Package evaluation of GeometricMachineLearning on Julia 1.13.0-DEV.971 (04e26c5eae*) started at 2025-08-11T00:51:45.850 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 10.09s ################################################################################ # Installation # Installing GeometricMachineLearning... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [194d25b2] + GeometricMachineLearning v0.4.5 Updating `~/.julia/environments/v1.13/Manifest.toml` [47edcb42] + ADTypes v1.16.0 [621f4979] + AbstractFFTs v1.5.0 [60874f82] + AbstractNeuralNetworks v0.6.2 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.19.0 [4c555306] + ArrayLayouts v1.11.2 [a9b6321e] + Atomix v1.1.1 [aae01518] + BandedMatrices v1.9.4 [e2ed5e7c] + Bijections v0.2.2 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.26.0 [cdddcdb0] + ChainRulesTestUtils v1.13.0 [861a8166] + Combinatorics v1.0.3 [38540f10] + CommonSolve v0.2.4 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.0.0 [34da2185] + Compat v4.18.0 [b152e2b5] + CompositeTypes v0.1.4 [a33af91c] + CompositionsBase v0.1.2 [187b0558] + ConstructionBase v1.6.0 [a8cc5b0e] + Crayons v4.1.1 [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 [31c24e10] + Distributions v0.25.120 [ffbed154] + DocStringExtensions v0.9.5 [5b8099bc] + DomainSets v0.7.16 [7c1d4256] + DynamicPolynomials v0.6.2 [4e289a0a] + EnumX v1.0.5 [e2ba6199] + ExprTools v0.1.10 [55351af7] + ExproniconLite v0.10.14 [1a297f60] + FillArrays v1.13.0 [26cc04aa] + FiniteDifferences v0.12.32 [1fa38f19] + Format v1.3.7 [f6369f11] + ForwardDiff v1.0.1 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v0.1.3 [0c68f7d7] + GPUArrays v11.2.3 [46192b85] + GPUArraysCore v0.2.0 ⌅ [9a0b12b7] + GeometricBase v0.11.2 ⌅ [c85262ba] + GeometricEquations v0.19.1 [194d25b2] + GeometricMachineLearning v0.4.5 ⌃ [7843afe4] + GeometricSolutions v0.5.1 [f67ccb44] + HDF5 v0.17.2 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.15 [18e54dd8] + IntegerMathUtils v0.1.3 [8197267c] + IntervalSets v0.7.11 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [682c06a0] + JSON v0.21.4 [ae98c720] + Jieko v0.2.1 [63c18a36] + KernelAbstractions v0.9.38 [929cbde3] + LLVM v9.4.2 [b964fa9f] + LaTeXStrings v1.4.0 [23fbe1c1] + Latexify v0.16.8 ⌅ [5078a376] + LazyArrays v2.3.2 [2ab3a3ac] + LogExpFunctions v0.3.29 [3da0fdf6] + MPIPreferences v0.1.11 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [2e0e35c7] + Moshi v0.3.7 [102ac46a] + MultivariatePolynomials v0.5.9 [d8a4904e] + MutableArithmetics v1.6.4 [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.3 [6fe1bfb0] + OffsetArrays v1.17.0 [bac558e1] + OrderedCollections v1.8.1 [90014a1f] + PDMats v0.11.35 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [27ebfcd6] + Primes v0.5.7 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v3.36.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [708f8203] + Richardson v1.4.2 [79098fc4] + Rmath v0.8.0 [7e49a35a] + RuntimeGeneratedFunctions v0.5.15 [1bc83da4] + SafeTestsets v0.1.0 ⌃ [0bca4576] + SciMLBase v2.101.0 [c0aeaf25] + SciMLOperators v1.4.0 [53ae85a6] + SciMLStructures v1.7.0 [7e506255] + ScopedValues v1.4.0 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [4c63d2b9] + StatsFuns v1.5.0 [892a3eda] + StringManipulation v0.4.1 [09ab397b] + StructArrays v0.7.1 [fd094767] + Suppressor v0.2.8 [2efcf032] + SymbolicIndexingInterface v0.3.42 [19f23fe9] + SymbolicLimits v0.2.2 [aed23131] + SymbolicNeuralNetworks v0.3.3 [d1185830] + SymbolicUtils v3.30.0 [0c5d862f] + Symbolics v6.49.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [ed4db957] + TaskLocalValues v0.1.3 [8ea1fca8] + TermInterface v2.0.0 [a759f4b9] + TimerOutputs v0.5.29 [3a884ed6] + UnPack v1.0.2 [a7c27f48] + Unityper v0.1.6 [013be700] + UnsafeAtomics v0.3.0 [770da0de] + UpdateJulia v0.4.4 ⌅ [e88e6eb3] + Zygote v0.6.77 [700de1a5] + ZygoteRules v0.2.7 [0234f1f7] + HDF5_jll v1.14.6+0 [e33a78d0] + Hwloc_jll v2.12.1+0 [dad2f222] + LLVMExtra_jll v0.0.37+2 [7cb0a576] + MPICH_jll v4.3.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.4+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.8+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+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 v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [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 v1.13.0 [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 v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.1+0 [efcefdf7] + PCRE2_jll v10.45.