Package evaluation of MLJFlux on Julia 1.13.0-DEV.1125 (fd1c6fd302*) started at 2025-09-16T09:33:10.269 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.79s ################################################################################ # Installation # Installing MLJFlux... Resolving package versions... Updating `~/.julia/environments/v1.13/Project.toml` [094fc8d1] + MLJFlux v0.6.6 Updating `~/.julia/environments/v1.13/Manifest.toml` [621f4979] + AbstractFFTs v1.5.0 [7d9f7c33] + Accessors v0.1.42 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [dce04be8] + ArgCheck v2.5.0 [a9b6321e] + Atomix v1.1.2 [fbb218c0] + BSON v0.3.9 [198e06fe] + BangBang v0.4.4 [9718e550] + Baselet v0.1.1 ⌅ [324d7699] + CategoricalArrays v0.10.8 [082447d4] + ChainRules v1.72.5 [d360d2e6] + ChainRulesCore v1.26.0 [3da002f7] + ColorTypes v0.12.1 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.18.0 [a33af91c] + CompositionsBase v0.1.2 [ed09eef8] + ComputationalResources v0.3.2 [187b0558] + ConstructionBase v1.6.0 [6add18c4] + ContextVariablesX v0.1.3 [9a962f9c] + DataAPI v1.16.0 [864edb3b] + DataStructures v0.19.1 [e2d170a0] + DataValueInterfaces v1.0.0 [244e2a9f] + DefineSingletons v0.1.2 [8bb1440f] + DelimitedFiles v1.9.1 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [ffbed154] + DocStringExtensions v0.9.5 [f151be2c] + EnzymeCore v0.8.13 [cc61a311] + FLoops v0.2.2 [b9860ae5] + FLoopsBase v0.1.1 [5789e2e9] + FileIO v1.17.0 [1a297f60] + FillArrays v1.14.0 [53c48c17] + FixedPointNumbers v0.8.5 [587475ba] + Flux v0.16.5 [f6369f11] + ForwardDiff v1.2.1 [d9f16b24] + Functors v0.5.2 [46192b85] + GPUArraysCore v0.2.0 [076d061b] + HashArrayMappedTries v0.2.0 [7869d1d1] + IRTools v0.4.15 [22cec73e] + InitialValues v0.3.1 [3587e190] + InverseFunctions v0.1.17 [92d709cd] + IrrationalConstants v0.2.4 [82899510] + IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] + JLD2 v0.5.15 [692b3bcd] + JLLWrappers v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.38 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 [7e8f7934] + MLDataDevices v1.12.0 [094fc8d1] + MLJFlux v0.6.6 [e80e1ace] + MLJModelInterface v1.12.0 [d8e11817] + MLStyle v0.4.17 [f1d291b0] + MLUtils v0.4.8 [1914dd2f] + MacroTools v0.5.16 [dbeba491] + Metalhead v0.9.5 [128add7d] + MicroCollections v0.2.0 [e1d29d7a] + Missings v1.2.0 [872c559c] + NNlib v0.9.31 [77ba4419] + NaNMath v1.1.3 [71a1bf82] + NameResolution v0.1.5 [0b1bfda6] + OneHotArrays v0.2.10 [3bd65402] + Optimisers v0.4.6 [bac558e1] + OrderedCollections v1.8.1 [570af359] + PartialFunctions v1.2.1 [aea7be01] + PrecompileTools v1.3.3 [21216c6a] + Preferences v1.5.0 [8162dcfd] + PrettyPrint v0.2.0 [33c8b6b6] + ProgressLogging v0.1.5 [92933f4c] + ProgressMeter v1.11.0 [43287f4e] + PtrArrays v1.3.0 [c1ae055f] + RealDot v0.1.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [30f210dd] + ScientificTypesBase v3.0.0 [7e506255] + ScopedValues v1.5.0 [efcf1570] + Setfield v1.1.2 [605ecd9f] + ShowCases v0.1.0 [699a6c99] + SimpleTraits v0.9.5 [a2af1166] + SortingAlgorithms v1.2.2 [dc90abb0] + SparseInverseSubset v0.1.2 [276daf66] + SpecialFunctions v2.5.1 [171d559e] + SplittablesBase v0.1.15 [90137ffa] + StaticArrays v1.9.15 [1e83bf80] + StaticArraysCore v1.4.3 [64bff920] + StatisticalTraits v3.5.0 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.1 [2913bbd2] + StatsBase v0.34.6 [09ab397b] + StructArrays v0.7.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [3bb67fe8] + TranscodingStreams v0.11.3 [28d57a85] + Transducers v0.4.85 [013be700] + UnsafeAtomics v0.3.0 [e88e6eb3] + Zygote v0.7.10 [700de1a5] + ZygoteRules v0.2.7 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [0dad84c5] + ArgTools v1.1.2 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [f43a241f] + Downloads v1.7.0 [7b1f6079] + FileWatching v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [ac6e5ff7] + JuliaSyntaxHighlighting v1.12.0 [4af54fe1] + LazyArtifacts v1.11.0 [b27032c2] + LibCURL v0.6.4 [76f85450] + LibGit2 v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.13.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [3fa0cd96] + REPL v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.16.0+0 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.9.9 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.7+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.46.0+0 [bea87d4a] + SuiteSparse_jll v7.10.1+0 [83775a58] + Zlib_jll v1.3.1+2 [3161d3a3] + Zstd_jll v1.5.7+1 [8e850b90] + libblastrampoline_jll v5.13.1+0 [8e850ede] + nghttp2_jll v1.67.0+0 [3f19e933] + p7zip_jll v17.6.