Package evaluation to test EasyHybrid on Julia 1.14.0-DEV.2802 (918269a29b*) started at 2026-08-28T08:10:45.646 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Activating project at `~/.julia/environments/v1.14` Set-up completed after 13.72s ################################################################################ # Installation # Installing EasyHybrid... Resolving package versions... Updating `~/.julia/environments/v1.14/Project.toml` [61bb816a] + EasyHybrid v0.2.0 Updating `~/.julia/environments/v1.14/Manifest.toml` [47edcb42] + ADTypes v1.24.0 [da404889] + ARFFFiles v1.6.1 [621f4979] + AbstractFFTs v1.5.0 [1520ce14] + AbstractTrees v0.4.5 [7d9f7c33] + Accessors v0.1.45 [79e6a3ab] + Adapt v4.7.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.30.0 [a9b6321e] + Atomix v1.1.3 [94b1ba4f] + AxisKeys v0.2.17 [ab4f0b2a] + BFloat16s v0.6.1 [50ba71b6] + BitBasis v0.9.10 [179af706] + CFTime v0.2.10 [2a0fbf3d] + CPUSummary v0.2.7 [336ed68f] + CSV v0.10.17 [49dc2e85] + Calculus v0.5.2 [324d7699] + CategoricalArrays v1.1.1 [af321ab8] + CategoricalDistributions v0.2.2 [8be319e6] + Chain v1.0.0 [082447d4] + ChainRules v1.73.0 [d360d2e6] + ChainRulesCore v1.26.1 [0b6fb165] + ChunkCodecCore v1.0.2 [4c0bbee4] + ChunkCodecLibZlib v1.1.0 [55437552] + ChunkCodecLibZstd v1.0.0 [da1fd8a2] + CodeTracking v3.0.2 [944b1d66] + CodecZlib v0.7.9 [3da002f7] + ColorTypes v0.12.1 [861a8166] + Combinatorics v1.1.0 [1fbeeb36] + CommonDataModel v0.4.4 [38540f10] + CommonSolve v0.2.14 [bbf7d656] + CommonSubexpressions v0.3.1 [f70d9fcc] + CommonWorldInvalidations v1.2.0 [34da2185] + Compat v4.18.1 [b0b7db55] + ComponentArrays v0.15.47 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [2569d6c7] + ConcreteStructs v0.2.8 [88cd18e8] + ConsoleProgressMonitor v0.1.2 [187b0558] + ConstructionBase v1.6.0 [adafc99b] + CpuId v0.3.1 [a8cc5b0e] + Crayons v4.2.0 [9a962f9c] + DataAPI v1.16.0 [75880514] + DataFrameMacros v0.4.1 [a93c6f00] + DataFrames v1.8.2 [864edb3b] + DataStructures v0.19.6 [e2d170a0] + DataValueInterfaces v1.0.0 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.16.0 [a0c0ee7d] + DifferentiationInterface v0.7.21 [0703355e] + DimensionalData v0.30.2 [3c3547ce] + DiskArrays v0.4.22 [8d63f2c5] + DispatchDoctor v0.4.28 [b4f34e82] + Distances v0.10.12 [31c24e10] + Distributions v0.25.131 [ffbed154] + DocStringExtensions v0.9.5 [792122b4] + EarlyStopping v0.3.0 [61bb816a] + EasyHybrid v0.2.0 [4e289a0a] + EnumX v1.0.7 [f151be2c] + EnzymeCore v0.8.21 [e2ba6199] + ExprTools v0.1.11 [21656369] + ExpressionExplorer v1.1.5 [411431e0] + Extents v0.1.6 [9aa1b823] + FastClosures v0.3.2 [33837fe5] + FeatureSelection v0.2.6 [5789e2e9] + FileIO v1.20.0 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.17.0 [64ca27bc] + FindFirstFunctions v3.2.1 ⌅ [53c48c17] + FixedPointNumbers v0.8.6 [f6369f11] + ForwardDiff v1.4.5 [069b7b12] + FunctionWrappers v1.1.3 [77dc65aa] + FunctionWrappersWrappers v1.13.0 [d9f16b24] + Functors v0.5.3 [46192b85] + GPUArraysCore v0.2.0 [a0844989] + Gamma v1.2.0 [cd3eb016] + HTTP v2.6.5 [076d061b] + HashArrayMappedTries v0.2.0 [34004b35] + HypergeometricFunctions v0.3.30 [93e5fe13] + Hyperopt v0.5.6 [7869d1d1] + IRTools v0.4.20 [615f187c] + IfElse v0.1.1 [842dd82b] + InlineStrings v1.4.5 [85a1e053] + Interfaces v0.3.2 [8197267c] + IntervalSets v0.7.14 [3587e190] + InverseFunctions v0.1.17 [41ab1584] + InvertedIndices v1.3.1 [92d709cd] + IrrationalConstants v0.2.6 [b3c1a2ee] + IterationControl v0.5.4 [82899510] + IteratorInterfaceExtensions v1.0.0 [033835bb] + JLD2 v0.6.6 [692b3bcd] + JLLWrappers v1.8.0 [682c06a0] + JSON v1.7.1 [63c18a36] + KernelAbstractions v0.9.42 [8ac3fa9e] + LRUCache v1.6.2 [b964fa9f] + LaTeXStrings v1.4.1 [a5e1c1ea] + LatinHypercubeSampling v1.9.0 [92ad9a40] + LearnAPI v2.0.1 [1d6d02ad] + LeftChildRightSiblingTrees v0.3.0 [2ab3a3ac] + LogExpFunctions v1.0.1 [e6f89c97] + LoggingExtras v1.2.0 [b2108857] + Lux v1.31.4 [bb33d45b] + LuxCore v1.5.3 [82251201] + LuxLib v1.15.9 [c2834f40] + MLCore v1.1.0 [7e8f7934] + MLDataDevices v1.17.10 [add582a8] + MLJ v0.23.3 [45f359ea] + MLJBalancing v0.1.6 [a7f614a8] + MLJBase