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m` Installation completed after 9.84s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 1148.77s ################################################################################ # Testing # Testing GeometricMachineLearning Status `/tmp/jl_XIPnaa/Project.toml` [60874f82] AbstractNeuralNetworks v0.6.2 [aae01518] BandedMatrices v1.9.4 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.26.0 [cdddcdb0] ChainRulesTestUtils v1.13.0 [b4f34e82] Distances v0.10.12 [e30172f5] Documenter v1.14.1 [26cc04aa] FiniteDifferences v0.12.32 [f6369f11] ForwardDiff v1.0.1 ⌅ [9a0b12b7] GeometricBase v0.11.2 ⌅ [c85262ba] GeometricEquations v0.19.1 [dcce2d33] GeometricIntegrators v0.14.11 [194d25b2] GeometricMachineLearning v0.4.5 [18cb22b4] GeometricProblems v0.6.12 ⌃ [7843afe4] GeometricSolutions v0.5.1 [f67ccb44] HDF5 v0.17.2 [63c18a36] KernelAbstractions v0.9.38 ⌅ [5078a376] LazyArrays v2.3.2 [872c559c] NNlib v0.9.31 [92933f4c] ProgressMeter v1.10.4 [1bc83da4] SafeTestsets v0.1.0 [2913bbd2] StatsBase v0.34.6 [aed23131] SymbolicNeuralNetworks v0.3.3 [0c5d862f] Symbolics v6.49.0 [a759f4b9] TimerOutputs v0.5.29 [770da0de] UpdateJulia v0.4.4 ⌅ [e88e6eb3] Zygote v0.6.77 [700de1a5] ZygoteRules v0.2.7 [b77e0a4c] InteractiveUtils v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [2f01184e] SparseArrays v1.13.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_XIPnaa/Manifest.toml` [47edcb42] ADTypes v1.16.0 [a4c015fc] ANSIColoredPrinters v0.0.1 [621f4979] AbstractFFTs v1.5.0 [60874f82] AbstractNeuralNetworks v0.6.2 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.19.0 [4c555306] ArrayLayouts v1.11.2 [a9b6321e] Atomix v1.1.1 [aae01518] BandedMatrices v1.9.4 [0e736298] Bessels v0.2.8 [e2ed5e7c] Bijections v0.2.2 [8e7c35d0] BlockArrays v1.7.0 [fa961155] CEnum v0.5.0 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.26.0 [cdddcdb0] ChainRulesTestUtils v1.13.0 [944b1d66] CodecZlib v0.7.8 [861a8166] Combinatorics v1.0.3 [38540f10] CommonSolve v0.2.4 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.0.0 [a09551c4] CompactBasisFunctions v0.2.14 [34da2185] Compat v4.18.0 [b152e2b5] CompositeTypes v0.1.4 [a33af91c] CompositionsBase v0.1.2 [187b0558] ConstructionBase v1.6.0 [7ae1f121] ContinuumArrays v0.19.3 [a8cc5b0e] Crayons v4.1.1 [717857b8] DSP v0.8.4 [9a962f9c] DataAPI v1.16.0 ⌅ [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [e30172f5] Documenter v1.14.1 [5b8099bc] DomainSets v0.7.16 [7c1d4256] DynamicPolynomials v0.6.2 [4e289a0a] EnumX v1.0.5 [e4b6a126] EulerLagrange v0.4.4 [e2ba6199] ExprTools v0.1.10 [55351af7] ExproniconLite v0.10.14 [7a1cc6ca] FFTW v1.9.0 [442a2c76] FastGaussQuadrature v1.0.2 [057dd010] FastTransforms v0.17.0 [1a297f60] FillArrays v1.13.0 [26cc04aa] FiniteDifferences v0.12.32 [1fa38f19] Format v1.3.7 [f6369f11] ForwardDiff v1.0.1 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v0.1.3 [0c68f7d7] GPUArrays v11.2.3 [46192b85] GPUArraysCore v0.2.0 [a8297547] GenericFFT v0.1.6 [14197337] GenericLinearAlgebra v0.3.18 ⌅ [9a0b12b7] GeometricBase v0.11.2 ⌅ [c85262ba] GeometricEquations v0.19.1 [dcce2d33] GeometricIntegrators v0.14.11 [194d25b2] GeometricMachineLearning v0.4.5 [18cb22b4] GeometricProblems v0.6.12 ⌃ [7843afe4] GeometricSolutions v0.5.1 [d7ba0133] Git v1.4.0 [f67ccb44] HDF5 v0.17.2 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [b5f81e59] IOCapture v0.2.5 [7869d1d1] IRTools v0.4.15 [4858937d] InfiniteArrays v0.15.6 [e1ba4f0e] Infinities v0.1.11 [18e54dd8] IntegerMathUtils v0.1.3 [8197267c] IntervalSets v0.7.11 [3587e190] InverseFunctions v0.1.17 [92d709cd] IrrationalConstants v0.2.4 [c8e1da08] IterTools v1.10.0 [82899510] 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Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ 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 1m55.8s [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Progress: 2%|▉ | ETA: 0:48:51 TrainingLoss: 1.2839771669593039   Progress: 22%|█████████ | ETA: 0:03:35 TrainingLoss: 0.6695187208388999   Progress: 27%|███████████▏ | ETA: 0:02:45 TrainingLoss: 0.5852056915564613   Progress: 32%|█████████████▏ | ETA: 0:02:10 TrainingLoss: 0.5081931188866502   Progress: 36%|██████████████▊ | ETA: 0:01:49 TrainingLoss: 0.4545440976357938   Progress: 40%|████████████████▍ | ETA: 0:01:32 TrainingLoss: 0.4116373316916354   Progress: 45%|██████████████████▌ | ETA: 0:01:15 TrainingLoss: 0.37490361086619883   Progress: 50%|████████████████████▌ | ETA: 0:01:01 TrainingLoss: 0.3510193876394931   Progress: 54%|██████████████████████▏ | ETA: 0:00:52 TrainingLoss: 0.3419433378152693   Progress: 59%|████████████████████████▎ | ETA: 0:00:43 TrainingLoss: 0.3297867694182041   Progress: 64%|██████████████████████████▎ | ETA: 0:00:35 TrainingLoss: 0.32364398721808085   Progress: 69%|████████████████████████████▎ | ETA: 0:00:28 TrainingLoss: 0.3212195637207344   Progress: 74%|██████████████████████████████▍ | ETA: 0:00:22 TrainingLoss: 0.31703431237173596   Progress: 79%|████████████████████████████████▍ | ETA: 0:00:17 TrainingLoss: 0.31544631252119987   Progress: 84%|██████████████████████████████████▌ | ETA: 0:00:12 TrainingLoss: 0.3143453477419391   Progress: 89%|████████████████████████████████████▌ | ETA: 0:00:08 TrainingLoss: 0.3133553754618101   Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:04 TrainingLoss: 0.31204604669029795   Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:01 TrainingLoss: 0.3120399289429615   Progress: 100%|█████████████████████████████████████████| Time: 0:01:02 TrainingLoss: 0.31105632292328594 [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Progress: 40%|████████████████▍ | ETA: 0:00:00 TrainingLoss: 1.098893894090234   Progress: 80%|████████████████████████████████▊ | ETA: 0:00:00 TrainingLoss: 0.9881875878240427   Progress: 100%|█████████████████████████████████████████| Time: 0:00:00 TrainingLoss: 0.9482627302446242 [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Progress: 2%|▉ | ETA: 0:05:16 TrainingLoss: 1.0618074607511967   Progress: 4%|█▋ | ETA: 0:02:39 TrainingLoss: 0.778460174993254   Progress: 6%|██▌ | ETA: 0:01:46 TrainingLoss: 0.6414250571108003   Progress: 8%|███▎ | ETA: 0:01:20 TrainingLoss: 0.5946381694696229   Progress: 10%|████▏ | ETA: 0:01:04 TrainingLoss: 0.5598336477798113   Progress: 12%|████▉ | ETA: 0:00:54 TrainingLoss: 0.5294026632861928   Progress: 14%|█████▊ | ETA: 0:00:46 TrainingLoss: 0.5027334063408468   Progress: 16%|██████▌ | ETA: 0:00:40 TrainingLoss: 0.4796670961847904   Progress: 18%|███████▍ | ETA: 0:00:36 TrainingLoss: 0.45747440747581836   Progress: 20%|████████▎ | ETA: 0:00:32 TrainingLoss: 0.436863222070602   Progress: 22%|█████████ | ETA: 0:00:29 TrainingLoss: 0.4188840171078404   Progress: 24%|█████████▉ | ETA: 0:00:26 TrainingLoss: 0.4014741805517909   Progress: 26%|██████████▋ | ETA: 0:00:24 TrainingLoss: 0.38728572013680884   Progress: 28%|███████████▌ | ETA: 0:00:22 TrainingLoss: 0.37585807706152874   Progress: 30%|████████████▎ | ETA: 0:00:21 TrainingLoss: 0.3669465553553414   Progress: 32%|█████████████▏ | ETA: 0:00:19 TrainingLoss: 0.3604819457516288   Progress: 34%|██████████████ | ETA: 0:00:18 TrainingLoss: 0.3555756636359113   Progress: 36%|██████████████▊ | ETA: 0:00:17 TrainingLoss: 0.350756536562549   Progress: 38%|███████████████▋ | ETA: 0:00:16 TrainingLoss: 0.3478416423564464   Progress: 40%|████████████████▍ | ETA: 0:00:15 TrainingLoss: 0.345750593475101   Progress: 42%|█████████████████▎ | ETA: 0:00:14 TrainingLoss: 0.34361967701553553   Progress: 44%|██████████████████ | ETA: 0:00:13 TrainingLoss: 0.3414982990137463   Progress: 46%|██████████████████▉ | ETA: 0:00:12 TrainingLoss: 0.34031191679202805   Progress: 48%|███████████████████▋ | ETA: 0:00:11 TrainingLoss: 0.3398409896413767   Progress: 50%|████████████████████▌ | ETA: 0:00:11 TrainingLoss: 0.33874395227878995   Progress: 52%|█████████████████████▍ | ETA: 0:00:10 TrainingLoss: 0.3374957759708751   Progress: 54%|██████████████████████▏ | ETA: 0:00:09 TrainingLoss: 0.3369885963737477   Progress: 56%|███████████████████████ | ETA: 0:00:09 TrainingLoss: 0.33649550336274997   Progress: 58%|███████████████████████▊ | ETA: 0:00:08 TrainingLoss: 0.33503942782216856   Progress: 60%|████████████████████████▋ | ETA: 0:00:08 TrainingLoss: 0.33451407386606113   Progress: 62%|█████████████████████████▍ | ETA: 0:00:07 TrainingLoss: 0.33436667662511865   Progress: 64%|██████████████████████████▎ | ETA: 0:00:07 TrainingLoss: 0.33325084237444674   Progress: 66%|███████████████████████████ | ETA: 0:00:06 TrainingLoss: 0.33320490660147717   Progress: 68%|███████████████████████████▉ | ETA: 0:00:06 TrainingLoss: 0.33246403783654277   