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.86s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 809.88s ################################################################################ # Testing # Testing MLJFlux Status `/tmp/jl_8WjBCA/Project.toml` [052768ef] CUDA v5.8.3 ⌅ [324d7699] CategoricalArrays v0.10.8 [3da002f7] ColorTypes v0.12.1 [ed09eef8] ComputationalResources v0.3.2 [587475ba] Flux v0.16.5 ⌃ [a7f614a8] MLJBase v1.7.0 [094fc8d1] MLJFlux v0.6.6 [e80e1ace] MLJModelInterface v1.12.0 [dbeba491] Metalhead v0.9.5 [3bd65402] Optimisers v0.4.6 [92933f4c] ProgressMeter v1.11.0 [860ef19b] StableRNGs v1.0.3 ⌅ [a19d573c] StatisticalMeasures v0.1.7 [10745b16] Statistics v1.11.1 [2913bbd2] StatsBase v0.34.6 [bd369af6] Tables v1.12.1 [02a925ec] cuDNN v1.4.5 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_8WjBCA/Manifest.toml` Precompiling packages... 6409.7 ms ✓ CUDA_Runtime_jll 1 dependency successfully precompiled in 7 seconds. 31 already precompiled. [621f4979] AbstractFFTs v1.5.0 [7d9f7c33] Accessors v0.1.42 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [dce04be8] ArgCheck v2.5.0 [a9b6321e] Atomix v1.1.2 [ab4f0b2a] BFloat16s v0.5.1 [fbb218c0] BSON v0.3.9 [198e06fe] BangBang v0.4.4 [9718e550] Baselet v0.1.1 [fa961155] CEnum v0.5.0 [052768ef] CUDA v5.8.3 [1af6417a] CUDA_Runtime_Discovery v1.0.0 ⌅ [324d7699] CategoricalArrays v0.10.8 ⌅ [af321ab8] CategoricalDistributions v0.1.15 [082447d4] ChainRules v1.72.5 [d360d2e6] ChainRulesCore v1.26.0 [3da002f7] ColorTypes v0.12.1 [5ae59095] Colors v0.13.1 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.18.0 [a33af91c] CompositionsBase v0.1.2 [ed09eef8] ComputationalResources v0.3.2 [187b0558] ConstructionBase v1.6.0 [6add18c4] ContextVariablesX v0.1.3 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.8.0 [864edb3b] DataStructures v0.19.1 [e2d170a0] DataValueInterfaces v1.0.0 [244e2a9f] DefineSingletons v0.1.2 [8bb1440f] DelimitedFiles v1.9.1 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [31c24e10] Distributions v0.25.120 [ffbed154] DocStringExtensions v0.9.5 [f151be2c] EnzymeCore v0.8.13 [e2ba6199] ExprTools v0.1.10 [cc61a311] FLoops v0.2.2 [b9860ae5] FLoopsBase v0.1.1 [5789e2e9] FileIO v1.17.0 [1a297f60] FillArrays v1.14.0 [53c48c17] FixedPointNumbers v0.8.5 [587475ba] Flux v0.16.5 [f6369f11] ForwardDiff v1.2.1 [d9f16b24] Functors v0.5.2 [0c68f7d7] GPUArrays v11.2.5 [46192b85] GPUArraysCore v0.2.0 [61eb1bfa] GPUCompiler v1.6.1 [096a3bc2] GPUToolbox v0.3.0 [076d061b] HashArrayMappedTries v0.2.0 [34004b35] HypergeometricFunctions v0.3.28 [7869d1d1] IRTools v0.4.15 [22cec73e] InitialValues v0.3.1 [842dd82b] InlineStrings v1.4.5 [3587e190] InverseFunctions v0.1.17 [41ab1584] InvertedIndices v1.3.1 [92d709cd] IrrationalConstants v0.2.4 [82899510] IteratorInterfaceExtensions v1.0.0 ⌅ [033835bb] JLD2 v0.5.15 [692b3bcd] JLLWrappers v1.7.1 [b14d175d] JuliaVariables v0.2.4 [63c18a36] KernelAbstractions v0.9.38 [929cbde3] LLVM v9.4.2 [8b046642] LLVMLoopInfo v1.0.0 [b964fa9f] LaTeXStrings v1.4.0 ⌅ [92ad9a40] LearnAPI v0.1.0 [2ab3a3ac] LogExpFunctions v0.3.29 [c2834f40] MLCore v1.0.0 [7e8f7934] MLDataDevices v1.12.0 ⌃ [a7f614a8] MLJBase v1.7.0 [094fc8d1] MLJFlux v0.6.6 [e80e1ace] MLJModelInterface v1.12.0 [d8e11817] MLStyle v0.4.17 [f1d291b0] MLUtils v0.4.8 [1914dd2f] MacroTools v0.5.16 [dbeba491] Metalhead v0.9.5 [128add7d] MicroCollections v0.2.0 [e1d29d7a] Missings v1.2.0 [872c559c] NNlib v0.9.31 [5da4648a] NVTX v1.0.1 [77ba4419] NaNMath v1.1.3 [71a1bf82] NameResolution v0.1.5 [0b1bfda6] OneHotArrays v0.2.10 [3bd65402] Optimisers v0.4.6 [bac558e1] OrderedCollections v1.8.1 [90014a1f] PDMats v0.11.35 [d96e819e] Parameters v0.12.3 [570af359] PartialFunctions v1.2.1 [2dfb63ee] PooledArrays v1.4.3 [aea7be01] PrecompileTools v1.3.3 [21216c6a] Preferences v1.5.0 [8162dcfd] PrettyPrint v0.2.0 ⌅ [08abe8d2] PrettyTables v2.4.0 [33c8b6b6] ProgressLogging v0.1.5 [92933f4c] ProgressMeter v1.11.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [74087812] Random123 v1.7.1 [e6cf234a] RandomNumbers v1.6.0 [c1ae055f] RealDot v0.1.0 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [321657f4] ScientificTypes v3.1.1 [30f210dd] ScientificTypesBase v3.0.0 [7e506255] ScopedValues v1.5.0 [6c6a2e73] Scratch v1.3.