v1.14.1 [50ed68f4] + MLJEnsembles v0.4.5 [614be32b] + MLJIteration v0.6.5 [e80e1ace] + MLJModelInterface v1.12.1 [d491faf4] + MLJModels v0.18.9 [23777cdb] + MLJTransforms v0.1.7 [03970b2e] + MLJTuning v0.8.9 [b5d0f7f3] + MLJWrappers v0.1.3 [f1d291b0] + MLUtils v0.4.13 [3da0fdf6] + MPIPreferences v0.1.12 [1914dd2f] + MacroTools v0.5.16 [eff96d63] + Measurements v2.14.1 [e1d29d7a] + Missings v1.2.0 [77543b7f] + MultiKDE v0.1.1 [85f8d34a] + NCDatasets v0.14.15 [872c559c] + NNlib v0.9.44 [77ba4419] + NaNMath v1.1.4 [356022a1] + NamedDims v1.2.3 [6fe1bfb0] + OffsetArrays v1.17.0 [8b6db2d4] + OpenML v0.3.4 [3bd65402] + Optimisers v0.4.9 [7f7a1694] + Optimization v5.9.0 [bca83a33] + OptimizationBase v5.5.2 [42dfb2eb] + OptimizationOptimisers v0.3.23 [bac558e1] + OrderedCollections v2.0.1 [90014a1f] + PDMats v0.11.41 [d96e819e] + Parameters v0.13.1 ⌅ [69de0a69] + Parsers v2.8.7 [2dfb63ee] + PooledArrays v1.4.3 [d236fae5] + PreallocationTools v1.7.0 [aea7be01] + PrecompileTools v1.3.4 [21216c6a] + Preferences v1.5.2 [54e16d92] + PrettyPrinting v0.4.3 [08abe8d2] + PrettyTables v3.4.8 [33c8b6b6] + ProgressLogging v0.1.6 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.4.0 [1fd47b50] + QuadGK v2.11.3 [a3311ec8] + ReactantCore v0.1.21 [c1ae055f] + RealDot v0.1.0 [3cdcf5f2] + RecipesBase v1.3.4 [731186ca] + RecursiveArrayTools v4.5.1 [189a3867] + Reexport v1.2.2 [05181044] + RelocatableFolders v1.0.1 [ae029012] + Requires v1.3.1 [802f3686] + Reseau v1.4.1 [79098fc4] + Rmath v0.9.0 [f2b01f46] + Roots v3.0.7 [7e49a35a] + RuntimeGeneratedFunctions v0.5.25 [0bca4576] + SciMLBase v3.49.2 [a6db7da4] + SciMLLogging v2.1.0 [c0aeaf25] + SciMLOperators v1.30.0 [431bcebd] + SciMLPublic v1.3.0 [53ae85a6] + SciMLStructures v1.10.5 [321657f4] + ScientificTypes v3.3.0 [30f210dd] + ScientificTypesBase v3.1.0 [7e506255] + ScopedValues v1.6.2 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.10 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.6 [a2af1166] + SortingAlgorithms v1.2.3 [9f842d2f] + SparseConnectivityTracer v1.2.3 [dc90abb0] + SparseInverseSubset v0.1.3 [0a514795] + SparseMatrixColorings v0.4.27 [276daf66] + SpecialFunctions v2.9.0 [860ef19b] + StableRNGs v1.0.4 [aedffcd0] + Static v1.4.6 [0d7ed370] + StaticArrayInterface v1.10.0 [90137ffa] + StaticArrays v1.9.19 [1e83bf80] + StaticArraysCore v1.4.4 [a19d573c] + StatisticalMeasures v0.3.7 [c062fc1d] + StatisticalMeasuresBase v0.1.4 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.8.0 [2913bbd2] + StatsBase v0.34.13 [4c63d2b9] + StatsFuns v2.2.1 [69024149] + StringEncodings v0.3.7 [892a3eda] + StringManipulation v0.5.0 [09ab397b] + StructArrays v0.7.3 [ec057cc2] + StructUtils v2.8.5 [2efcf032] + SymbolicIndexingInterface v0.3.55 [ab02a1b2] + TableOperations v1.2.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.14.0 [5d786b92] + TerminalLoggers v0.1.8 [b189fb0b] + ThreadPools v2.1.1 [3bb67fe8] + TranscodingStreams v0.11.3 [5c2747f8] + URIs v1.7.0 [3a884ed6] + UnPack v1.0.2 [013be700] + UnsafeAtomics v0.3.2 [ea10d353] + WeakRefStrings v1.4.3 [d49dbf32] + WeightInitializers v1.3.4 [76eceee3] + WorkerUtilities v1.6.1 [ddb6d928] + YAML v0.4.16 [e88e6eb3] + Zygote v0.7.12 [700de1a5] + ZygoteRules v0.2.8 [0b7ba130] + Blosc_jll v1.21.7+0 [6e34b625] + Bzip2_jll v1.0.9+0 [0234f1f7] + HDF5_jll v2.2.1+0 [e33a78d0] + Hwloc_jll v2.14.0+0 [94ce4f54] + Libiconv_jll v1.18.0+0 [5ced341a] + Lz4_jll v1.10.1+0 [b5ada748] + MPIABI_jll v1.0.0+0 [7cb0a576] + MPICH_jll v5.0.1+0 [f1f71cc9] + MPItrampoline_jll v5.5.6+0 [9237b28f] + MicrosoftMPI_jll v10.1.4+3 [7243133f] + NetCDF_jll v401.1000.101+0 [fe0851c0] + OpenMPI_jll v5.0.11+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.2+0 ⌅ [02c8fc9c] + XML2_jll v2.13.9+0 [ffd25f8a] + XZ_jll v5.8.3+0 [a65dc6b1] + Xorg_libpciaccess_jll v0.19.0+0 ⌅ [2b3700d1] + aws_c_auth_jll v0.9.6+0 ⌃ [70f11efc] + aws_c_cal_jll v0.9.13+0 ⌅ [73048d1d] + aws_c_common_jll v0.12.6+0 ⌃ [73a04cd5] + aws_c_compression_jll v0.3.2+0 [3254fc65] + aws_c_http_jll v0.10.15+0 [13c41daa] + aws_c_io_jll v0.26.3+0 ⌅ [bd1f34fb] + aws_c_s3_jll v0.11.5+0 [1282aa60] + aws_c_sdkutils_jll v0.2.4+1 ⌃ [b2a88e68] + aws_checksums_jll v0.2.10+0 [c4b69c83] + dlfcn_win32_jll v1.4.2+0 [477f73a3] + libaec_jll v1.1.7+0 [337d8026] + libzip_jll v1.11.3+0 [9aeb927a] + mpif_jll v1.0.0+0 [cddc5d3d] + s2n_tls_jll v1.7.3+0 [0dad84c5] + ArgTools v1.2.0 [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 v1.13.