Progress: 70%|████████████████████████████▊ | ETA: 0:00:05 TrainingLoss: 0.3321350986600914   Progress: 72%|█████████████████████████████▌ | ETA: 0:00:05 TrainingLoss: 0.33140236582582305   Progress: 74%|██████████████████████████████▍ | ETA: 0:00:04 TrainingLoss: 0.3310242324551354   Progress: 76%|███████████████████████████████▏ | ETA: 0:00:04 TrainingLoss: 0.3307571907574306   Progress: 78%|████████████████████████████████ | ETA: 0:00:04 TrainingLoss: 0.3305889418138081   Progress: 80%|████████████████████████████████▊ | ETA: 0:00:03 TrainingLoss: 0.32989872260420416   Progress: 82%|█████████████████████████████████▋ | ETA: 0:00:03 TrainingLoss: 0.33008999925552585   Progress: 84%|██████████████████████████████████▌ | ETA: 0:00:03 TrainingLoss: 0.3294567433929815   Progress: 86%|███████████████████████████████████▎ | ETA: 0:00:02 TrainingLoss: 0.3290276537902227   Progress: 88%|████████████████████████████████████▏ | ETA: 0:00:02 TrainingLoss: 0.3287248471550995   Progress: 90%|████████████████████████████████████▉ | ETA: 0:00:02 TrainingLoss: 0.32842524788025684   Progress: 92%|█████████████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.3288052524291301   Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:01 TrainingLoss: 0.32796290587789656   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:01 TrainingLoss: 0.3283773085520105   Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:00 TrainingLoss: 0.3275423871215192   Progress: 100%|█████████████████████████████████████████| Time: 0:00:14 TrainingLoss: 0.32731484736206784 [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Progress: 20%|████████▎ | ETA: 0:00:01 TrainingLoss: 1.1467675998681681   Progress: 30%|████████████▎ | ETA: 0:00:01 TrainingLoss: 0.9763293075539305   Progress: 40%|████████████████▍ | ETA: 0:00:01 TrainingLoss: 0.8208672428229887   Progress: 60%|████████████████████████▋ | ETA: 0:00:00 TrainingLoss: 0.6822282330372612   Progress: 70%|████████████████████████████▊ | ETA: 0:00:00 TrainingLoss: 0.6493232208465154   Progress: 90%|████████████████████████████████████▉ | ETA: 0:00:00 TrainingLoss: 0.5969058930636535   Progress: 100%|█████████████████████████████████████████| Time: 0:00:00 TrainingLoss: 0.5751049973041354 Test Summary: | Pass Total Time SymplecticAutoencoder tests | 10 10 2m22.8s [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Progress: 2%|▉ | ETA: 0:22:35 TrainingLoss: 1.1130668302545712   Progress: 3%|█▎ | ETA: 0:14:58 TrainingLoss: 0.9872337699398915   Progress: 4%|█▋ | ETA: 0:11:09 TrainingLoss: 0.8755973909220971   Progress: 5%|██ | ETA: 0:08:52 TrainingLoss: 0.7725803746572375   Progress: 6%|██▌ | ETA: 0:07:20 TrainingLoss: 0.6772105226161924   Progress: 7%|██▉ | ETA: 0:06:15 TrainingLoss: 0.5948402765638183   Progress: 8%|███▎ | ETA: 0:05:27 TrainingLoss: 0.530005582676082   Progress: 10%|████▏ | ETA: 0:04:18 TrainingLoss: 0.4804581516028506   Progress: 11%|████▌ | ETA: 0:03:52 TrainingLoss: 0.4698590773939169   Progress: 12%|████▉ | ETA: 0:03:31 TrainingLoss: 0.46101254587386853   Progress: 13%|█████▍ | ETA: 0:03:14 TrainingLoss: 0.45252722763904385   Progress: 14%|█████▊ | ETA: 0:02:58 TrainingLoss: 0.4441143986860685   Progress: 15%|██████▏ | ETA: 0:02:45 TrainingLoss: 0.4378960698192459   Progress: 16%|██████▌ | ETA: 0:02:34 TrainingLoss: 0.4315725679620912   Progress: 17%|███████ | ETA: 0:02:23 TrainingLoss: 0.426499311765559   Progress: 18%|███████▍ | ETA: 0:02:14 TrainingLoss: 0.420309005922492   Progress: 19%|███████▊ | ETA: 0:02:06 TrainingLoss: 0.41497650138534475   Progress: 21%|████████▋ | ETA: 0:01:52 TrainingLoss: 0.4065048777233555   Progress: 22%|█████████ | ETA: 0:01:46 TrainingLoss: 0.4057992366403811   Progress: 23%|█████████▍ | ETA: 0:01:41 TrainingLoss: 0.40339527843675593   Progress: 25%|██████████▎ | ETA: 0:01:31 TrainingLoss: 0.3960726933261804   Progress: 26%|██████████▋ | ETA: 0:01:26 TrainingLoss: 0.39572697417950103   Progress: 27%|███████████▏ | ETA: 0:01:22 TrainingLoss: 0.39416677492886654   Progress: 28%|███████████▌ | ETA: 0:01:19 TrainingLoss: 0.3924803429414005   Progress: 29%|███████████▉ | ETA: 0:01:15 TrainingLoss: 0.39050546652731605   Progress: 30%|████████████▎ | ETA: 0:01:12 TrainingLoss: 0.3888599253291115   Progress: 31%|████████████▊ | ETA: 0:01:09 TrainingLoss: 0.3869319121840441   Progress: 32%|█████████████▏ | ETA: 0:01:06 TrainingLoss: 