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [605ecd9f] ShowCases v0.1.0 [699a6c99] SimpleTraits v0.9.5 [a2af1166] SortingAlgorithms v1.2.2 [dc90abb0] SparseInverseSubset v0.1.2 [276daf66] SpecialFunctions v2.5.1 [171d559e] SplittablesBase v0.1.15 [860ef19b] StableRNGs v1.0.3 [90137ffa] StaticArrays v1.9.15 [1e83bf80] StaticArraysCore v1.4.3 ⌅ [a19d573c] StatisticalMeasures v0.1.7 [c062fc1d] StatisticalMeasuresBase v0.1.3 [64bff920] StatisticalTraits v3.5.0 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.1 [2913bbd2] StatsBase v0.34.6 [4c63d2b9] StatsFuns v1.5.0 [892a3eda] StringManipulation v0.4.1 [09ab397b] StructArrays v0.7.1 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.1 [e689c965] Tracy v0.1.6 [3bb67fe8] TranscodingStreams v0.11.3 [28d57a85] Transducers v0.4.85 [3a884ed6] UnPack v1.0.2 [013be700] UnsafeAtomics v0.3.0 [e88e6eb3] Zygote v0.7.10 [700de1a5] ZygoteRules v0.2.7 [02a925ec] cuDNN v1.4.5 [d1e2174e] CUDA_Compiler_jll v0.2.1+0 [4ee394cb] CUDA_Driver_jll v13.0.1+0 [76a88914] CUDA_Runtime_jll v0.19.1+0 [62b44479] CUDNN_jll v9.13.0+0 [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0 [dad2f222] LLVMExtra_jll v0.0.37+2 [ad6e5548] LibTracyClient_jll v0.9.1+6 [e98f9f5b] NVTX_jll v3.2.2+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 [1e29f10c] demumble_jll v1.3.0+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.7.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [ac6e5ff7] JuliaSyntaxHighlighting v1.12.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.3.0 [44cfe95a] Pkg v1.13.0 [de0858da] Printf v1.11.0 [3fa0cd96] REPL v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.13.0 [f489334b] StyledStrings v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] LibCURL_jll v8.16.0+0 [e37daf67] LibGit2_jll v1.9.1+0 [29816b5a] LibSSH2_jll v1.11.3+1 [14a3606d] MozillaCACerts_jll v2025.9.9 [4536629a] OpenBLAS_jll v0.3.29+0 [05823500] OpenLibm_jll v0.8.7+0 [458c3c95] OpenSSL_jll v3.5.2+0 [efcefdf7] PCRE2_jll v10.46.0+0 [bea87d4a] SuiteSparse_jll v7.10.1+0 [83775a58] Zlib_jll v1.3.1+2 [3161d3a3] Zstd_jll v1.5.7+1 [8e850b90] libblastrampoline_jll v5.13.1+0 [8e850ede] nghttp2_jll v1.67.0+0 [3f19e933] p7zip_jll v17.6.0+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... Precompiling packages... 5912.1 ms ✓ PartialFunctions 2004.7 ms ✓ MLDataDevices 12547.8 ms ✓ ChainRules 1684.2 ms ✓ StructArrays → StructArraysStaticArraysExt 2630.9 ms ✓ KernelAbstractions → EnzymeExt 2658.2 ms ✓ StructArrays → StructArraysGPUArraysCoreExt 6662.2 ms ✓ ForwardDiff 3329.9 ms ✓ NNlib → NNlibEnzymeCoreExt 3422.0 ms ✓ OneHotArrays 1674.2 ms ✓ MLDataDevices → MLDataDevicesChainRulesCoreExt 1100.2 ms ✓ MLDataDevices → MLDataDevicesFillArraysExt 1418.0 ms ✓ MLDataDevices → MLDataDevicesSparseArraysExt 7143.7 ms ✓ MLDataDevices → MLDataDevicesMLUtilsExt 2284.6 ms ✓ MLDataDevices → MLDataDevicesChainRulesExt 2319.8 ms ✓ ForwardDiff → ForwardDiffStaticArraysExt 3435.5 ms ✓ NNlib → NNlibForwardDiffExt 60057.7 ms ✓ Zygote 3017.5 ms ✓ MLDataDevices → MLDataDevicesOneHotArraysExt 6256.2 ms ✓ MLDataDevices → MLDataDevicesZygoteExt 25223.3 ms ✓ Flux 26809.9 ms ✓ Metalhead 29664.1 ms ✓ MLJFlux 22 dependencies successfully precompiled in 214 seconds. 167 already precompiled. Precompiling packages... 10566.6 ms ✓ JLD2 → UnPackExt 1 dependency successfully precompiled in 11 seconds. 39 already precompiled. Precompiling packages... 15351.1 ms ✓ GPUArrays Info Given CUDA was explicitly requested, output will be shown live  WARNING: Constructor for type "Int" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "Int" refers to `Base.Int`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function Int end`.  Hint: To silence the warning, qualify `Int` as `Base.Int` in the method signature or explicitly `import Base: Int`. WARNING: Constructor for type "UInt" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "UInt" refers to `Base.UInt`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function UInt end`.  Hint: To silence the warning, qualify `UInt` as `Base.UInt` in the method signature or explicitly `import Base: UInt`. WARNING: Constructor for type "BroadcastStyle" was extended in `CUDA` without explicit qualification or import.  NOTE: Assumed "BroadcastStyle" refers to `Broadcast.BroadcastStyle`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function BroadcastStyle end`.  Hint: To silence the warning, qualify `BroadcastStyle` as `Broadcast.BroadcastStyle` in the method signature or explicitly `import Broadcast: BroadcastStyle`. WARNING: Constructor for type "SparseVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseVector" refers to `SparseArrays.SparseVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseVector end`.  