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v1.0.0 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.14.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.14.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v1.13.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.13.0 [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 v1.5.7+0 [deac9b47] + LibCURL_jll v8.21.0+0 [e37daf67] + LibGit2_jll v1.9.6+0 [29816b5a] + LibSSH2_jll v1.11.103+0 [14a3606d] + MozillaCACerts_jll v2026.7.16 [4536629a] + OpenBLAS_jll v0.3.34+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.7+0 [efcefdf7] + PCRE2_jll v10.47.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.2+0 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.15.0+0 [8e850ede] + nghttp2_jll v1.69.0+0 [3f19e933] + p7zip_jll v17.8.0+0 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 12.95s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompiling project... 56.3 s ✓ EasyHybrid 18.5 s ✓ LuxLib → cuDNNExt 2 dependencies successfully precompiled in 83 seconds. 516 already precompiled. Precompilation completed after 122.73s ################################################################################ # Testing # Testing EasyHybrid Status `/tmp/jl_04tIRm/Project.toml` [94b1ba4f] AxisKeys v0.2.17 [052768ef] CUDA v6.3.0 [d360d2e6] ChainRulesCore v1.26.1 [b0b7db55] ComponentArrays v0.15.47 [a93c6f00] DataFrames v1.8.2 [0703355e] DimensionalData v0.30.2 [61bb816a] EasyHybrid v0.2.0 `~/.julia/packages/EasyHybrid/CF0Lr/` [f6369f11] ForwardDiff v1.4.5 [46192b85] GPUArraysCore v0.2.0 [b2108857] Lux v1.31.4 [dde4c033] Metal v1.10.3 [10745b16] Statistics v1.11.1 [e88e6eb3] Zygote v0.7.12 [02a925ec] cuDNN v6.3.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_04tIRm/Manifest.toml` [47edcb42] ADTypes v1.24.0 [da404889] ARFFFiles v1.6.1 [621f4979] AbstractFFTs v1.5.0 [1520ce14] AbstractTrees v0.4.5 [7d9f7c33] Accessors v0.1.45 [79e6a3ab] Adapt v4.7.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.30.0 [a9b6321e] Atomix v1.1.3 [94b1ba4f] AxisKeys v0.2.17 [ab4f0b2a] BFloat16s v0.6.1 [50ba71b6] BitBasis v0.9.10 [fa961155] CEnum v0.5.0 [179af706] CFTime v0.2.10 [2a0fbf3d] CPUSummary v0.2.7 [336ed68f] CSV v0.10.17 [052768ef] CUDA v6.3.0 [bd0ed864] CUDACore v6.3.0 [9ec180c6] CUDATools v6.3.0 [1af6417a] CUDA_Runtime_Discovery v2.1.0 [9e67e8f6] CUPTI v6.3.0 [49dc2e85] Calculus v0.5.2 [324d7699] CategoricalArrays v1.1.1 [af321ab8] CategoricalDistributions v0.2.2 [8be319e6] Chain v1.0.0 [082447d4] ChainRules v1.73.0 [d360d2e6] ChainRulesCore v1.26.1 [0b6fb165] ChunkCodecCore v1.0.2 [4c0bbee4] ChunkCodecLibZlib v1.1.0 [55437552] ChunkCodecLibZstd v1.0.0 [da1fd8a2] CodeTracking v3.0.2 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.9 [3da002f7] ColorTypes v0.12.1 [861a8166] Combinatorics v1.1.0 [1fbeeb36] CommonDataModel v0.4.4 [38540f10] CommonSolve v0.2.14 [bbf7d656] CommonSubexpressions v0.3.1 [f70d9fcc] CommonWorldInvalidations v1.2.0 [34da2185] Compat v4.18.1 [9db33cc3] CompilerCaching v0.4.2 [b0b7db55] ComponentArrays v0.15.47 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [2569d6c7] ConcreteStructs v0.2.8 [88cd18e8] ConsoleProgressMonitor v0.1.2 [187b0558] ConstructionBase v1.6.0 [adafc99b] CpuId v0.3.1 [a8cc5b0e] Crayons v4.2.0 [9a962f9c] DataAPI v1.16.0 [75880514] DataFrameMacros v0.4.1 [a93c6f00] DataFrames v1.8.2 [864edb3b] DataStructures v0.19.6 [e2d170a0] DataValueInterfaces v1.0.0 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.16.0 [a0c0ee7d] DifferentiationInterface v0.7.21 [0703355e] DimensionalData v0.30.2 [3c3547ce] DiskArrays v0.4.22 [8d63f2c5] DispatchDoctor v0.4.28 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.131 [ffbed154] DocStringExtensions v0.9.5 [792122b4] EarlyStopping v0.3.0 [61bb816a] EasyHybrid