Package evaluation of JointEnergyModels on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T20:54:47.264 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.12s ################################################################################ # Installation # Installing JointEnergyModels... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [48c56d24] + JointEnergyModels v0.1.7 Updating `~/.julia/environments/v1.11/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.1 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 [fa961155] + CEnum v0.5.0 [324d7699] + CategoricalArrays v0.10.8 [082447d4] + ChainRules v1.72.3 [d360d2e6] + ChainRulesCore v1.25.1 ⌅ [3da002f7] + ColorTypes v0.11.5 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [187b0558] + ConstructionBase v1.5.8 [6add18c4] + ContextVariablesX v0.1.3 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.4 [f446124b] + EnergySamplers v1.0.3 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [1a297f60] + FillArrays v1.13.0 [53c48c17] + FixedPointNumbers v0.8.5 ⌅ [587475ba] + Flux v0.14.25 [f6369f11] + ForwardDiff v1.0.1 ⌅ [d9f16b24] + Functors v0.4.12 [0c68f7d7] + GPUArrays v11.2.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.28 [7869d1d1] + IRTools v0.4.14 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.5.12 [692b3bcd] + JLLWrappers v1.7.0 [48c56d24] + JointEnergyModels v0.1.7 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.34 [929cbde3] + LLVM v9.2.0 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 ⌃ [7e8f7934] + MLDataDevices v1.5.3 ⌅ [094fc8d1] + MLJFlux v0.5.1 [e80e1ace] + MLJModelInterface v1.11.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.15 [dbeba491] + Metalhead v0.9.5 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.30 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.7 ⌅ [3bd65402] + Optimisers v0.3.4 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.33 [570af359] + PartialFunctions v1.2.0 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.4 [92933f4c] + ProgressMeter v1.10.4 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.3.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.4 [a2af1166] + SortingAlgorithms v1.2.1 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.0 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.13 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.4.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.4.0 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [10284c91] + TaijaBase v1.2.3 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.84 [013be700] + UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] + Zygote v0.6.76 [700de1a5] + ZygoteRules v0.2.7 [dad2f222] + LLVMExtra_jll v0.0.35+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.6.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.2.0 [44cfe95a] + Pkg v1.11.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] + LibCURL_jll v8.6.0+0 [e37daf67] + LibGit2_jll v1.7.2+0 [29816b5a] + LibSSH2_jll v1.11.0+1 [c8ffd9c3] + MbedTLS_jll v2.28.6+0 [14a3606d] + MozillaCACerts_jll v2023.12.12 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 [8e850ede] + nghttp2_jll v1.59.0+0 [3f19e933] + p7zip_jll v17.4.0+2 Info Packages marked with ⌃ 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 5.76s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 400.72s ################################################################################ # Testing # Testing JointEnergyModels ┌ Warning: Could not use exact versions of packages in manifest, re-resolving └ @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:1920 Status `/tmp/jl_4kCapP/Project.toml` [4c88cf16] Aqua v0.8.11 [5224ae11] CompatHelperLocal v0.1.27 [31c24e10] Distributions v0.25.118 ⌅ [587475ba] Flux v0.14.25 [48c56d24] JointEnergyModels v0.1.7 [a7f614a8] MLJBase v1.8.1 ⌅ [094fc8d1] MLJFlux v0.5.1 [8dfed614] Test v1.11.0 Status `/tmp/jl_4kCapP/Manifest.toml` [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4c88cf16] Aqua v0.8.11 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [fa961155] CEnum v0.5.0 [324d7699] CategoricalArrays v0.10.8 [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.3 [d360d2e6] ChainRulesCore v1.25.1 ⌅ [3da002f7] ColorTypes v0.11.5 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [5224ae11] CompatHelperLocal v0.1.27 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.5.8 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [f446124b] EnergySamplers v1.0.3 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [1a297f60] FillArrays v1.13.0 [53c48c17] FixedPointNumbers v0.8.5 ⌅ [587475ba] Flux v0.14.25 [f6369f11] ForwardDiff v1.0.1 ⌅ [d9f16b24] Functors v0.4.12 [0c68f7d7] GPUArrays v11.2.2 [46192b85] GPUArraysCore v0.2.