Hint: To silence the warning, qualify `SparseVector` as `SparseArrays.SparseVector` in the method signature or explicitly `import SparseArrays: SparseVector`. WARNING: Constructor for type "SparseMatrixCSC" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "SparseMatrixCSC" refers to `SparseArrays.SparseMatrixCSC`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function SparseMatrixCSC end`.  Hint: To silence the warning, qualify `SparseMatrixCSC` as `SparseArrays.SparseMatrixCSC` in the method signature or explicitly `import SparseArrays: SparseMatrixCSC`. WARNING: Constructor for type "CuVector" was extended in `CUSPARSE` without explicit qualification or import.  NOTE: Assumed "CuVector" refers to `CUDA.CuVector`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuVector end`.  Hint: To silence the warning, qualify `CuVector` as `CUDA.CuVector` in the method signature or explicitly `import CUDA: CuVector`. WARNING: Constructor for type "CuMatrix" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuMatrix" refers to `CUDA.CuMatrix`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuMatrix end`.  Hint: To silence the warning, qualify `CuMatrix` as `CUDA.CuMatrix` in the method signature or explicitly `import CUDA: CuMatrix`. WARNING: Constructor for type "CuArray" was extended in `CUSOLVER` without explicit qualification or import.  NOTE: Assumed "CuArray" refers to `CUDA.CuArray`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function CuArray end`.  Hint: To silence the warning, qualify `CuArray` as `CUDA.CuArray` in the method signature or explicitly `import CUDA: CuArray`. 123581.4 ms ✓ CUDA 36292.8 ms ✓ Atomix → AtomixCUDAExt 3 dependencies successfully precompiled in 177 seconds. 103 already precompiled. 1 dependency had output during precompilation: ┌ CUDA │ [Output was shown above] └ Precompiling packages... 9249.8 ms ✓ MLDataDevices → MLDataDevicesGPUArraysExt 1 dependency successfully precompiled in 10 seconds. 61 already precompiled. Precompiling packages... 11298.8 ms ✓ GPUArrays → JLD2Ext 1 dependency successfully precompiled in 12 seconds. 59 already precompiled. Precompiling packages... 7502.7 ms ✓ Zygote → ZygoteColorsExt 1 dependency successfully precompiled in 9 seconds. 71 already precompiled. Precompiling packages... 37507.9 ms ✓ CUDA → ChainRulesCoreExt 43647.1 ms ✓ NNlib → NNlibCUDAExt 2 dependencies successfully precompiled in 83 seconds. 111 already precompiled. Precompiling packages... 41260.5 ms ✓ MLDataDevices → MLDataDevicesCUDAExt 1 dependency successfully precompiled in 46 seconds. 113 already precompiled. Precompiling packages... 8791.5 ms ✓ CUDNN_jll 47971.3 ms ✓ cuDNN 2 dependencies successfully precompiled in 59 seconds. 106 already precompiled. Precompiling packages... Info Given NNlibCUDACUDNNExt was explicitly requested, output will be shown live  WARNING: Constructor for type "cudnnConvolutionDescriptor" was extended in `NNlibCUDACUDNNExt` without explicit qualification or import.  NOTE: Assumed "cudnnConvolutionDescriptor" refers to `cuDNN.cudnnConvolutionDescriptor`. This behavior is deprecated and may differ in future versions.  NOTE: This behavior may have differed in Julia versions prior to 1.12.  Hint: If you intended to create a new generic function of the same name, use `function cudnnConvolutionDescriptor end`.  Hint: To silence the warning, qualify `cudnnConvolutionDescriptor` as `cuDNN.cudnnConvolutionDescriptor` in the method signature or explicitly `import cuDNN: cudnnConvolutionDescriptor`. 42925.8 ms ✓ NNlib → NNlibCUDACUDNNExt 1 dependency successfully precompiled in 45 seconds. 115 already precompiled. 1 dependency had output during precompilation: ┌ NNlib → NNlibCUDACUDNNExt │ [Output was shown above] └ Precompiling packages... 42322.6 ms ✓ MLDataDevices → MLDataDevicescuDNNExt 1 dependency successfully precompiled in 45 seconds. 116 already precompiled. Precompiling packages... 41972.8 ms ✓ CUDA → EnzymeCoreExt 40872.7 ms ✓ CUDA → SpecialFunctionsExt 56261.0 ms ✓ Flux → FluxCUDAcuDNNExt 3 dependencies successfully precompiled in 143 seconds. 