v0.2.0 `~/.julia/packages/EasyHybrid/CF0Lr/` [4e289a0a] EnumX v1.0.7 [f151be2c] EnzymeCore v0.8.21 [e2ba6199] ExprTools v0.1.11 [21656369] ExpressionExplorer v1.1.5 [411431e0] Extents v0.1.6 [9aa1b823] FastClosures v0.3.2 [33837fe5] FeatureSelection v0.2.6 [5789e2e9] FileIO v1.20.0 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.17.0 [64ca27bc] FindFirstFunctions v3.2.1 ⌅ [53c48c17] FixedPointNumbers v0.8.6 [f6369f11] ForwardDiff v1.4.5 [069b7b12] FunctionWrappers v1.1.3 [77dc65aa] FunctionWrappersWrappers v1.13.0 [d9f16b24] Functors v0.5.3 [0c68f7d7] GPUArrays v11.5.13 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v2.4.2 [096a3bc2] GPUToolbox v3.0.0 [a0844989] Gamma v1.2.0 [cd3eb016] HTTP v2.6.5 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.30 [93e5fe13] Hyperopt v0.5.6 [7869d1d1] IRTools v0.4.20 [615f187c] IfElse v0.1.1 [842dd82b] InlineStrings v1.4.5 [85a1e053] Interfaces v0.3.2 [8197267c] IntervalSets v0.7.14 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.6 [b3c1a2ee] IterationControl v0.5.4 [82899510] IteratorInterfaceExtensions v1.0.0 [033835bb] JLD2 v0.6.6 [692b3bcd] JLLWrappers v1.8.0 [682c06a0] JSON v1.7.1 [63c18a36] KernelAbstractions v0.9.42 [929cbde3] LLVM v9.13.1 [8b046642] LLVMLoopInfo v1.0.0 [8ac3fa9e] LRUCache v1.6.2 [b964fa9f] LaTeXStrings v1.4.1 [a5e1c1ea] LatinHypercubeSampling v1.9.0 [92ad9a40] LearnAPI v2.0.1 [1d6d02ad] LeftChildRightSiblingTrees v0.3.0 [2ab3a3ac] LogExpFunctions v1.0.1 [e6f89c97] LoggingExtras v1.2.0 [b2108857] Lux v1.31.4 [bb33d45b] LuxCore v1.5.3 [82251201] LuxLib v1.15.9 [c2834f40] MLCore v1.1.0 [7e8f7934] MLDataDevices v1.17.10 [add582a8] MLJ v0.23.3 [45f359ea] MLJBalancing v0.1.6 [a7f614a8] MLJBase v1.14.1 [50ed68f4] MLJEnsembles v0.4.5 [614be32b] MLJIteration v0.6.5 [e80e1ace] MLJModelInterface v1.12.1 [d491faf4] MLJModels v0.18.9 [23777cdb] MLJTransforms v0.1.7 [03970b2e] MLJTuning v0.8.9 [b5d0f7f3] MLJWrappers v0.1.3 [f1d291b0] MLUtils v0.4.13 [3da0fdf6] MPIPreferences v0.1.12 [1914dd2f] MacroTools v0.5.16 [eff96d63] Measurements v2.14.1 [dde4c033] Metal v1.10.3 [e1d29d7a] Missings v1.2.0 [77543b7f] MultiKDE 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v7.10.1+0 [83775a58] Zlib_jll v1.3.2+0 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.15.0+0 [8e850ede] nghttp2_jll v1.69.0+0 [3f19e933] p7zip_jll v17.8.0+0 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... Test Summary: | Pass Total Time GenericHybridModel - Basic Functions | 18 18 26.6s Test Summary: | Pass Total Time GenericHybridModel - Parameter Functions | 12 12 1.8s Test Summary: | Pass Total Time GenericHybridModel - SingleNNHybridModel | 35 35 20.5s Test Summary: | Pass Total Time GenericHybridModel - MultiNNHybridModel | 40 40 5.4s ┌ Warning: Note that you don't have predictors variables. └ @ EasyHybrid ~/.julia/packages/EasyHybrid/CF0Lr/src/data/prepare_data.jl:106 Test Summary: | Pass Total Time GenericHybridModel - Edge Cases | 14 14 3.6s Test Summary: | Pass Total Time GenericHybridModel - Error Handling | 1 1 0.8s ┌ Warning: No functional GPU backend found! Defaulting to CPU. │ │ 1. If no GPU is available, nothing needs to be done. Set `MLDATADEVICES_SILENCE_WARN_NO_GPU=1` to silence this warning. │ 2. If GPU is available, load the corresponding trigger package. │ a. `CUDA.jl` and `cuDNN.jl` (or just `LuxCUDA.jl`) for NVIDIA CUDA Support. │ b. `AMDGPU.jl` for AMD GPU ROCM Support. │ c. `Metal.jl` for Apple Metal GPU Support. (Experimental) │ d. `oneAPI.jl` for Intel oneAPI GPU Support. (Experimental) │ e. `OpenCL.jl` for OpenCL support. (Experimental) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/33vyp/src/internal.jl:114 ┌ Warning: Makie extension not loaded, no plots will be generated. └ @ EasyHybrid ~/.julia/packages/EasyHybrid/CF0Lr/src/training/initialization.jl:5 [ Info: Training outputs will be saved to: /tmp/jl_04tIRm/output_tmp Internal error: during type inference of _pullback(Zygote.Context{false}, typeof(ZygoteRules.literal_getproperty), Lux.Training.TrainState{Nothing, Nothing, Nothing, EasyHybrid.SingleNNHybridModel, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(ps=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1185), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}()), Q10=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1186, stop=1186), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}}, NamedTuple{(:st_nn, :fixed), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), NTuple{4, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Optimisers.Leaf{Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Tuple{Array{Float32, 1}, Array{Float32, 1}, Tuple{Float32, Float32}}}}, Base.Val{:model}) Encountered unexpected error in runtime: TypeError(func=:typeassert, context="", expected=Union{Nothing, Array{Any, 1}, Core.SimpleVector}, got=Array{Core.MethodInstance, 1}(dims=(4,), mem=Memory{Core.MethodInstance}(4, 0x756aead017e0)[ MethodInstance _pullback(Zygote.Context{false}, typeof(ZygoteRules.literal_getfield), Lux.Training.TrainState{Nothing, Nothing, Nothing, EasyHybrid.SingleNNHybridModel, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(ps=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1185), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}()), Q10=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1186, stop=1186), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}}, NamedTuple{(:st_nn, :fixed), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), NTuple{4, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Optimisers.Leaf{Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Tuple{Array{Float32, 1}, Array{Float32, 1}, Tuple{Float32, Float32}}}}, Base.Val{:model}) from _pullback(ZygoteRules.AContext, typeof(ZygoteRules.literal_getfield), Any, Base.Val{f}) where {f}, MethodInstance _pullback(Zygote.Context{false}, typeof(Base.getproperty), Lux.Training.TrainState{Nothing, Nothing, Nothing, EasyHybrid.SingleNNHybridModel, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(ps=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1185), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}()), Q10=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1186, stop=1186), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}}, NamedTuple{(:st_nn, :fixed), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), NTuple{4, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Optimisers.Leaf{Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Tuple{Array{Float32, 1}, Array{Float32, 1}, Tuple{Float32, Float32}}}}, Symbol) from _pullback(ZygoteRules.AContext, Any, Any...), MethodInstance getproperty(Lux.Training.TrainState{Nothing, Nothing, Nothing, EasyHybrid.SingleNNHybridModel, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(ps=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1185), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}()), Q10=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1186, stop=1186), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}}, NamedTuple{(:st_nn, :fixed), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), NTuple{4, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Optimisers.Leaf{Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Tuple{Array{Float32, 1}, Array{Float32, 1}, Tuple{Float32, Float32}}}}, Symbol) from getproperty(Any, Symbol), MethodInstance rrule(typeof(Base.getproperty), Lux.Training.TrainState{Nothing, Nothing, Nothing, EasyHybrid.SingleNNHybridModel, ComponentArrays.ComponentArray{Float32, 1, Array{Float32, 1}, Tuple{ComponentArrays.Axis{(ps=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1185), (layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}())), ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}}(ax=ComponentArrays.Axis{(layer_1=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=0), nothing, ComponentArrays.Shaped1DAxis{(0,)}}(ax=ComponentArrays.Shaped1DAxis{(0,)}()), layer_2=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=96), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=64), nothing, ComponentArrays.ShapedAxis{(32, 2)}}(ax=ComponentArrays.ShapedAxis{(32, 