0.38630006460651245   Progress: 34%|██████████████ | ETA: 0:01:01 TrainingLoss: 0.38663547359829153   Progress: 35%|██████████████▍ | ETA: 0:00:58 TrainingLoss: 0.38586612318734625   Progress: 37%|███████████████▏ | ETA: 0:00:54 TrainingLoss: 0.3836232026827065   Progress: 38%|███████████████▋ | ETA: 0:00:52 TrainingLoss: 0.38611220737934154   Progress: 40%|████████████████▍ | ETA: 0:00:48 TrainingLoss: 0.3830960109863538   Progress: 42%|█████████████████▎ | ETA: 0:00:44 TrainingLoss: 0.38262894166355954   Progress: 44%|██████████████████ | ETA: 0:00:41 TrainingLoss: 0.3822521629842043   Progress: 46%|██████████████████▉ | ETA: 0:00:38 TrainingLoss: 0.38152853841649825   Progress: 48%|███████████████████▋ | ETA: 0:00:35 TrainingLoss: 0.38020676118760555   Progress: 49%|████████████████████▏ | ETA: 0:00:34 TrainingLoss: 0.3784395403402522   Progress: 50%|████████████████████▌ | ETA: 0:00:33 TrainingLoss: 0.37918680629279905   Progress: 51%|████████████████████▉ | ETA: 0:00:32 TrainingLoss: 0.38057352121399957   Progress: 52%|█████████████████████▍ | ETA: 0:00:30 TrainingLoss: 0.3783688752975255   Progress: 53%|█████████████████████▊ | ETA: 0:00:29 TrainingLoss: 0.3784246294068737   Progress: 54%|██████████████████████▏ | ETA: 0:00:28 TrainingLoss: 0.3788539188982418   Progress: 55%|██████████████████████▌ | ETA: 0:00:27 TrainingLoss: 0.3789713065152268   Progress: 56%|███████████████████████ | ETA: 0:00:26 TrainingLoss: 0.3786151276992686   Progress: 58%|███████████████████████▊ | ETA: 0:00:24 TrainingLoss: 0.3781455978357009   Progress: 60%|████████████████████████▋ | ETA: 0:00:23 TrainingLoss: 0.3773505331110082   Progress: 62%|█████████████████████████▍ | ETA: 0:00:21 TrainingLoss: 0.3766495371861964   Progress: 63%|█████████████████████████▉ | ETA: 0:00:20 TrainingLoss: 0.3773924736345998   Progress: 64%|██████████████████████████▎ | ETA: 0:00:19 TrainingLoss: 0.3758433785191765   Progress: 66%|███████████████████████████ | ETA: 0:00:18 TrainingLoss: 0.37603368754701993   Progress: 68%|███████████████████████████▉ | ETA: 0:00:16 TrainingLoss: 0.3752106719008343   Progress: 70%|████████████████████████████▊ | ETA: 0:00:15 TrainingLoss: 0.37429678221413387   Progress: 71%|█████████████████████████████▏ | ETA: 0:00:14 TrainingLoss: 0.3757106190433303   Progress: 72%|█████████████████████████████▌ | ETA: 0:00:14 TrainingLoss: 0.374366343042717   Progress: 73%|█████████████████████████████▉ | ETA: 0:00:13 TrainingLoss: 0.37557232892297243   Progress: 74%|██████████████████████████████▍ | ETA: 0:00:12 TrainingLoss: 0.3749195768641613   Progress: 75%|██████████████████████████████▊ | ETA: 0:00:12 TrainingLoss: 0.37535827937604826   Progress: 76%|███████████████████████████████▏ | ETA: 0:00:11 TrainingLoss: 0.37529725548058396   Progress: 77%|███████████████████████████████▋ | ETA: 0:00:11 TrainingLoss: 0.3746300534935804   Progress: 79%|████████████████████████████████▍ | ETA: 0:00:10 TrainingLoss: 0.3739602912112171   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0.37506416446248103   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:02 TrainingLoss: 0.3715721166010806   Progress: 97%|███████████████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.3711475507657757   Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:01 TrainingLoss: 0.37161909041676566   Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:00 TrainingLoss: 0.3711790944080886   Progress: 100%|█████████████████████████████████████████| Time: 0:00:38 TrainingLoss: 0.37065071448620585 [ Info: You have provided a matrix as input. The axes will be interpreted as (i) system dimension and (ii) number of parameters. Progress: 1%|▍ | ETA: 0:21:28 TrainingLoss: 1.414200552699023   Progress: 2%|█ | ETA: 0:08:31 TrainingLoss: 1.037484885321487   Progress: 4%|█▋ | ETA: 0:05:21 TrainingLoss: 0.8923063092642335   Progress: 6%|██▎ | ETA: 0:03:51 TrainingLoss: 0.7838450134208909   Progress: 7%|██▉ | ETA: 0:03:00 TrainingLoss: 0.6748038498283706   Progress: 8%|███▌ | ETA: 0:02:27 TrainingLoss: 0.5724411215373307   Progress: 10%|████▏ | ETA: 0:02:04 TrainingLoss: 0.497171692744052   Progress: 12%|████▊ | ETA: 0:01:47 TrainingLoss: 0.4628180648477245   Progress: 13%|█████▍ | ETA: 0:01:34 TrainingLoss: 0.4487082231318871   Progress: 14%|██████ | ETA: 0:01:24 TrainingLoss: 0.4401867349789699   Progress: 16%|██████▌ | ETA: 0:01:15 TrainingLoss: 