222 already precompiled. ┌ Error: Error during loading of extension FluxCUDAcuDNNExt of Flux, use `Base.retry_load_extensions()` to retry. │ exception = │ 1-element ExceptionStack: │ ConcurrencyViolationError("deadlock detected in loading FluxCUDAExt using FluxCUDAExt (while loading FluxCUDAcuDNNExt)") │ Stacktrace: │ [1] canstart_loading(modkey::Base.PkgId, build_id::UInt128, stalecheck::Bool) │ @ Base ./loading.jl:2200 │ [2] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2034 │ [3] _require_search_from_serialized │ @ ./loading.jl:1999 [inlined] │ [4] __require_prelocked(pkg::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2649 │ [5] _require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2515 │ [6] _require_prelocked │ @ ./loading.jl:2509 [inlined] │ [7] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base ./loading.jl:1581 │ [8] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base ./loading.jl:1618 │ [9] run_package_callbacks(modkey::Base.PkgId) │ @ Base ./loading.jl:1434 │ [10] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2523 │ [11] macro expansion │ @ ./loading.jl:2443 [inlined] │ [12] macro expansion │ @ ./lock.jl:376 [inlined] │ [13] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2407 │ [14] require │ @ ./loading.jl:2383 [inlined] │ [15] __init__() │ @ FluxCUDAExt ~/.julia/packages/Flux/uRn8o/ext/FluxCUDAExt/FluxCUDAExt.jl:8 │ [16] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [17] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [18] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [19] _include_from_serialized │ @ ./loading.jl:1247 [inlined] │ [20] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String}) │ @ Base ./loading.jl:2105 │ [21] _require_search_from_serialized │ @ ./loading.jl:1999 [inlined] │ [22] __require_prelocked(pkg::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2649 │ [23] _require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2515 │ [24] _require_prelocked │ @ ./loading.jl:2509 [inlined] │ [25] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base ./loading.jl:1581 │ [26] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base ./loading.jl:1618 │ [27] run_package_callbacks(modkey::Base.PkgId) │ @ Base ./loading.jl:1434 │ [28] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2523 │ [29] macro expansion │ @ ./loading.jl:2443 [inlined] │ [30] macro expansion │ @ ./lock.jl:376 [inlined] │ [31] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2407 │ [32] require │ @ ./loading.jl:2383 [inlined] │ [33] eval_import_path │ @ ./module.jl:36 [inlined] │ [34] eval_import_path_all(at::Module, path::Expr, keyword::String) │ @ Base ./module.jl:60 │ [35] _eval_using(to::Module, path::Expr) │ @ Base ./module.jl:137 │ [36] top-level scope │ @ ~/.julia/packages/MLJFlux/5eWpt/test/runtests.jl:14 │ [37] include(mapexpr::Function, mod::Module, _path::String) │ @ Base ./Base.jl:309 │ [38] top-level scope │ @ none:6 │ [39] eval(m::Module, e::Any) │ @ Core ./boot.jl:489 │ [40] exec_options(opts::Base.JLOptions) │ @ Base ./client.jl:296 │ [41] _start() │ @ Base ./client.jl:563 └ @ Base loading.jl:1591 Precompiling packages... 60792.7 ms ✓ Metalhead → MetalheadCUDAExt 1 dependency successfully precompiled in 65 seconds. 227 already precompiled. ┌ 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) └ @ MLDataDevices.Internal ~/.julia/packages/MLDataDevices/R4cqT/src/internal.jl:112 ┌ Info: MLJFlux supports these computational resources: └ Any[CPU1{Nothing}(nothing), CUDALibs{Nothing}(nothing)] ┌ Info: Current test run to exclude resources with these types, as unavailable: │ Any[CUDALibs] └ Excluded tests marked as "broken". [ Info: MLJFlux: converting input data to Float32 [ Info: train and dropout: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) Test Summary: | Pass Broken Total Time core | 20 1 21 3m32.3s [ Info: issue #152: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: Short: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: @builder: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: MLP: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) Test Summary: | Pass Broken Total Time builders | 10 4 14 1m15.7s Test Summary: | Pass Total Time metalhead | 8 8 1.9s [ Info: get no-op behaviour when categoricals absent: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: transform works properly: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: fit, refit and predict work tests: [ Info: acceleration = CPU1{Nothing}(nothing) [ Info: acceleration = CUDALibs{Nothing}(nothing) Test Summary: | Pass Broken Total Time mlj_model_interface | 58 3 61 3m35.2s [ Info: NeuralNetworkRegressor: [ Info: acceleration = CPU1{Nothing}(nothing) 13.420262 seconds (6.86 M allocations: 416.116 MiB, 1.94% gc time, 88.39% compilation time) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: MultitargetNeuralNetworkRegressor: [ Info: acceleration = CPU1{Nothing}(nothing) 4.242352 seconds (3.28 M allocations: 233.865 MiB, 3.13% gc time, 57.36% compilation time) [ Info: acceleration = CUDALibs{Nothing}(nothing) Test Summary: | Pass Broken Total Time regressor | 46 2 48 1m33.9s [ Info: NeuralNetworkClassifier: [ Info: acceleration = CPU1{Nothing}(nothing) 4.217426 seconds (2.66 M allocations: 201.170 MiB, 2.68% gc time, 63.72% compilation time) [ Info: Training machine(NeuralNetworkClassifier(builder = MLP(hidden = (8,), …), …), …). Optimising neural net: 67%[================> ] ETA: 0:00:00 Optimising neural net: 100%[=========================] Time: 0:00:01 [ Info: Training machine(NeuralNetworkClassifier(builder = MLP(hidden = (8,), …), …), …). Optimising neural net: 50%[============> ] ETA: 0:00:00 Optimising neural net: 75%[==================> ] ETA: 0:00:00 Optimising neural net: 100%[=========================] Time: 0:00:01 [ Info: acceleration = CUDALibs{Nothing}(nothing) losses for each resource: Any[0.033519536f0] [ Info: NeuralNetworkBinaryClassifier: [ Info: acceleration = CPU1{Nothing}(nothing) 6.681063 seconds (3.91 M allocations: 225.964 MiB, 2.66% gc time, 95.99% compilation time) [ Info: acceleration = CUDALibs{Nothing}(nothing) Test Summary: | Pass Broken Total Time classifier | 48 2 50 2m08.8s [ Info: ImageClassifier basic tests: [ Info: acceleration = CPU1{Nothing}(nothing) 0.278131 seconds (192.40 k allocations: 39.850 MiB, 40.26% gc time) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: Losses for each computational resource: Any[0.003449572f0] [ Info: ColorImages: [ Info: acceleration = CPU1{Nothing}(nothing) 0.385086 seconds (385.70 k allocations: 80.382 MiB, 8.63% gc time) [ Info: acceleration = CUDALibs{Nothing}(nothing) [ Info: Losses for each computational resource: Any[0.09690239f0] [ Info: ImageClassifier basic tests: [ Info: acceleration = CPU1{Nothing}(nothing) ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 309 running 1 of 1 signal (10): User defined signal 1 gc_setmark_pool_ at /source/src/gc-stock.c:289 [inlined] gc_setmark_pool at /source/src/gc-stock.c:307 [inlined] gc_setmark at /source/src/gc-stock.c:314 gc_mark_outrefs at /source/src/gc-stock.c:2272 [inlined] gc_mark_loop_serial_ at /source/src/gc-stock.c:2524 gc_mark_loop_serial at /source/src/gc-stock.c:2547 gc_mark_loop at /source/src/gc-stock.c:2735 [inlined] _jl_gc_collect at /source/src/gc-stock.c:3080 ijl_gc_collect at /source/src/gc-stock.c:3489 maybe_collect at /source/src/gc-stock.c:349 [inlined] jl_gc_small_alloc_inner at /source/src/gc-stock.c:725 jl_gc_small_alloc_noinline at /source/src/gc-stock.c:783 [inlined] jl_gc_alloc_ at /source/src/gc-stock.c:797 jl_alloc_genericmemory_unchecked at /source/src/genericmemory.c:41 GenericMemory at ./boot.jl:588 [inlined] new_as_memoryref at ./boot.jl:605 [inlined] Array at ./boot.jl:658 [inlined] Array at ./boot.jl:664 [inlined] similar at ./array.jl:414 [inlined] similar at ./abstractarray.jl:823 [inlined] #conv#122 at /home/pkgeval/.julia/packages/NNlib/1TYHL/src/conv.jl:86 conv at /home/pkgeval/.julia/packages/NNlib/1TYHL/src/conv.jl:83 [inlined] Conv at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/conv.jl:201 macro expansion at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 [inlined] _applychain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 Chain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:65 [inlined] macro expansion at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 [inlined] _applychain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 [inlined] Chain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:65 [inlined] macro expansion at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 [inlined] _applychain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 [inlined] Chain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:65 [inlined] test_chain_works at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/fit_utils.jl:23 unknown function (ip: 0x719034a2e47a) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 fit at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/mlj_model_interface.jl:111 unknown function (ip: 0x719034a04331) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:690 