Package evaluation of GeometricMachineLearning on Julia 1.10.8 (92f03a4775*) started at 2025-02-25T12:40:54.218 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 5.21s ################################################################################ # Installation # Installing GeometricMachineLearning... Resolving package versions... Updating `~/.julia/environments/v1.10/Project.toml` [194d25b2] + GeometricMachineLearning v0.4.1 Updating `~/.julia/environments/v1.10/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [60874f82] + AbstractNeuralNetworks v0.6.0 [79e6a3ab] + Adapt v4.2.0 [66dad0bd] + AliasTables v1.1.3 [4c555306] + ArrayLayouts v1.11.1 [a9b6321e] + Atomix v1.1.0 [aae01518] + BandedMatrices v1.9.1 [fa961155] + CEnum v0.5.0 [082447d4] + ChainRules v1.72.2 [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 v0.18.20 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [b4f34e82] + Distances v0.10.12 [ffbed154] + DocStringExtensions v0.9.3 [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 v0.4.1 [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 v0.9.27 [77ba4419] + NaNMath v1.1.2 [6fe1bfb0] + OffsetArrays v1.15.0 [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 v1.10.2 [43287f4e] + PtrArrays v1.3.0 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.0 [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 v1.9.12 [1e83bf80] + StaticArraysCore v1.4.3 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [09ab397b] + StructArrays v0.7.0 [fd094767] + Suppressor v0.2.8 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [a759f4b9] + TimerOutputs v0.5.27 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.0 [770da0de] + UpdateJulia v0.4.4 ⌅ [e88e6eb3] + Zygote v0.6.75 [700de1a5] + ZygoteRules v0.2.7 [0234f1f7] + HDF5_jll v1.14.5+0 [e33a78d0] + Hwloc_jll v2.12.0+0 [dad2f222] + LLVMExtra_jll v0.0.35+0 [7cb0a576] + MPICH_jll v4.3.0+0 [f1f71cc9] + MPItrampoline_jll v5.5.2+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [fe0851c0] + OpenMPI_jll v5.0.7+0 [458c3c95] + OpenSSL_jll v3.0.16+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [477f73a3] + libaec_jll v1.1.3+0 [0dad84c5] + ArgTools v1.1.1 [56f22d72] + Artifacts [2a0f44e3] + Base64 [ade2ca70] + Dates [8ba89e20] + Distributed [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching [b77e0a4c] + InteractiveUtils [4af54fe1] + LazyArtifacts [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 [8f399da3] + Libdl [37e2e46d] + LinearAlgebra [56ddb016] + Logging [d6f4376e] + Markdown [a63ad114] + Mmap [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.10.0 [de0858da] + Printf [3fa0cd96] + REPL [9a3f8284] + Random [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization [6462fe0b] + Sockets [2f01184e] + SparseArrays v1.10.0 [10745b16] + Statistics v1.10.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test [cf7118a7] + UUIDs [4ec0a83e] + Unicode [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.4.0+0 [e37daf67] + LibGit2_jll v1.6.4+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.2+1 [14a3606d] + MozillaCACerts_jll v2023.1.10 [4536629a] + OpenBLAS_jll v0.3.23+4 [05823500] + OpenLibm_jll v0.8.1+4 [bea87d4a] + SuiteSparse_jll v7.2.1+1 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.52.0+1 [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 14.81s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 635.5s ################################################################################ # Testing # Testing GeometricMachineLearning Status `/tmp/jl_U57TKK/Project.toml` [60874f82] AbstractNeuralNetworks v0.6.0 [aae01518] BandedMatrices v1.9.1 [082447d4] ChainRules v1.72.2 [d360d2e6] ChainRulesCore v1.25.1 [cdddcdb0] ChainRulesTestUtils v1.13.0 [b4f34e82] Distances v0.10.12 [e30172f5] Documenter v1.8.1 [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 v0.4.1 [f67ccb44] HDF5 v0.17.2 [63c18a36] KernelAbstractions v0.9.34 ⌅ [5078a376] LazyArrays v2.3.2 [872c559c] NNlib v0.9.27 [92933f4c] ProgressMeter v1.10.2 [1bc83da4] SafeTestsets v0.1.0 [2913bbd2] StatsBase v0.34.4 [a759f4b9] TimerOutputs v0.5.27 [770da0de] UpdateJulia 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CompilerSupportLibraries_jll v1.1.1+0 [781609d7] GMP_jll v6.2.1+6 [deac9b47] LibCURL_jll v8.4.0+0 [e37daf67] LibGit2_jll v1.6.4+0 [29816b5a] LibSSH2_jll v1.11.0+1 [3a97d323] MPFR_jll v4.2.0+1 [c8ffd9c3] MbedTLS_jll v2.28.2+1 [14a3606d] MozillaCACerts_jll v2023.1.10 [4536629a] OpenBLAS_jll v0.3.23+4 [05823500] OpenLibm_jll v0.8.1+4 [efcefdf7] PCRE2_jll v10.42.0+1 [bea87d4a] SuiteSparse_jll v7.2.1+1 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.52.0+1 [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... [ 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 1m22.8s [ 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: 0:41:26 TrainingLoss: 1.2816999731153007   Progress: 72%|█████████████████████████████▌ | ETA: 0:00:21 TrainingLoss: 0.3181775755874492   Progress: 83%|██████████████████████████████████ | ETA: 0:00:11 TrainingLoss: 0.31449356486223634   Progress: 88%|████████████████████████████████████▏ | ETA: 0:00:07 TrainingLoss: 0.31351682665380565   Progress: 93%|██████████████████████████████████████▏ | ETA: 0:00:04 TrainingLoss: 0.31161204930595154   Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:01 TrainingLoss: 0.3119633800012263   Progress: 100%|█████████████████████████████████████████| Time: 0:00:54 TrainingLoss: 0.31035712056221537 [ 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: 1.1071970180453177   Progress: 90%|████████████████████████████████████▉ | ETA: 0:00:00 TrainingLoss: 0.8519162586722139   Progress: 100%|█████████████████████████████████████████| Time: 0:00:00 TrainingLoss: 0.8058460747077654 [ 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: 0:05:40 TrainingLoss: 1.0094979949224023   Progress: 4%|█▋ | ETA: 0:02:50 TrainingLoss: 0.8986277185924152   Progress: 6%|██▌ | ETA: 0:01:53 TrainingLoss: 0.7965540888284857   Progress: 8%|███▎ | ETA: 0:01:24 TrainingLoss: 0.7129156254685747   Progress: 10%|████▏ | ETA: 0:01:07 TrainingLoss: 0.6326650269518537   Progress: 12%|████▉ | ETA: 0:00:55 TrainingLoss: 0.5600899975077268   Progress: 14%|█████▊ | ETA: 0:00:47 TrainingLoss: 0.49943751436039874   Progress: 16%|██████▌ | ETA: 0:00:41 TrainingLoss: 0.4542985772316662   Progress: 18%|███████▍ | ETA: 0:00:36 TrainingLoss: 0.4251523026881435   Progress: 20%|████████▎ | ETA: 0:00:32 TrainingLoss: 0.40397582128350357   Progress: 22%|█████████ | ETA: 0:00:29 TrainingLoss: 0.3884964272322549   Progress: 24%|█████████▉ | ETA: 0:00:26 TrainingLoss: 0.37578972820310896   Progress: 26%|██████████▋ | ETA: 0:00:24 TrainingLoss: 0.36597860069056115   Progress: 28%|███████████▌ | ETA: 0:00:22 TrainingLoss: 0.3573804130276463   Progress: 30%|████████████▎ | ETA: 0:00:20 TrainingLoss: 0.35180107427171536   Progress: 32%|█████████████▏ | ETA: 0:00:19 TrainingLoss: 0.3481892883914172   Progress: 34%|██████████████ | ETA: 0:00:17 TrainingLoss: 0.3459790676665156   Progress: 36%|██████████████▊ | ETA: 0:00:16 TrainingLoss: 0.3442595775922099   Progress: 38%|███████████████▋ | ETA: 0:00:15 TrainingLoss: 0.34339877247335027   Progress: 40%|████████████████▍ | ETA: 0:00:14 TrainingLoss: 0.34266316531212804   Progress: 42%|█████████████████▎ | ETA: 0:00:13 TrainingLoss: 0.34240722776858246   Progress: 44%|██████████████████ | ETA: 0:00:12 TrainingLoss: 0.3408348279159204   Progress: 46%|██████████████████▉ | ETA: 0:00:11 TrainingLoss: 0.34061430159945916   Progress: 48%|███████████████████▋ | ETA: 0:00:11 TrainingLoss: 0.34041168812769973   Progress: 50%|████████████████████▌ | ETA: 0:00:10 TrainingLoss: 0.33973495417470706   Progress: 52%|█████████████████████▍ | ETA: 0:00:09 TrainingLoss: 0.3402719819818939   Progress: 54%|██████████████████████▏ | ETA: 0:00:09 TrainingLoss: 0.3398760846443786   Progress: 56%|███████████████████████ | ETA: 0:00:08 TrainingLoss: 0.33963422718903524   Progress: 58%|███████████████████████▊ | ETA: 0:00:08 TrainingLoss: 0.33915875744722757   Progress: 60%|████████████████████████▋ | ETA: 0:00:07 TrainingLoss: 0.33896786654162814   Progress: 62%|█████████████████████████▍ | ETA: 0:00:07 TrainingLoss: 0.33846438363665726   Progress: 64%|██████████████████████████▎ | ETA: 0:00:06 TrainingLoss: 0.3384970388572496   Progress: 66%|███████████████████████████ | ETA: 0:00:06 TrainingLoss: 0.3380762052415591   Progress: 68%|███████████████████████████▉ | ETA: 0:00:05 TrainingLoss: 0.33821580993654676   Progress: 70%|████████████████████████████▊ | ETA: 0:00:05 TrainingLoss: 0.3374638057487168   Progress: 72%|█████████████████████████████▌ | ETA: 0:00:04 TrainingLoss: 0.3374182453467938   Progress: 74%|██████████████████████████████▍ | ETA: 0:00:04 TrainingLoss: 0.33738078159815277   Progress: 76%|███████████████████████████████▏ | ETA: 0:00:04 TrainingLoss: 0.3370356311515773   Progress: 78%|████████████████████████████████ | ETA: 0:00:03 TrainingLoss: 0.3370847276255259   Progress: 80%|████████████████████████████████▊ | ETA: 0:00:03 TrainingLoss: 0.3367727008186475   Progress: 82%|█████████████████████████████████▋ | ETA: 0:00:03 TrainingLoss: 0.3369324112207386   Progress: 84%|██████████████████████████████████▌ | ETA: 0:00:02 TrainingLoss: 0.33613661132190986   Progress: 86%|███████████████████████████████████▎ | ETA: 0:00:02 TrainingLoss: 0.33603229162793175   Progress: 88%|████████████████████████████████████▏ | ETA: 0:00:02 TrainingLoss: 0.3360245381722643   Progress: 90%|████████████████████████████████████▉ | ETA: 0:00:01 TrainingLoss: 0.33596250478355916   Progress: 92%|█████████████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.33633843660031104   Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:01 TrainingLoss: 0.33638366443570183   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:01 TrainingLoss: 0.3359027055079226   Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:00 TrainingLoss: 0.33589360535653784   Progress: 100%|█████████████████████████████████████████| Time: 0:00:12 TrainingLoss: 0.33582699936369526 [ 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: 0.7552064597587445   Progress: 40%|████████████████▍ | ETA: 0:00:00 TrainingLoss: 0.6321219441286908   Progress: 60%|████████████████████████▋ | ETA: 0:00:00 TrainingLoss: 0.5761795434383256   Progress: 80%|████████████████████████████████▊ | ETA: 0:00:00 TrainingLoss: 0.5365361124443165   Progress: 100%|█████████████████████████████████████████| Time: 0:00:00 TrainingLoss: 