0.4354966304581753   Progress: 18%|███████▏ | ETA: 0:01:08 TrainingLoss: 0.4290333684086515   Progress: 19%|███████▊ | ETA: 0:01:02 TrainingLoss: 0.4208445930332623   Progress: 20%|████████▍ | ETA: 0:00:57 TrainingLoss: 0.42079206382090567   Progress: 22%|█████████ | ETA: 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92%|█████████████████████████████████████▌ | ETA: 0:00:02 TrainingLoss: 0.39958437602766494   Progress: 93%|██████████████████████████████████████▏ | ETA: 0:00:01 TrainingLoss: 0.39481974389132163   Progress: 94%|██████████████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.39467739463022444   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:01 TrainingLoss: 0.3942128274725962   Progress: 98%|████████████████████████████████████████ | ETA: 0:00:01 TrainingLoss: 0.39474821060403215   Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:00 TrainingLoss: 0.3908760257739081   Progress: 100%|█████████████████████████████████████████| Time: 0:00:20 TrainingLoss: 0.39266585868840037 Test Summary: | Pass Total Time Check if autoencoder error is lower than PSD error | 2 2 1m39.9s Precompiling packages... 21181.8 ms ✓ EulerLagrange 22750.0 ms ✓ GeometricProblems 2 dependencies successfully precompiled in 49 seconds. 192 already precompiled. Precompiling packages... 34276.7 ms ✓ Polynomials 3952.1 ms ✓ LazyArrays → LazyArraysBlockArraysExt 4789.4 ms ✓ InfiniteArrays 9708.2 ms ✓ QuasiArrays 6443.3 ms ✓ SimpleSolvers 1948.3 ms ✓ GenericFFT 3630.1 ms ✓ Polynomials → PolynomialsFFTWExt 4729.9 ms ✓ QuadratureRules 5311.5 ms ✓ InfiniteArrays → InfiniteArraysBandedMatricesExt 4405.0 ms ✓ InfiniteArrays → InfiniteArraysBlockArraysExt 3955.0 ms ✓ InfiniteArrays → InfiniteArraysStatisticsExt 4145.2 ms ✓ QuasiArrays → QuasiArraysSparseArraysExt 7736.9 ms ✓ DSP 11003.9 ms ✓ ContinuumArrays 4208.2 ms ✓ DSP → OffsetArraysExt 5034.1 ms ✓ ToeplitzMatrices 6412.6 ms ✓ InfiniteArrays → InfiniteArraysDSPExt 9049.9 ms ✓ ContinuumArrays → ContinuumArraysRecipesBaseExt 11359.1 ms ✓ FastTransforms 12581.5 ms ✓ CompactBasisFunctions 16301.1 ms ✓ RungeKutta 58277.9 ms ✓ GeometricIntegrators 22 dependencies successfully precompiled in 231 seconds. 144 already precompiled. 1 dependency had output during precompilation: ┌ QuasiArrays │ WARNING: Constructor for type "AbstractVector" was extended in `QuasiArrays` without explicit qualification or import. │ NOTE: Assumed "AbstractVector" refers to `Base.AbstractVector`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function AbstractVector end`. │ Hint: To silence the warning, qualify `AbstractVector` as `Base.AbstractVector` in the method signature or explicitly `import Base: AbstractVector`. │ WARNING: Constructor for type "AbstractArray" was extended in `QuasiArrays` without explicit qualification or import. │ NOTE: Assumed "AbstractArray" refers to `Base.AbstractArray`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function AbstractArray end`. │ Hint: To silence the warning, qualify `AbstractArray` as `Base.AbstractArray` in the method signature or explicitly `import Base: AbstractArray`. │ WARNING: Constructor for type "AbstractMatrix" was extended in `QuasiArrays` without explicit qualification or import. │ NOTE: Assumed "AbstractMatrix" refers to `Base.AbstractMatrix`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function AbstractMatrix end`. │ Hint: To silence the warning, qualify `AbstractMatrix` as `Base.AbstractMatrix` in the method signature or explicitly `import Base: AbstractMatrix`. │ WARNING: Constructor for type "Tuple" was extended in `QuasiIteratorsMD` without explicit qualification or import. │ NOTE: Assumed "Tuple" refers to `Base.Tuple`. This behavior is deprecated and may differ in future versions. │ NOTE: This behavior may have differed in Julia versions prior to 1.12. │ Hint: If you intended to create a new generic function of the same name, use `function Tuple end`. │ Hint: To silence the warning, qualify `Tuple` as `Base.Tuple` in the method signature or explicitly `import Base: Tuple`. └ Precompiling packages... 8810.0 ms ✓ Polynomials → PolynomialsMutableArithmeticsExt 1 dependency successfully precompiled in 9 seconds. 28 already precompiled. Precompiling packages... 3240.4 ms ✓ Polynomials → PolynomialsChainRulesCoreExt 1 dependency successfully precompiled in 3 seconds. 24 already precompiled. Precompiling packages... 