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:772 jl_toplevel_eval_flex at /source/src/toplevel.c:712 ijl_toplevel_eval at /source/src/toplevel.c:784 ijl_toplevel_eval_in at /source/src/toplevel.c:829 eval at ./boot.jl:489 include_string at ./loading.jl:2918 _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 _include at ./loading.jl:2978 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 unknown function (ip: 0x7190675c73f2) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:690 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:772 jl_toplevel_eval_flex at /source/src/toplevel.c:712 ijl_toplevel_eval at /source/src/toplevel.c:784 ijl_toplevel_eval_in at /source/src/toplevel.c:829 eval at ./boot.jl:489 include_string at ./loading.jl:2918 _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 _include at ./loading.jl:2978 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_69077.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:690 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:772 jl_toplevel_eval_flex at /source/src/toplevel.c:712 ijl_toplevel_eval at /source/src/toplevel.c:784 ijl_toplevel_eval_in at /source/src/toplevel.c:829 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_49668.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7190813fe249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile. --trace-compile is enabled during profile collection. ====================================================================================== cmd: /opt/julia/bin/julia 1 running 0 of 1 signal (10): User defined signal 1 epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404 uv_run at /workspace/srcdir/libuv/src/unix/core.c:430 ijl_task_get_next at /source/src/scheduler.c:457 wait at ./task.jl:1200 wait_forever at ./task.jl:1137 jfptr_wait_forever_72434.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) ============================================================== Profile collected. A report will print at the next yield point. Disabling --trace-compile ============================================================== ┌ Warning: There were no samples collected in one or more groups. │ This may be due to idle threads, or you may need to run your │ program longer (perhaps by running it multiple times), │ or adjust the delay between samples with `Profile.init()`. └ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362 Overhead ╎ [+additional indent] Count File:Line Function ========================================================= Thread 1 (default) Task 0x0000724a2c0441f0 Total snapshots: 481. Utilization: 0% ╎481 @Base/task.jl:1137 wait_forever() 480╎ 481 @Base/task.jl:1200 wait() [309] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/test/image.jl:116 jl_lookup_generic_ at /source/src/gf.c:4170 [inlined] ijl_apply_generic at /source/src/gf.c:4253 copy at ./broadcast.jl:943 [inlined] materialize at ./broadcast.jl:896 [inlined] substitute at /home/pkgeval/.julia/packages/IRTools/v0mn8/src/ir/ir.jl:869 unknown function (ip: 0x71904071ce06) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 substitute at /home/pkgeval/.julia/packages/IRTools/v0mn8/src/ir/ir.jl:868 iterate at /home/pkgeval/.julia/packages/IRTools/v0mn8/src/ir/ir.jl:909 instrument at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/reverse.jl:151 #Primal#39 at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/reverse.jl:238 [inlined] Primal at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/reverse.jl:237 [inlined] #Adjoint#47 at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/reverse.jl:388 Adjoint at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/reverse.jl:387 unknown function (ip: 0x719040730a24) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 _generate_pullback_via_decomposition at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/emit.jl:101 _generate_pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:32 _pullback_generator at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:68 unknown function (ip: 0x719040b0be2d) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_call_staged at /source/src/method.c:660 ijl_code_for_staged at /source/src/method.c:733 call_get_staged at ./../usr/share/julia/Compiler/src/utilities.jl:0 [inlined] get_staged at ./../usr/share/julia/Compiler/src/utilities.jl:88 retrieve_code_info at ./../usr/share/julia/Compiler/src/utilities.jl:121 InferenceState at ./../usr/share/julia/Compiler/src/inferencestate.jl:603 [inlined] InferenceState at ./../usr/share/julia/Compiler/src/inferencestate.jl:608 [inlined] typeinf_ext at ./../usr/share/julia/Compiler/src/typeinfer.jl:1379 typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1568 [inlined] typeinf_ext_toplevel at ./../usr/share/julia/Compiler/src/typeinfer.jl:1577 jfptr_typeinf_ext_toplevel_86015.