2)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=65, stop=96), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_3=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=97, stop=1152), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=1024), nothing, ComponentArrays.ShapedAxis{(32, 32)}}(ax=ComponentArrays.ShapedAxis{(32, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1025, stop=1056), nothing, ComponentArrays.Shaped1DAxis{(32,)}}(ax=ComponentArrays.Shaped1DAxis{(32,)}()))}()), layer_4=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1153, stop=1185), (weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}())), ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}(ax=ComponentArrays.Axis{(weight=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1, stop=32), nothing, ComponentArrays.ShapedAxis{(1, 32)}}(ax=ComponentArrays.ShapedAxis{(1, 32)}()), bias=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=33, stop=33), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}()))}()), Q10=ComponentArrays.ViewAxis{Base.UnitRange{Int64}(start=1186, stop=1186), nothing, ComponentArrays.Shaped1DAxis{(1,)}}(ax=ComponentArrays.Shaped1DAxis{(1,)}()))}}}, NamedTuple{(:st_nn, :fixed), Tuple{NamedTuple{(:layer_1, :layer_2, :layer_3, :layer_4), NTuple{4, NamedTuple{(), Tuple{}}}}, NamedTuple{(), Tuple{}}}}, Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Optimisers.Leaf{Optimisers.Adam{Float64, Tuple{Float64, Float64}, Float64}, Tuple{Array{Float32, 1}, Array{Float32, 1}, Tuple{Float32, Float32}}}}, Symbol) from rrule(Any, Any...)])) ijl_type_error_rt at /source/src/rtutils.c:121:5 ijl_type_error at /source/src/rtutils.c:140:5 compute_edges! at ./../usr/share/julia/Compiler/src/typeinfer.jl:826:0 (pc: 55) finishinfer! at ./../usr/share/julia/Compiler/src/typeinfer.jl:670:0 (pc: 197) finish_nocycle at ./../usr/share/julia/Compiler/src/typeinfer.jl:269:0 (pc: 4) jfptr_finish_nocycle_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 typeinf at ./../usr/share/julia/Compiler/src/abstractinterpretation.jl:5004:0 (pc: 252) typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1539:0 (pc: 156) typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1769:0 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1778:0 (pc: 16) jfptr_typeinf_ext_toplevel_5.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] jl_type_infer at /source/src/gf.c:479:35 jl_compile_method_very_internal at /source/src/gf.c:4064:20 _jl_invoke at /source/src/gf.c:4564:16 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 #2 at /home/pkgeval/.julia/packages/Lux/ZSmgp/ext/ZygoteExt/training.jl:8:0 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/XLIVf/src/compiler/interface2.jl:0:0 (pc: 57) unknown function (ip: 0x756b16798fd4) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 pullback at /home/pkgeval/.julia/packages/Zygote/XLIVf/src/compiler/interface.jl:99:0 (pc: 2) pullback at /home/pkgeval/.julia/packages/Zygote/XLIVf/src/compiler/interface.jl:97:0 (pc: 3) unknown function (ip: 0x756b16ba2306) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 compute_gradients_impl at /home/pkgeval/.julia/packages/Lux/ZSmgp/ext/ZygoteExt/training.jl:7:0 (pc: 6) compute_gradients_impl_with_allocator_cache at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:332:0 [inlined] #compute_gradients#1 at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:322:0 [inlined] compute_gradients at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:320:0 [inlined] single_train_step_impl! at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:518:0 (pc: 10) single_train_step_impl_with_allocator_cache! at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:509:0 [inlined] #single_train_step!