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.14 [22cec73e] InitialValues v0.3.1 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.5.12 [692b3bcd] JLLWrappers v1.7.0 [48c56d24] JointEnergyModels v0.1.7 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.34 [929cbde3] LLVM v9.2.0 [b964fa9f] LaTeXStrings v1.4.0 [92ad9a40] LearnAPI v1.0.1 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 ⌃ [7e8f7934] MLDataDevices v1.5.3 [a7f614a8] MLJBase v1.8.1 ⌅ [094fc8d1] MLJFlux v0.5.1 [e80e1ace] MLJModelInterface v1.11.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.15 [dbeba491] Metalhead v0.9.5 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.30 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [0b1bfda6] OneHotArrays v0.2.7 ⌅ [3bd65402] Optimisers v0.3.4 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 [d96e819e] Parameters v0.12.3 [570af359] PartialFunctions v1.2.0 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [8162dcfd] PrettyPrint v0.2.0 [08abe8d2] PrettyTables v2.4.0 [33c8b6b6] ProgressLogging v0.1.4 [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 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.0 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.3.0 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.4 [a2af1166] SortingAlgorithms v1.2.1 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.0 [171d559e] SplittablesBase v0.1.15 [90137ffa] StaticArrays v1.9.13 [1e83bf80] StaticArraysCore v1.4.3 [c062fc1d] StatisticalMeasuresBase v0.1.2 [64bff920] StatisticalTraits v3.4.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.4.0 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [10284c91] TaijaBase v1.2.3 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.84 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 ⌅ [e88e6eb3] Zygote v0.6.76 [700de1a5] ZygoteRules v0.2.7 [dad2f222] LLVMExtra_jll v0.0.35+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. Testing Running tests... [ Info: Training machine(JointEnergyClassifier(builder = MLP(hidden = (32, 32, 32), …), …), …). Optimising neural net: 2%[> ] ETA: 3:31:36 Optimising neural net: 3%[> ] ETA: 2:20:54 Optimising neural net: 4%[=> ] ETA: 1:45:05 Optimising neural net: 5%[=> ] ETA: 1:23:33 Optimising neural net: 6%[=> ] ETA: 1:09:12 Optimising neural net: 7%[=> ] ETA: 0:58:56 Optimising neural net: 8%[==> ] ETA: 0:51:13 Optimising neural net: 9%[==> ] ETA: 0:45:13 Optimising neural net: 10%[==> ] ETA: 0:40:25 Optimising neural net: 11%[==> ] ETA: 0:36:30 Optimising neural net: 12%[===> ] ETA: 0:33:13 Optimising neural net: 13%[===> ] ETA: 0:30:27 Optimising neural net: 14%[===> ] ETA: 0:28:04 Optimising neural net: 15%[===> ] ETA: 0:26:00 Optimising neural net: 16%[====> ] ETA: 0:24:11 Optimising neural net: 17%[====> ] ETA: 0:22:35 Optimising neural net: 18%[====> ] ETA: 0:21:09 Optimising neural net: 19%[====> ] ETA: 0:19:52 Optimising neural net: 20%[=====> ] ETA: 0:18:43 Optimising neural net: 21%[=====> ] ETA: 0:17:41 [ Info: Training losses/accuracy in epoch 20: Classification: 0.0010303735211491586 Generative: -0.005659166753292083 Regularisation: 0.005771961390972137 Total: -0.004842492585256695 Accuracy: 0.9810000000000001 Optimising neural net: 22%[=====> ] ETA: 0:16:44 Optimising neural net: 23%[=====> ] ETA: 0:15:52 Optimising neural net: 24%[======> ] ETA: 0:15:04 Optimising neural net: 25%[======> ] ETA: 0:14:19 Optimising neural net: 26%[======> ] ETA: 0:13:39 Optimising neural net: 27%[======> ] ETA: 0:13:01 Optimising neural net: 28%[=======> ] ETA: 0:12:25 Optimising neural net: 29%[=======> ] ETA: 0:11:52 Optimising neural net: 30%[=======> ] ETA: 0:11:22 Optimising neural net: 31%[=======> ] ETA: 0:10:53 Optimising neural net: 32%[========> ] ETA: 0:10:26 Optimising neural net: 33%[========> ] ETA: 0:10:00 Optimising neural net: 34%[========> ] ETA: 0:09:36 Optimising neural net: 35%[========> ] ETA: 0:09:13 Optimising neural net: 36%[=========> ] ETA: 0:08:51 Optimising neural net: 37%[=========> ] ETA: 0:08:31 Optimising neural net: 38%[=========> ] ETA: 0:08:11 Optimising neural net: 39%[=========> ] ETA: 0:07:52 Optimising neural net: 40%[==========> ] ETA: 0:07:35 Optimising neural net: 41%[==========> ] ETA: 0:07:18 [ Info: Training losses/accuracy in epoch 40: Classification: 0.0005427898131310939 Generative: -0.007523449957370758 Regularisation: 0.00987592053413391 Total: -0.006333577317744493 Accuracy: 0.9889999999999999 Optimising neural net: 42%[==========> ] ETA: 0:07:02 Optimising neural net: 43%[==========> ] ETA: 0:06:46 Optimising neural net: 44%[===========> ] ETA: 0:06:32 Optimising neural net: 45%[===========> ] ETA: 0:06:17 Optimising neural net: 46%[===========> ] ETA: 0:06:04 Optimising neural net: 47%[===========> ] ETA: 0:05:51 Optimising neural net: 48%[============> ] ETA: 0:05:38 Optimising neural net: 49%[============> ] ETA: 0:05:26 Optimising neural net: 50%[============> ] ETA: 0:05:14 Optimising neural net: 51%[============> ] ETA: 0:05:03 Optimising neural net: 52%[=============> ] ETA: 0:04:52 Optimising neural net: 53%[=============> ] ETA: 0:04:42 Optimising neural net: 54%[=============> ] ETA: 0:04:32 Optimising neural net: 55%[=============> ] ETA: 0:04:22 Optimising neural net: 56%[==============> ] ETA: 0:04:12 Optimising neural net: 57%[==============> ] ETA: 0:04:03 Optimising neural net: 58%[==============> ] ETA: 0:03:54 Optimising neural net: 59%[==============> ] ETA: 0:03:46 Optimising neural net: 60%[===============> ] ETA: 0:03:37 Optimising neural net: 61%[===============> ] ETA: 0:03:29 [ Info: Training losses/accuracy in epoch 60: Classification: 0.00044414369761943816 Generative: -0.010670154109597206 Regularisation: 0.10264308086037635 Total: -0.0017922806739807124 Accuracy: 0.9884999999999999 Optimising neural net: 62%[===============> ] ETA: 0:03:21 Optimising neural net: 63%[===============> ] ETA: 0:03:13 Optimising neural net: 64%[================> ] ETA: 0:03:06 Optimising neural net: 65%[================> ] ETA: 0:02:58 Optimising neural net: 66%[================> ] ETA: 0:02:51 Optimising neural net: 67%[================> ] ETA: 0:02:44 Optimising neural net: 68%[=================> ] ETA: 0:02:37 Optimising neural net: 69%[=================> ] ETA: 0:02:31 Optimising neural net: 70%[=================> ] ETA: 0:02:24 Optimising neural net: 71%[=================> ] ETA: 0:02:17 Optimising neural net: 72%[==================> ] ETA: 0:02:11 Optimising neural net: 73%[==================> ] ETA: 0:02:05 Optimising neural net: 74%[==================> ] ETA: 0:01:59 Optimising neural net: 75%[==================> ] ETA: 0:01:53 Optimising neural net: 76%[===================> ] ETA: 0:01:48 Optimising neural net: 77%[===================> ] ETA: 0:01:42 Optimising neural net: 78%[===================> ] ETA: 0:01:37 Optimising neural net: 79%[===================> ] ETA: 0:01:31 Optimising neural net: 80%[====================> ] ETA: 0:01:26 Optimising neural net: 81%[====================> ] ETA: 0:01:21 [ Info: Training losses/accuracy in epoch 80: Classification: 0.00040234969928860665 Generative: -0.006957570463418961 Regularisation: 0.013328269541263581 Total: -0.007864487539976836 Accuracy: 0.9915 Optimising neural net: 82%[====================> ] ETA: 0:01:16 Optimising neural net: 83%[====================> ] ETA: 0:01:11 Optimising neural net: 84%[=====================> ] ETA: 0:01:06 Optimising neural net: 85%[=====================> ] ETA: 0:01:01 Optimising neural net: 86%[=====================> ] ETA: 0:00:57 Optimising neural net: 87%[=====================> ] ETA: 0:00:52 Optimising neural net: 88%[======================> ] ETA: 0:00:48 Optimising neural net: 89%[======================> ] ETA: 0:00:43 Optimising neural net: 90%[======================> ] ETA: 0:00:39 Optimising neural net: 91%[======================> ] ETA: 0:00:35 Optimising neural net: 92%[=======================> ] ETA: 0:00:31 Optimising neural net: 93%[=======================> ] ETA: 0:00:27 Optimising neural net: 94%[=======================> ] ETA: 0:00:23 Optimising neural net: 95%[=======================> ] ETA: 0:00:19 Optimising neural net: 96%[========================>] ETA: 0:00:15 Optimising neural net: 97%[========================>] ETA: 0:00:11 Optimising neural net: 98%[========================>] ETA: 0:00:07 Optimising neural net: 99%[========================>] ETA: 0:00:04 Optimising neural net: 100%[=========================] Time: 0:06:00 [ Info: Training losses/accuracy in epoch 100: Classification: 0.0002908050771802664 Generative: -0.005945959806442261 Regularisation: 0.007014638565480709 Total: -0.0027698185391724114 Accuracy: 0.9949999999999999 Test Summary: | Pass Total Time JointEnergyModels.jl | 14 14 8m39.1s Testing JointEnergyModels tests passed Testing completed after 551.43s PkgEval succeeded after 991.92s