3359.2 ms ✓ NNlib → NNlibFFTWExt 1 dependency successfully precompiled in 4 seconds. 60 already precompiled. Precompiling packages... 7186.1 ms ✓ ToeplitzMatrices → ToeplitzMatricesStatsBaseExt 1 dependency successfully precompiled in 8 seconds. 78 already precompiled. Precompiling packages... 2955.0 ms ✓ FiniteDifferences 1 dependency successfully precompiled in 3 seconds. 18 already precompiled. [ Info: You have provided a NamedTuple with keys q and p; the data are tensors. This is interpreted as *symplectic data*. [ Info: You have provided a NamedTuple with keys q and p; the data are tensors. This is interpreted as *symplectic data*. [ Info: You have provided a NamedTuple with keys q and p; the data are tensors. This is interpreted as *symplectic data*. [ Info: You have provided a NamedTuple with keys q and p; the data are tensors. This is interpreted as *symplectic data*. [ Info: You have provided a NamedTuple with keys q and p; the data are tensors. This is interpreted as *symplectic data*. Test Summary: | Pass Total Time Check reduced model | 10 10 15m42.6s Test Summary: | Pass Total Time Check parameterlength | 9 9 0.5s Test Summary: | Pass Total Time Arrays #1 | 1801 1801 27.4s Test Summary: | Pass Total Time Map to skew | 1 1 0.5s Test Summary: | Pass Total Time Sampling of arrays | 8 8 1.5s Test Summary: | Pass Total Time Addition tests for custom arrays | 12 12 11.8s Test Summary: | Pass Total Time Scalar multiplication tests for custom arrays | 12 12 1.3s Test Summary: | Pass Total Time Matrix multiplication tests for custom arrays | 4 4 10.1s Test Summary: | Pass Total Time Test constructors for custom arrays | 5 5 4.5s Test Summary: | Pass Total Time Symplectic Potential (array tests) | 40 40 7.5s Test Summary: | Pass Total Time Test StiefelLieAlgHorMatrix constructors and lifts | 24 24 16.9s Test Summary: | Pass Total Time Test GrassmannLieAlgHorMatrix constructors and lifts | 24 24 11.3s Test Summary: | Pass Total Time Test triangular matrices | 13 13 10.5s Test Summary: | Pass Total Time Manifolds (Stiefel): | 74 74 12.3s Test Summary: | Pass Total Time Manifolds (Grassmann): | 270 270 5.3s ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 485 running 1 of 1 signal (10): User defined signal 1 egal_types at /source/src/builtins.c:182 ijl_types_equal at /source/src/subtype.c:2325 jl_specializations_get_linfo_ at /source/src/gf.c:237 #specialize_method#8 at ./runtime_internals.jl:1782 [inlined] specialize_method at ./runtime_internals.jl:1769 [inlined] typeinf_edge at ./../usr/share/julia/Compiler/src/typeinfer.jl:1029 abstract_call_method at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:735 infercalls at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:167 abstract_call_gf_by_type at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:338 abstract_call_known at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2796 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2903 abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:2896 [inlined] abstract_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3056 abstract_eval_call at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3074 [inlined] abstract_eval_statement_expr at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3430 abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3857 [inlined] abstract_eval_basic_statement at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:3814 [inlined] typeinf_local at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4363 jfptr_typeinf_local_84245.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:4521 typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1378 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1561 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1570 jfptr_typeinf_ext_toplevel_83848.