#9 at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:469:0 [inlined] single_train_step! at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:465:0 (pc: 10) unknown function (ip: 0x756b16ba094d) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 run_epoch! at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/epoch.jl:20:0 (pc: 110) unknown function (ip: 0x756b16b253c2) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 #_train##0 at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:119:0 (pc: 39) record_or_run at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/dashboard.jl:85:0 (pc: 2) unknown function (ip: 0x756b16b20631) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 _train at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:117:0 (pc: 178) _train at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:153:0 (pc: 14) unknown function (ip: 0x756b172d7481) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 #train#252 at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:236:0 (pc: 5) train at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:234:0 [inlined] trainshort at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:69:0 [inlined] trainshort at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:69:0 (pc: 6) unknown function (ip: 0x756b172c505f) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_body at /source/src/interpreter.c:648:35 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 macro expansion at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:78:0 (pc: 20) [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 (pc: 35) [inlined] macro expansion at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:60:0 (pc: 41) [inlined] macro expansion at /source/usr/share/julia/stdlib/v1.14/Test/src/Test.jl:2246:0 (pc: 56) [inlined] top-level scope at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:51:0 (pc: 444) ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:330:0 (pc: 1) IncludeInto at ./Base.jl:331:0 (pc: 2) unknown function (ip: 0x756b3b756142) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 top-level scope at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/runtests.jl:7:0 (pc: 2) ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:330:0 (pc: 1) IncludeInto at ./Base.jl:331:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 top-level scope at none:6:0 (pc: 2) ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) __script_entry_eval at ./client.jl:106:0 [inlined] exec_options at ./client.jl:344:0 (pc: 426) _start at ./client.jl:619:0 (pc: 295) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] true_main at /source/src/jlapi.c:989:29 jl_repl_entrypoint at /source/src/jlapi.c:1156:15 main at /source/cli/loader_exe.c:117:15 unknown function (ip: 0x756b9a5fc249) 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 [338] signal 6 (-6): Aborted in expression starting at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:50 unknown function (ip: 0x756b9a65febc) at /lib/x86_64-linux-gnu/libc.so.6 gsignal at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) abort at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) jl_type_infer at /source/src/gf.c:498:9 jl_compile_method_very_internal at /source/src/gf.c:4064:20 _jl_invoke at /source/src/gf.c:4564:16 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 #2 at /home/pkgeval/.julia/packages/Lux/ZSmgp/ext/ZygoteExt/training.jl:8:0 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/XLIVf/src/compiler/interface2.jl:0:0 (pc: 57) unknown function (ip: 0x756b16798fd4) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 pullback at /home/pkgeval/.julia/packages/Zygote/XLIVf/src/compiler/interface.jl:99:0 (pc: 2) pullback at /home/pkgeval/.julia/packages/Zygote/XLIVf/src/compiler/interface.jl:97:0 (pc: 3) unknown function (ip: 0x756b16ba2306) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 compute_gradients_impl at /home/pkgeval/.julia/packages/Lux/ZSmgp/ext/ZygoteExt/training.jl:7:0 (pc: 6) compute_gradients_impl_with_allocator_cache at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:332:0 [inlined] #compute_gradients#1 at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:322:0 [inlined] compute_gradients at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:320:0 [inlined] single_train_step_impl! at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:518:0 (pc: 10) single_train_step_impl_with_allocator_cache! at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:509:0 [inlined] #single_train_step!