0.5040494985390713 Test Summary: | Pass Total Time SymplecticAutoencoder tests | 10 10 1m52.5s [ 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: 0:17:55 TrainingLoss: 1.1157266194850208   Progress: 4%|█▋ | ETA: 0:08:51 TrainingLoss: 0.8766600845007227   Progress: 6%|██▌ | ETA: 0:05:50 TrainingLoss: 0.6786124227601487   Progress: 8%|███▎ | ETA: 0:04:19 TrainingLoss: 0.5329246213562933   Progress: 9%|███▊ | ETA: 0:03:49 TrainingLoss: 0.4977662846187029   Progress: 11%|████▌ | ETA: 0:03:04 TrainingLoss: 0.47322532147076846   Progress: 13%|█████▍ | ETA: 0:02:34 TrainingLoss: 0.4535042495977925   Progress: 15%|██████▏ | ETA: 0:02:11 TrainingLoss: 0.43814405166875253   Progress: 17%|███████ | ETA: 0:01:54 TrainingLoss: 0.42669939052938266   Progress: 19%|███████▊ | ETA: 0:01:40 TrainingLoss: 0.4149465291275126   Progress: 21%|████████▋ | ETA: 0:01:29 TrainingLoss: 0.40895176971570973   Progress: 23%|█████████▍ | ETA: 0:01:20 TrainingLoss: 0.4003090931652439   Progress: 25%|██████████▎ | ETA: 0:01:12 TrainingLoss: 0.39701229222368817   Progress: 27%|███████████▏ | ETA: 0:01:06 TrainingLoss: 0.3932178554435994   Progress: 29%|███████████▉ | ETA: 0:01:00 TrainingLoss: 0.39105727044115557   Progress: 31%|████████████▊ | ETA: 0:00:55 TrainingLoss: 0.387831046005209   Progress: 33%|█████████████▌ | ETA: 0:00:50 TrainingLoss: 0.3872264949525711   Progress: 35%|██████████████▍ | ETA: 0:00:46 TrainingLoss: 0.38816947033752436   Progress: 37%|███████████████▏ | ETA: 0:00:43 TrainingLoss: 0.3848457362549464   Progress: 39%|████████████████ | ETA: 0:00:40 TrainingLoss: 0.38464790564269763   Progress: 41%|████████████████▊ | ETA: 0:00:37 TrainingLoss: 0.38378215751715467   Progress: 43%|█████████████████▋ | ETA: 0:00:34 TrainingLoss: 0.38339861965245225   Progress: 45%|██████████████████▌ | ETA: 0:00:32 TrainingLoss: 0.3819990276757207   Progress: 47%|███████████████████▎ | ETA: 0:00:29 TrainingLoss: 0.38006718800874195   Progress: 49%|████████████████████▏ | ETA: 0:00:27 TrainingLoss: 0.38103841444012587   Progress: 51%|████████████████████▉ | ETA: 0:00:25 TrainingLoss: 0.37936602141242026   Progress: 53%|█████████████████████▊ | ETA: 0:00:24 TrainingLoss: 0.3782944241393212   Progress: 55%|██████████████████████▌ | ETA: 0:00:22 TrainingLoss: 0.37845717006569596   Progress: 57%|███████████████████████▍ | ETA: 0:00:20 TrainingLoss: 0.37923075685168656   Progress: 59%|████████████████████████▎ | ETA: 0:00:19 TrainingLoss: 0.3771577288471746   Progress: 61%|█████████████████████████ | ETA: 0:00:17 TrainingLoss: 0.37596862779063683   Progress: 63%|█████████████████████████▉ | ETA: 0:00:16 TrainingLoss: 0.3783558999567599   Progress: 65%|██████████████████████████▋ | ETA: 0:00:15 TrainingLoss: 0.3760688363843648   Progress: 67%|███████████████████████████▌ | ETA: 0:00:14 TrainingLoss: 0.37683580196310296   Progress: 69%|████████████████████████████▎ | ETA: 0:00:13 TrainingLoss: 0.37773103657187274   Progress: 71%|█████████████████████████████▏ | ETA: 0:00:12 TrainingLoss: 0.3770756407897993   Progress: 73%|█████████████████████████████▉ | ETA: 0:00:11 TrainingLoss: 0.3743360912621616   Progress: 75%|██████████████████████████████▊ | ETA: 0:00:10 TrainingLoss: 0.374389967332482   Progress: 77%|███████████████████████████████▋ | ETA: 0:00:09 TrainingLoss: 0.37541486978427946   Progress: 79%|████████████████████████████████▍ | ETA: 0:00:08 TrainingLoss: 0.3742037108186158   Progress: 81%|█████████████████████████████████▎ | ETA: 0:00:07 TrainingLoss: 0.37457930259412386   Progress: 83%|██████████████████████████████████ | ETA: 0:00:06 TrainingLoss: 0.3747935898480209   Progress: 85%|██████████████████████████████████▉ | ETA: 0:00:05 TrainingLoss: 0.37439941903739105   Progress: 87%|███████████████████████████████████▋ | ETA: 0:00:04 TrainingLoss: 0.37499037357330023   Progress: 89%|████████████████████████████████████▌ | ETA: 0:00:04 TrainingLoss: 0.37353780012764315   Progress: 91%|█████████████████████████████████████▎ | ETA: 0:00:03 TrainingLoss: 0.3733440905187511   Progress: 93%|██████████████████████████████████████▏ | ETA: 0:00:02 TrainingLoss: 0.3731590509466052   Progress: 95%|███████████████████████████████████████ | ETA: 0:00:02 TrainingLoss: 0.37149786667335416   Progress: 97%|███████████████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.3724974369978503   Progress: 99%|████████████████████████████████████████▋| ETA: 0:00:00 TrainingLoss: 0.37131828713642606   Progress: 100%|█████████████████████████████████████████| Time: 0:00:30 TrainingLoss: 0.37296662494358357 [ 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: 0:18:44 TrainingLoss: 2.750779313334391   Progress: 3%|█▎ | ETA: 0:06:12 TrainingLoss: 1.4918812855286652   Progress: 5%|██ | ETA: 0:03:41 TrainingLoss: 0.9707592340321023   Progress: 7%|██▉ | ETA: 0:02:36 TrainingLoss: 0.8029027190938879   Progress: 9%|███▊ | ETA: 0:02:00 TrainingLoss: 0.7089245619172507   Progress: 11%|████▌ | ETA: 0:01:37 TrainingLoss: 0.6650751284482015   Progress: 13%|█████▍ | ETA: 0:01:21 TrainingLoss: 0.6509421248153064   Progress: 15%|██████▏ | ETA: 0:01:09 TrainingLoss: 0.6400552592289147   Progress: 17%|███████ | ETA: 0:01:00 TrainingLoss: 0.6326569940186879   Progress: 19%|███████▊ | ETA: 0:00:53 TrainingLoss: 