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] jl_type_infer at /source/src/gf.c:462 jl_compile_method_internal at /source/src/gf.c:3514 _jl_invoke at /source/src/gf.c:4007 [inlined] ijl_apply_generic at /source/src/gf.c:4212 ProjectTo at /home/pkgeval/.julia/packages/ChainRulesCore/Vsbj9/src/projection.jl:319 [inlined] _project at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/chainrules.jl:190 [inlined] back at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/lib/lib.jl:232 [inlined] #373 at /home/pkgeval/.julia/packages/ZygoteRules/CkVIK/src/adjoint.jl:72 [inlined] apply_layer_to_nt_and_return_array at /home/pkgeval/.julia/packages/GeometricMachineLearning/VM4Us/src/layers/sympnets.jl:283 [inlined] Pullback at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface2.jl:0 Pullback at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface2.jl:110 unknown function (ip: 0x709d9098fd6e) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 applychain at /home/pkgeval/.julia/packages/AbstractNeuralNetworks/eqJgA/src/chain.jl (unknown line) [inlined] Pullback at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface2.jl:0 Pullback at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface2.jl:110 Pullback at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface2.jl:110 #pullback##0 at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface.jl:91 [inlined] gradient_pullback at /home/pkgeval/.julia/packages/AbstractNeuralNetworks/eqJgA/src/pullback_for_applychain.jl:13 unknown function (ip: 0x709d909731c4) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 gradient at /home/pkgeval/.julia/packages/Zygote/zowwZ/src/compiler/interface.jl:148 unknown function (ip: 0x709d909661e6) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 test_gradient_layer_derivative_and_update at /home/pkgeval/.julia/packages/GeometricMachineLearning/VM4Us/test/layers/gradient_layer_tests.jl:31 unknown function (ip: 0x709d90961294) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 test_gradient_layer_derivative_and_update at /home/pkgeval/.julia/packages/GeometricMachineLearning/VM4Us/test/layers/gradient_layer_tests.jl:25 unknown function (ip: 0x709d909608e0) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 top-level scope at /home/pkgeval/.julia/packages/GeometricMachineLearning/VM4Us/test/layers/gradient_layer_tests.jl:46 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_invoke at /source/src/gf.c:4022 jl_toplevel_eval_flex at /source/src/toplevel.c:762 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2847 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2907 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 unknown function (ip: 0x709dc68cf6f2) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_eval_module_expr at /source/src/toplevel.c:196 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:658 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 jfptr_eval_16554.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 include_string at ./loading.jl:2847 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2907 include at ./Base.jl:312 IncludeInto at ./Base.jl:313 jfptr_IncludeInto_36308.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:708 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:773 jl_toplevel_eval_flex at /source/src/toplevel.c:713 ijl_toplevel_eval at /source/src/toplevel.c:785 ijl_toplevel_eval_in at /source/src/toplevel.c:830 eval at ./boot.jl:489 exec_options at ./client.jl:286 _start at ./client.jl:553 jfptr__start_70166.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x709dc81b9249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_30142.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2375 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000771bff8762c0 Total snapshots: 419. Utilization: 0% ╎419 @Base/task.jl:1129 wait_forever() 418╎ 419 @Base/task.jl:1192 wait() [485] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/GeometricMachineLearning/VM4Us/test/layers/gradient_layer_tests.jl:42 gc_mark_objarray at /source/src/gc-stock.c:1811 gc_mark_outrefs at /source/src/gc-stock.c:2278 [inlined] gc_mark_loop_serial_ at /source/src/gc-stock.c:2524 gc_mark_loop_serial at /source/src/gc-stock.c:2547 gc_mark_loop at /source/src/gc-stock.c:2735 [inlined] _jl_gc_collect at /source/src/gc-stock.c:3080 ijl_gc_collect at /source/src/gc-stock.c:3489 maybe_collect at /source/src/gc-stock.c:349 [inlined] jl_gc_small_alloc_inner at /source/src/gc-stock.c:725 ijl_gc_small_alloc at /source/src/gc-stock.c:774 verify_ir at ./../usr/share/julia/Compiler/src/ssair/verify.jl:433 run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1070 run_passes_ipo_safe at ./../usr/share/julia/Compiler/src/optimize.jl:1048 [inlined] optimize at ./../usr/share/julia/Compiler/src/optimize.jl:1021 jfptr_optimize_86167.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 PkgEval terminated after 2723.53s: test duration exceeded the time limit