#9 at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:469:0 [inlined] single_train_step! at /home/pkgeval/.julia/packages/Lux/ZSmgp/src/helpers/training.jl:465:0 (pc: 10) unknown function (ip: 0x756b16ba094d) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 run_epoch! at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/epoch.jl:20:0 (pc: 110) unknown function (ip: 0x756b16b253c2) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 #_train##0 at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:119:0 (pc: 39) record_or_run at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/dashboard.jl:85:0 (pc: 2) unknown function (ip: 0x756b16b20631) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 _train at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:117:0 (pc: 178) _train at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:153:0 (pc: 14) unknown function (ip: 0x756b172d7481) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 #train#252 at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:236:0 (pc: 5) train at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/src/training/train.jl:234:0 [inlined] trainshort at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:69:0 [inlined] trainshort at /home/pkgeval/.julia/packages/EasyHybrid/CF0Lr/test/test_split_data_train.jl:69:0 (pc: 6) unknown function (ip: 0x756b172c505f) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_body at /source/src/interpreter.c:648:35 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:617:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 eval_body at /source/src/interpreter.c:625:21 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:330:0 (pc: 1) IncludeInto at ./Base.jl:331:0 (pc: 2) unknown function (ip: 0x756b3b756142) at (unknown file) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) include_string at ./loading.jl:3186:0 (pc: 208) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 _include at ./loading.jl:3248:0 (pc: 123) include at ./Base.jl:330:0 (pc: 1) IncludeInto at ./Base.jl:331:0 (pc: 2) jfptr_IncludeInto_1.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] do_call at /source/src/interpreter.c:123:26 eval_value at /source/src/interpreter.c:259:16 eval_stmt_value at /source/src/interpreter.c:194:23 [inlined] eval_body at /source/src/interpreter.c:760:13 jl_interpret_toplevel_thunk at /source/src/interpreter.c:962:21 ijl_eval_thunk at /source/src/toplevel.c:767:18 jl_toplevel_eval_flex at /source/src/toplevel.c:711:26 jl_eval_toplevel_stmts at /source/src/toplevel.c:601:15 jl_toplevel_eval_flex at /source/src/toplevel.c:683:27 ijl_toplevel_eval at /source/src/toplevel.c:781:12 ijl_toplevel_eval_in at /source/src/toplevel.c:826:13 eval at ./boot.jl:545:0 (pc: 1) __script_entry_eval at ./client.jl:106:0 [inlined] exec_options at ./client.jl:344:0 (pc: 426) _start at ./client.jl:619:0 (pc: 295) jfptr__start_0.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4572:23 [inlined] ijl_apply_generic at /source/src/gf.c:4820:12 jl_apply at /source/src/julia.h:2512:12 [inlined] true_main at /source/src/jlapi.c:989:29 jl_repl_entrypoint at /source/src/jlapi.c:1156:15 main at /source/cli/loader_exe.c:117:15 unknown function (ip: 0x756b9a5fc249) 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 Allocations: 97886958 (Pool: 97886023; Big: 935); GC: 40 Testing failed after 360.46s ERROR: LoadError: Package EasyHybrid errored during testing (received signal: 6) Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.14/Pkg/src/Operations.jl:3247 [3] test(ctx::Pkg.Types.Context, pkgs::Vector{PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:587 [4] test(pkgs::Vector{PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:172 [5] test(pkgs::Vector{String}; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:160 [6] test(pkg::String; kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.14/Pkg/src/API.jl:159 [inlined] [7] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:223 in expression starting at /PkgEval.jl/scripts/evaluate.jl:214 PkgEval crashed after 567.91s: an internal error was encountered