0.6324359993644229   Progress: 21%|████████▋ | ETA: 0:00:47 TrainingLoss: 0.6155198219900563   Progress: 23%|█████████▍ | ETA: 0:00:42 TrainingLoss: 0.6055088383752906   Progress: 25%|██████████▎ | ETA: 0:00:38 TrainingLoss: 0.5927948742655768   Progress: 27%|███████████▏ | ETA: 0:00:35 TrainingLoss: 0.5799785276636031   Progress: 29%|███████████▉ | ETA: 0:00:32 TrainingLoss: 0.5626758785663285   Progress: 31%|████████████▊ | ETA: 0:00:29 TrainingLoss: 0.5527549577170389   Progress: 33%|█████████████▌ | ETA: 0:00:27 TrainingLoss: 0.529475158712307   Progress: 35%|██████████████▍ | ETA: 0:00:25 TrainingLoss: 0.5139803032195264   Progress: 37%|███████████████▏ | ETA: 0:00:23 TrainingLoss: 0.49257941148157897   Progress: 39%|████████████████ | ETA: 0:00:21 TrainingLoss: 0.4761799437778959   Progress: 41%|████████████████▊ | ETA: 0:00:20 TrainingLoss: 0.4609217912198453   Progress: 43%|█████████████████▋ | ETA: 0:00:18 TrainingLoss: 0.44442805177215977   Progress: 45%|██████████████████▌ | ETA: 0:00:17 TrainingLoss: 0.4384447113047916   Progress: 47%|███████████████████▎ | ETA: 0:00:16 TrainingLoss: 0.4240353214398184   Progress: 49%|████████████████████▏ | ETA: 0:00:15 TrainingLoss: 0.42092373357389157   Progress: 51%|████████████████████▉ | ETA: 0:00:14 TrainingLoss: 0.4194593936543371   Progress: 54%|█████████████████████▉ | ETA: 0:00:13 TrainingLoss: 0.41748647781845527   Progress: 56%|███████████████████████ | ETA: 0:00:11 TrainingLoss: 0.41120148209003965   Progress: 58%|███████████████████████▊ | ETA: 0:00:11 TrainingLoss: 0.4089843714405846   Progress: 60%|████████████████████████▋ | ETA: 0:00:10 TrainingLoss: 0.4055533678300646   Progress: 62%|█████████████████████████▍ | ETA: 0:00:09 TrainingLoss: 0.40752658361672595   Progress: 64%|██████████████████████████▎ | ETA: 0:00:08 TrainingLoss: 0.4041097599833284   Progress: 66%|███████████████████████████ | ETA: 0:00:08 TrainingLoss: 0.40518229640413134   Progress: 68%|███████████████████████████▉ | ETA: 0:00:07 TrainingLoss: 0.40702214286790545   Progress: 70%|████████████████████████████▊ | ETA: 0:00:07 TrainingLoss: 0.4065158060061967   Progress: 72%|█████████████████████████████▌ | ETA: 0:00:06 TrainingLoss: 0.40195185845827724   Progress: 74%|██████████████████████████████▍ | ETA: 0:00:05 TrainingLoss: 0.3999702636597337   Progress: 76%|███████████████████████████████▏ | ETA: 0:00:05 TrainingLoss: 0.4006511282365847   Progress: 78%|████████████████████████████████ | ETA: 0:00:04 TrainingLoss: 0.4012792702325194   Progress: 80%|████████████████████████████████▊ | ETA: 0:00:04 TrainingLoss: 0.40116641694145144   Progress: 82%|█████████████████████████████████▋ | ETA: 0:00:04 TrainingLoss: 0.39655901433854085   Progress: 84%|██████████████████████████████████▌ | ETA: 0:00:03 TrainingLoss: 0.4009217019620994   Progress: 86%|███████████████████████████████████▎ | ETA: 0:00:03 TrainingLoss: 0.4007611124102302   Progress: 88%|████████████████████████████████████▏ | ETA: 0:00:02 TrainingLoss: 0.3974349095309944   Progress: 90%|████████████████████████████████████▉ | ETA: 0:00:02 TrainingLoss: 0.3973688944316582   Progress: 92%|█████████████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.39766650294255873   Progress: 94%|██████████████████████████████████████▌ | ETA: 0:00:01 TrainingLoss: 0.39540582433666693   Progress: 96%|███████████████████████████████████████▍ | ETA: 0:00:01 TrainingLoss: 0.3962280741684434   Progress: 98%|████████████████████████████████████████▏| ETA: 0:00:00 TrainingLoss: 0.39475428922213934   Progress: 100%|█████████████████████████████████████████| Time: 0:00:17 TrainingLoss: 0.39590203009706953 Test Summary: | Pass Total Time Check if autoencoder error is lower than PSD error | 2 2 1m03.1s [ 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 11m18.3s Test Summary: | Pass Total Time Check parameterlength | 9 9 0.5s Test Summary: | Pass Total Time Arrays #1 | 1801 1801 33.4s Test Summary: | Pass Total Time Map to skew | 1 1 0.6s Test Summary: | Pass Total Time Sampling of arrays | 8 8 1.0s Test Summary: | Pass Total Time Addition tests for custom arrays | 12 12 13.4s Test Summary: | Pass Total Time Scalar multiplication tests for custom arrays | 12 12 0.9s Test Summary: | Pass Total Time Matrix multiplication tests for custom arrays | 4 4 11.9s Test Summary: | Pass Total Time Test constructors for custom arrays | 5 5 3.1s Test Summary: | Pass Total Time Symplectic Potential (array tests) | 40 40 5.0s Test Summary: | Pass Total Time Test StiefelLieAlgHorMatrix constructors and lifts | 24 24 28.8s Test Summary: | Pass Total Time Test GrassmannLieAlgHorMatrix constructors and lifts | 24 24 31.9s Test Summary: | Pass Total Time Test triangular matrices | 13 13 16.2s Test Summary: | Pass Total Time Manifolds (Stiefel): | 74 74 23.8s Test Summary: | Pass Total Time Manifolds (Grassmann): | 270 270 2.3s Test Summary: | Pass Total Time Gradient Layer | 144 144 1m37.2s Test Summary: | Pass Total Time Test symplecticity of upscaling layer | 3 3 10.1s Test Summary: | Pass Total Time Hamiltonian Neural Network | 1 1 0.9s Test Summary: | Pass Total Time Manifold Neural Network Layers | 432 432 1m17.3s Test Summary: | Pass Total Time Custom tensor matrix multiplication | 11 11 11.0s Test Summary: | Pass Total Time Custom inverse for 2x2, 3x3, 4x4, 5x5 matrices | 110 110 39.2s ┌ Warning: inference tests have been disabled └ @ ChainRulesTestUtils ~/.julia/packages/ChainRulesTestUtils/Ko1Wr/src/global_config.jl:13 Test Summary: | Pass Total Time Custom AD rules for kernels | 1690 1690 1m13.0s Test Summary: | Pass Total Time ResNet | 128 128 19.4s Test Summary: | Pass Total Time Test setup of MultiHeadAttention layer Stiefel weights | 96 96 4.8s Test Summary: | Pass Total Time Test geodesic and Cayley retr for the MultiHeadAttention layer w/ St weights | 96 96 2.7s Test Summary: | Pass Total Time Test the correct setup of the various optimizer caches for MultiHeadAttention | 288 288 6.1s Test Summary: | Pass Total Time Check if the transformer can be applied to a tensor. | 4 4 29.1s Test Summary: | Pass Total Time Check if the gradient/pullback of MultiHeadAttention changes type in St case | 4 4 58.0s Test Summary: | Pass Total Time Check if the optimization_step! changes the parameters of the transformer | 2 2 58.3s Test Summary: | Pass Total Time Attention layer #1 | 48 48 1m02.4s Test Summary: | Pass Total Time Classification layer | 4 4 8.4s Test Summary: | Pass Total Time Optimizer #1 | 135 135 1.1s Test Summary: | Pass Total Time Optimizer #2 | 196 196 17.8s Test Summary: | Pass Total Time Optimizer #3 | 220 220 35.8s Test Summary: | Pass Total Time Optimizer #4 | 16 16 10.5s Test Summary: | Pass Total Time Optimizer #5 | 16 16 7.2s ┌ Info: You have provided a tensor with three axes as input. They will be interpreted as └ (i) system dimension, (ii) number of time steps and (iii) number of params. 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99%|████████████████████████████████████████▉| ETA: 0:00:00 TrainingLoss: 0.1058436182440589   Progress: 100%|█████████████████████████████████████████| Time: 0:00:06 TrainingLoss: 0.10657732093886442 Test Summary: | Pass Total Time Check if Adam with decay converges | 1 1 33.7s 199.1050465720089 163.6497495571833 5.684178392470144 3.4115457050543765 Test Summary: | Pass Total Time BFGS Optimizer tests | 2 2 20.7s Test Summary: | Pass Total Time Data | 42 42 8.2s Test Summary: | Pass Total Time Batch | 11 11 10.8s Test Summary: | Pass Total Time Method | 34 34 20.5s Test Summary: | Pass Total Time Matching | 7 7 5.5s [ Info: You have provided a NamedTuple with keys q and p; the data are matrices. 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: | Time Test data loader for q and p data | None 10.8s [ Info: You provided a tensor and a vector as input. This will be treated as a classification problem (MNIST). Tensor axes: (i) & (ii) image axes and (iii) parameter dimension. Test Summary: | Pass Total Time Test mnist_utils. | 3139 3139 15.5s ┌ Info: You have provided a tensor with three axes as input. They will be interpreted as └ (i) system dimension, (ii) number of time steps and (iii) number of params. Test Summary: | Pass Total Time Test the data loader in combination with optimization_step! | 1 1 35.7s WARNING: Method definition (::Type{AbstractNeuralNetworks.Chain{LT} where LT<:Tuple})(AbstractNeuralNetworks.Chain{LT} where LT<:Tuple, AbstractNeuralNetworks.AbstractExplicitLayer{N, M} where M where N) in module AbstractNeuralNetworks at /home/pkgeval/.julia/packages/AbstractNeuralNetworks/DoZLL/src/chain.jl:69 overwritten in module ##Optimizer functor with data loader for Adam #2470 at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/data_loader/optimizer_functor_with_adam.jl:8. [ Info: You provided a tensor and a vector as input. This will be treated as a classification problem (MNIST). Tensor axes: (i) & (ii) image axes and (iii) parameter dimension. Test Summary: | Pass Total Time Optimizer functor with data loader for Adam | 1 1 27.3s [ 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 Test data loader for a tensor (q and p data) | 76 76 1.1s ┌ Info: You have provided a tensor with three axes as input. They will be interpreted as └ (i) system dimension, (ii) number of time steps and (iii) number of params. Progress: 20%|████████▎ | ETA: 0:00:13 TrainingLoss: 0.6021645144976507   Progress: 70%|████████████████████████████▊ | ETA: 0:00:01 TrainingLoss: 0.08182783450451953   Progress: 100%|█████████████████████████████████████████| Time: 0:00:03 TrainingLoss: 0.021366144527344248 Test Summary: | Pass Total Time Test NetworkLoss + Optimizer | 1 1 5.0s Test Summary: | Pass Total Time Test parallel inverses | 110 110 0.8s Test Summary: | Pass Total Time Test parallel Cayley | 60 60 10.0s ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 390 running 1 of 1 signal (10): User defined signal 1 unknown function (ip: 0x7e1dc32bfd89) malloc at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) operator new at /workspace/srcdir/gcc-13.2.0/libstdc++-v3/libsupc++/new_op.cc:50 _ZN4llvm8DenseMapIPKNS_4SCEVENS_5APIntENS_12DenseMapInfoIS3_vEENS_6detail12DenseMapPairIS3_S4_EEE4growEj at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm12DenseMapBaseINS_8DenseMapIPKNS_4SCEVENS_5APIntENS_12DenseMapInfoIS4_vEENS_6detail12DenseMapPairIS4_S5_EEEES4_S5_S7_SA_E11try_emplaceIJS5_EEESt4pairINS_16DenseMapIteratorIS4_S5_S7_SA_Lb0EEEbEOS4_DpOT_ at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZL28CollectAddOperandsWithScalesRN4llvm8DenseMapIPKNS_4SCEVENS_5APIntENS_12DenseMapInfoIS3_vEENS_6detail12DenseMapPairIS3_S4_EEEERNS_15SmallVectorImplIS3_EERS4_PKS3_mRKS4_RNS_15ScalarEvolutionE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution10getAddExprERNS_15SmallVectorImplIPKNS_4SCEVEEENS2_11NoWrapFlagsEj at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution10getAddExprEPKNS_4SCEVES3_NS1_11NoWrapFlagsEj at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution12getMinusSCEVEPKNS_4SCEVES3_NS1_11NoWrapFlagsEj at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution24computeExitLimitFromICmpEPKNS_4LoopENS_7CmpInst9PredicateEPKNS_4SCEVES8_bb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution24computeExitLimitFromICmpEPKNS_4LoopEPNS_8ICmpInstEbbb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution28computeExitLimitFromCondImplERNS0_14ExitLimitCacheEPKNS_4LoopEPNS_5ValueEbbb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution30computeExitLimitFromCondCachedERNS0_14ExitLimitCacheEPKNS_4LoopEPNS_5ValueEbbb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution24computeExitLimitFromCondEPKNS_4LoopEPNS_5ValueEbbb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution16computeExitLimitEPKNS_4LoopEPNS_10BasicBlockEb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution25computeBackedgeTakenCountEPKNS_4LoopEb at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution20getBackedgeTakenInfoEPKNS_4LoopE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm15ScalarEvolution12getExitCountEPKNS_4LoopEPKNS_10BasicBlockENS0_13ExitCountKindE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN12_GLOBAL__N_130InductiveRangeCheckElimination3runEPN4llvm4LoopENS1_12function_refIFvS3_bEEE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm8IRCEPass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:88 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:88 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:88 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) run at /source/src/pipeline.cpp:744 operator() at /source/src/jitlayers.cpp:1257 withModuleDo<(anonymous namespace)::OptimizerT::operator()(llvm::orc::ThreadSafeModule, llvm::orc::MaterializationResponsibility&):: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1222 [inlined] CallImpl<(anonymous namespace)::OptimizerT> at /source/usr/include/llvm/ADT/FunctionExtras.h:222 _ZN4llvm3orc16IRTransformLayer4emitESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EENS0_16ThreadSafeModuleE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) emit at /source/src/jitlayers.cpp:724 _ZN4llvm3orc31BasicIRLayerMaterializationUnit11materializeESt10unique_ptrINS0_29MaterializationResponsibilityESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc19MaterializationTask3runEv at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm6detail18UniqueFunctionBaseIvJSt10unique_ptrINS_3orc4TaskESt14default_deleteIS4_EEEE8CallImplIPFvS7_EEEvPvRS7_ at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc16ExecutionSession12dispatchTaskESt10unique_ptrINS0_4TaskESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc16ExecutionSession22dispatchOutstandingMUsEv at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc16ExecutionSession17OL_completeLookupESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EESt10shared_ptrINS0_23AsynchronousSymbolQueryEESt8functionIFvRKNS_8DenseMapIPNS0_8JITDylibENS_8DenseSetINS0_15SymbolStringPtrENS_12DenseMapInfoISF_vEEEENSG_ISD_vEENS_6detail12DenseMapPairISD_SI_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc25InProgressFullLookupState8completeESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc16ExecutionSession19OL_applyQueryPhase1ESt10unique_ptrINS0_21InProgressLookupStateESt14default_deleteIS3_EENS_5ErrorE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc16ExecutionSession6lookupENS0_10LookupKindERKSt6vectorISt4pairIPNS0_8JITDylibENS0_19JITDylibLookupFlagsEESaIS8_EENS0_15SymbolLookupSetENS0_11SymbolStateENS_15unique_functionIFvNS_8ExpectedINS_8DenseMapINS0_15SymbolStringPtrENS_18JITEvaluatedSymbolENS_12DenseMapInfoISI_vEENS_6detail12DenseMapPairISI_SJ_EEEEEEEEESt8functionIFvRKNSH_IS6_NS_8DenseSetISI_SL_EENSK_IS6_vEENSN_IS6_SV_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) _ZN4llvm3orc16ExecutionSession6lookupERKSt6vectorISt4pairIPNS0_8JITDylibENS0_19JITDylibLookupFlagsEESaIS7_EENS0_15SymbolLookupSetENS0_10LookupKindENS0_11SymbolStateESt8functionIFvRKNS_8DenseMapIS5_NS_8DenseSetINS0_15SymbolStringPtrENS_12DenseMapInfoISI_vEEEENSJ_IS5_vEENS_6detail12DenseMapPairIS5_SL_EEEEEE at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) addModule at /source/src/jitlayers.cpp:1604 jl_add_to_ee at /source/src/jitlayers.cpp:2015 _jl_compile_codeinst at /source/src/jitlayers.cpp:276 jl_generate_fptr_impl at /source/src/jitlayers.cpp:528 jl_compile_method_internal at /source/src/gf.c:2481 [inlined] jl_compile_method_internal at /source/src/gf.c:2368 _jl_invoke at /source/src/gf.c:2887 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_apply at /source/src/builtins.c:768 _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_apply at /source/src/builtins.c:768 _apply at ./boot.jl:838 adjoint at /home/pkgeval/.julia/packages/Zygote/TWpme/src/lib/lib.jl:202 [inlined] _pullback at /home/pkgeval/.julia/packages/ZygoteRules/CkVIK/src/adjoint.jl:67 [inlined] ComposedFunction at ./operators.jl:1041 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/TWpme/src/compiler/interface2.jl:0 unknown function (ip: 0x7e1da304a120) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 pullback at /home/pkgeval/.julia/packages/Zygote/TWpme/src/compiler/interface.jl:90 pullback at /home/pkgeval/.julia/packages/Zygote/TWpme/src/compiler/interface.jl:88 [inlined] withjacobian at /home/pkgeval/.julia/packages/Zygote/TWpme/src/lib/grad.jl:181 jacobian at /home/pkgeval/.julia/packages/Zygote/TWpme/src/lib/grad.jl:168 [inlined] test_volume_preservation at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/layers/volume_preserving_feedforward.jl:7 unknown function (ip: 0x7e1da3049e0a) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 #test_volume_preserving_feedforward#3 at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/layers/volume_preserving_feedforward.jl:25 test_volume_preserving_feedforward at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/layers/volume_preserving_feedforward.jl:11 [inlined] test_volume_preserving_feedforward at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/layers/volume_preserving_feedforward.jl:11 unknown function (ip: 0x7e1da301d425) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:635 jl_interpret_toplevel_thunk at /source/src/interpreter.c:775 jl_toplevel_eval_flex at /source/src/toplevel.c:934 jl_toplevel_eval_flex at /source/src/toplevel.c:877 ijl_toplevel_eval_in at /source/src/toplevel.c:985 eval at ./boot.jl:385 [inlined] include_string at ./loading.jl:2146 _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 _include at ./loading.jl:2206 _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_invoke at /source/src/gf.c:2902 include at ./Base.jl:495 unknown function (ip: 0x7e1da49e95c9) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] jl_f__call_latest at /source/src/builtins.c:812 include at /home/pkgeval/.julia/packages/SafeTestsets/raUNr/src/SafeTestsets.jl:28 unknown function (ip: 0x7e1da301cc35) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:635 eval_body at /source/src/interpreter.c:544 eval_body at /source/src/interpreter.c:544 jl_interpret_toplevel_thunk at /source/src/interpreter.c:775 jl_toplevel_eval_flex at /source/src/toplevel.c:934 jl_eval_module_expr at /source/src/toplevel.c:215 [inlined] jl_toplevel_eval_flex at /source/src/toplevel.c:736 ijl_toplevel_eval_in at /source/src/toplevel.c:985 eval at ./boot.jl:385 jfptr_eval_25772.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:635 jl_interpret_toplevel_thunk at /source/src/interpreter.c:775 jl_toplevel_eval_flex at /source/src/toplevel.c:934 jl_toplevel_eval_flex at /source/src/toplevel.c:877 ijl_toplevel_eval_in at /source/src/toplevel.c:985 eval at ./boot.jl:385 [inlined] include_string at ./loading.jl:2146 _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 _include at ./loading.jl:2206 include at ./client.jl:494 unknown function (ip: 0x7e1dc23ff125) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:635 jl_interpret_toplevel_thunk at /source/src/interpreter.c:775 jl_toplevel_eval_flex at /source/src/toplevel.c:934 jl_toplevel_eval_flex at /source/src/toplevel.c:877 ijl_toplevel_eval_in at /source/src/toplevel.c:985 eval at ./boot.jl:385 [inlined] exec_options at ./client.jl:296 _start at ./client.jl:557 jfptr__start_82985.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] true_main at /source/src/jlapi.c:582 jl_repl_entrypoint at /source/src/jlapi.c:731 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7e1dc324f249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== 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_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/epoll.c:236 uv_run at /workspace/srcdir/libuv/src/unix/core.c:400 ijl_task_get_next at /source/src/partr.c:478 poptask at ./task.jl:999 wait at ./task.jl:1008 #wait#645 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] wait at ./process.jl:661 jfptr_wait_74890.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 subprocess_handler at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:2048 #130 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1992 withenv at ./env.jl:257 #117 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1840 with_temp_env at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1721 #115 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1810 #mktempdir#24 at ./file.jl:766 unknown function (ip: 0x7db24d2da9e0) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 mktempdir at ./file.jl:762 mktempdir at ./file.jl:762 [inlined] #sandbox#114 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1768 sandbox at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1759 unknown function (ip: 0x7db24d2d32a5) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 #test#127 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1971 test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/Operations.jl:1915 [inlined] #test#146 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:444 test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:423 unknown