInitQ, :DecoderInitQ, typeof(tanh)}, Chain{Tuple{GradientLayerQ{10, 10, typeof(tanh)}, GradientLayerP{10, 10, typeof(tanh)}, GradientLayerQ{10, 10, typeof(tanh)}, GradientLayerP{10, 10, typeof(tanh)}, PSDLayer{10, 6}, GradientLayerQ{6, 6, typeof(tanh)}, PSDLayer{6, 8}, GradientLayerQ{8, 8, typeof(tanh)}, PSDLayer{8, 10}}}, NeuralNetworkParameters{(:L1, :L2, :L3, :L4, :L5, :L6, :L7, :L8, :L9), Tuple{@NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}}}, CPU}, dl::DataLoader{Float64, Array{Float64, 3}, Nothing, :RegularData}, batch::Batch{:FeedForward}, n_epochs::Int64, loss::AutoEncoderLoss, _pullback::GeometricMachineLearning.ZygotePullback{AutoEncoderLoss}; show_progress::Bool) @ GeometricMachineLearning ~/.julia/packages/GeometricMachineLearning/KFN5x/src/data_loader/optimize.jl:103 [3] Optimizer (repeats 2 times) @ ~/.julia/packages/GeometricMachineLearning/KFN5x/src/data_loader/optimize.jl:93 [inlined] [4] #_#281 @ ~/.julia/packages/GeometricMachineLearning/KFN5x/src/data_loader/optimize.jl:122 [inlined] [5] (::Optimizer{AdamOptimizer{Float32}, @NamedTuple{L1::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L2::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L3::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L4::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L5::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L6::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L7::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}, L8::@NamedTuple{weight::AdamCache{Float64, Matrix{Float64}}, bias::AdamCache{Float64, Vector{Float64}}, scale::AdamCache{Float64, Vector{Float64}}}, L9::@NamedTuple{weight::AdamCache{Float64, StiefelLieAlgHorMatrix{Float64, SkewSymMatrix{Float64, Vector{Float64}}, Matrix{Float64}}}}}, typeof(cayley)})(nn::NeuralNetwork{SymplecticAutoencoder{:EncoderInitQ, :DecoderInitQ, typeof(tanh)}, Chain{Tuple{GradientLayerQ{10, 10, typeof(tanh)}, GradientLayerP{10, 10, typeof(tanh)}, GradientLayerQ{10, 10, typeof(tanh)}, GradientLayerP{10, 10, typeof(tanh)}, PSDLayer{10, 6}, GradientLayerQ{6, 6, typeof(tanh)}, PSDLayer{6, 8}, GradientLayerQ{8, 8, typeof(tanh)}, PSDLayer{8, 10}}}, NeuralNetworkParameters{(:L1, :L2, :L3, :L4, :L5, :L6, :L7, :L8, :L9), Tuple{@NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}, @NamedTuple{weight::Matrix{Float64}, bias::Vector{Float64}, scale::Vector{Float64}}, @NamedTuple{weight::StiefelManifold{Float64, Matrix{Float64}}}}}, CPU}, dl::DataLoader{Float64, Array{Float64, 3}, Nothing, :RegularData}, batch::Batch{:FeedForward}, n_epochs::Int64) @ GeometricMachineLearning ~/.julia/packages/GeometricMachineLearning/KFN5x/src/data_loader/optimize.jl:120 [6] test_accuracy(N::Int64, n::Int64; tol::Float64, n_epochs::Int64) @ Main.var"##SymplecticAutoencoder tests #279" ~/.julia/packages/GeometricMachineLearning/KFN5x/test/symplectic_autoencoder_tests.jl:14 [7] test_accuracy @ ~/.julia/packages/GeometricMachineLearning/KFN5x/test/symplectic_autoencoder_tests.jl:8 [inlined] [8] #all_tests#6 @ ~/.julia/packages/GeometricMachineLearning/KFN5x/test/symplectic_autoencoder_tests.jl:50 [inlined] [9] all_tests(N::Int64, n::Int64) @ Main.var"##SymplecticAutoencoder tests #279" ~/.julia/packages/GeometricMachineLearning/KFN5x/test/symplectic_autoencoder_tests.jl:49 [10] top-level scope @ ~/.julia/packages/GeometricMachineLearning/KFN5x/test/symplectic_autoencoder_tests.jl:55 [11] include(mod::Module, _path::String) @ Base ./Base.jl:557 [12] include(x::String) @ Main.var"##SymplecticAutoencoder tests #279" ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 [13] macro expansion @ ~/.julia/packages/GeometricMachineLearning/KFN5x/test/runtests.jl:7 [inlined] [14] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [15] macro expansion @ ~/.julia/packages/GeometricMachineLearning/KFN5x/test/runtests.jl:7 [inlined] [16] top-level scope @ ~/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:30 [17] eval(m::Module, e::Any) @ Core ./boot.jl:430 [18] top-level scope @ ~/.julia/packages/GeometricMachineLearning/KFN5x/test/runtests.jl:28 [19] include(fname::String) @ Main ./sysimg.jl:38 [20] top-level scope @ none:6 [21] eval @ ./boot.jl:430 [inlined] [22] exec_options(opts::Base.JLOptions) @ Base ./client.jl:296 [23] _start() @ Base ./client.jl:531 in expression starting at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/symplectic_autoencoder_tests.jl:55 Test Summary: | Error Total Time SymplecticAutoencoder tests | 1 1 1m18.6s ERROR: LoadError: Some tests did not pass: 0 passed, 0 failed, 1 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/runtests.jl:7 Testing failed after 275.56s ERROR: LoadError: Package GeometricMachineLearning errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 1173.49s: package tests unexpectedly errored