function (ip: 0x7db24d2d2d90) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 #test#77 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:159 unknown function (ip: 0x7db24d2d2650) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:148 #test#75 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:147 [inlined] #test#74 at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 [inlined] test at /source/usr/share/julia/stdlib/v1.10/Pkg/src/API.jl:146 unknown function (ip: 0x7db24d2ced49) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] do_call at /source/src/interpreter.c:126 eval_value at /source/src/interpreter.c:223 eval_stmt_value at /source/src/interpreter.c:174 [inlined] eval_body at /source/src/interpreter.c:635 eval_body at /source/src/interpreter.c:544 eval_body at /source/src/interpreter.c:544 jl_interpret_toplevel_thunk at /source/src/interpreter.c:775 jl_toplevel_eval_flex at /source/src/toplevel.c:934 jl_toplevel_eval_flex at /source/src/toplevel.c:877 ijl_toplevel_eval_in at /source/src/toplevel.c:985 eval at ./boot.jl:385 [inlined] include_string at ./loading.jl:2146 _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 _include at ./loading.jl:2206 include at ./Base.jl:495 jfptr_include_46609.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 exec_options at ./client.jl:323 _start at ./client.jl:557 jfptr__start_82985.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] true_main at /source/src/jlapi.c:582 jl_repl_entrypoint at /source/src/jlapi.c:731 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7db24e0d9249) __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) unknown function (ip: (nil)) ============================================================== 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/v1.10/Profile/src/Profile.jl:1225 Overhead ╎ [+additional indent] Count File:Line; Function ========================================================= Thread 1 Task 0x00007db240a00010 Total snapshots: 1. Utilization: 0% ╎1 @Base/client.jl:557; _start() ╎ 1 @Base/client.jl:323; exec_options(opts::Base.JLOptions) ╎ 1 @Base/Base.jl:495; include(mod::Module, _path::String) ╎ 1 @Base/loading.jl:2206; _include(mapexpr::Function, mod::Module, _path::S… ╎ 1 @Base/loading.jl:2146; include_string(mapexpr::typeof(identity), mod::M… ╎ 1 @Base/boot.jl:385; eval ╎ ╎ 1 @Pkg/src/API.jl:146; kwcall(::@NamedTuple{julia_args::Cmd}, ::typeof(… ╎ ╎ 1 @Pkg/src/API.jl:146; #test#74 ╎ ╎ 1 @Pkg/src/API.jl:147; test ╎ ╎ 1 @Pkg/src/API.jl:147; #test#75 ╎ ╎ 1 @Pkg/src/API.jl:148; kwcall(::@NamedTuple{julia_args::Cmd}, ::typ… ╎ ╎ ╎ 1 @Pkg/src/API.jl:159; test(pkgs::Vector{Pkg.Types.PackageSpec}; i… ╎ ╎ ╎ 1 @Pkg/src/API.jl:423; kwcall(::@NamedTuple{julia_args::Cmd, io::… ╎ ╎ ╎ 1 @Pkg/src/API.jl:444; test(ctx::Pkg.Types.Context, pkgs::Vector… ╎ ╎ ╎ 1 …/src/Operations.jl:1915; test ╎ ╎ ╎ 1 …src/Operations.jl:1971; test(ctx::Pkg.Types.Context, pkgs::… ╎ ╎ ╎ ╎ 1 …src/Operations.jl:1759; kwcall(::@NamedTuple{preferences::… ╎ ╎ ╎ ╎ 1 …src/Operations.jl:1768; sandbox(fn::Function, ctx::Pkg.Ty… ╎ ╎ ╎ ╎ 1 @Base/file.jl:762; mktempdir ╎ ╎ ╎ ╎ 1 @Base/file.jl:762; mktempdir(fn::Function, parent::Strin… ╎ ╎ ╎ ╎ 1 @Base/file.jl:766; mktempdir(fn::Pkg.Operations.var"#11… ╎ ╎ ╎ ╎ ╎ 1 …c/Operations.jl:1810; (::Pkg.Operations.var"#115#120"… ╎ ╎ ╎ ╎ ╎ 1 …c/Operations.jl:1721; with_temp_env(fn::Pkg.Operatio… ╎ ╎ ╎ ╎ ╎ 1 …/Operations.jl:1840; (::Pkg.Operations.var"#117#122… ╎ ╎ ╎ ╎ ╎ 1 @Base/env.jl:257; withenv(::Pkg.Operations.var"#130… ╎ ╎ ╎ ╎ ╎ 1 …Operations.jl:1992; (::Pkg.Operations.var"#130#13… ╎ ╎ ╎ ╎ ╎ ╎ 1 …Operations.jl:2048; subprocess_handler(cmd::Cmd,… ╎ ╎ ╎ ╎ ╎ ╎ 1 …se/process.jl:661; wait(x::Base.Process) ╎ ╎ ╎ ╎ ╎ ╎ 1 …/condition.jl:125; wait ╎ ╎ ╎ ╎ ╎ ╎ 1 …condition.jl:130; wait(c::Base.GenericConditi… ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:1008; wait() ╎ ╎ ╎ ╎ ╎ ╎ ╎ 1 …ase/task.jl:999; poptask(W::Base.IntrusiveL… [1] signal (15): Terminated in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 epoll_wait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/epoll.c:236 uv_run at /workspace/srcdir/libuv/src/unix/core.c:400 ijl_task_get_next at /source/src/partr.c:478 [390] signal (15): Terminated in expression starting at /home/pkgeval/.julia/packages/GeometricMachineLearning/KFN5x/test/layers/volume_preserving_feedforward.jl:31 poptask at ./task.jl:999 wait at ./task.jl:1008 _ZNK4llvm14ilist_iteratorINS_12ilist_detail12node_optionsINS_11InstructionELb1ELb0EvEELb0ELb0EEdeEv at /opt/julia/bin/../lib/julia/libLLVM-15jl.so (unknown line) unknown function (ip: 0x1e6f2e57) unknown function (ip: (nil)) Allocations: 670372210 (Pool: 667222738; Big: 3149472); GC: 641 #wait#645 at ./condition.jl:130 wait at ./condition.jl:125 [inlined] _trywait at ./asyncevent.jl:142 wait at ./asyncevent.jl:159 [inlined] profile_printing_listener at ./Base.jl:572 #1056 at ./Base.jl:608 jfptr_YY.1056_85200.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:2876 [inlined] ijl_apply_generic at /source/src/gf.c:3077 jl_apply at /source/src/julia.h:1982 [inlined] start_task at /source/src/task.c:1256 unknown function (ip: (nil)) Allocations: 14057553 (Pool: 14024578; Big: 32975); GC: 15 PkgEval terminated after 2722.98s: test duration exceeded the time limit