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] jl_type_infer at /source/src/gf.c:461 jl_compile_method_internal at /source/src/gf.c:3582 _jl_invoke at /source/src/gf.c:4052 [inlined] ijl_apply_generic at /source/src/gf.c:4257 _applychain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:68 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:0 Chain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:65 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:0 _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:81 Chain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:65 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:0 _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:81 Chain at /home/pkgeval/.julia/packages/Flux/uRn8o/src/layers/basic.jl:65 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:0 #train_epoch##0 at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:56 [inlined] _pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface2.jl:0 unknown function (ip: 0x719034a5d626) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface.jl:96 pullback at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface.jl:94 [inlined] withgradient at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface.jl:211 #withgradient#5 at /home/pkgeval/.julia/packages/Flux/uRn8o/src/gradient.jl:182 [inlined] withgradient at /home/pkgeval/.julia/packages/Flux/uRn8o/src/gradient.jl:169 unknown function (ip: 0x719034a55cca) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 train_epoch at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:55 unknown function (ip: 0x719034a525d8) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 train at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:142 unknown function (ip: 0x719034a4ceac) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 fit at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/mlj_model_interface.jl:116 unknown function (ip: 0x719034a04331) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:690 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:772 jl_toplevel_eval_flex at /source/src/toplevel.c:712 ijl_toplevel_eval at /source/src/toplevel.c:784 ijl_toplevel_eval_in at /source/src/toplevel.c:829 eval at ./boot.jl:489 include_string at ./loading.jl:2918 _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 _include at ./loading.jl:2978 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 unknown function (ip: 0x7190675c73f2) at (unknown file) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:690 eval_body at /source/src/interpreter.c:550 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 eval_body at /source/src/interpreter.c:558 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:772 jl_toplevel_eval_flex at /source/src/toplevel.c:712 ijl_toplevel_eval at /source/src/toplevel.c:784 ijl_toplevel_eval_in at /source/src/toplevel.c:829 eval at ./boot.jl:489 include_string at ./loading.jl:2918 _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 _include at ./loading.jl:2978 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_69077.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_stmt_value at /source/src/interpreter.c:194 [inlined] eval_body at /source/src/interpreter.c:690 jl_interpret_toplevel_thunk at /source/src/interpreter.c:899 jl_toplevel_eval_flex at /source/src/toplevel.c:772 jl_toplevel_eval_flex at /source/src/toplevel.c:712 ijl_toplevel_eval at /source/src/toplevel.c:784 ijl_toplevel_eval_in at /source/src/toplevel.c:829 eval at ./boot.jl:489 exec_options at ./client.jl:296 _start at ./client.jl:563 jfptr__start_49668.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4060 [inlined] ijl_apply_generic at /source/src/gf.c:4257 jl_apply at /source/src/julia.h:2262 [inlined] true_main at /source/src/jlapi.c:971 jl_repl_entrypoint at /source/src/jlapi.c:1138 main at /source/cli/loader_exe.c:58 unknown function (ip: 0x7190813fe249) at /lib/x86_64-linux-gnu/libc.so.6 __libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S unknown function (ip: (nil)) at (unknown file) Allocations: 465856266 (Pool: 465755097; Big: 101169); GC: 218 PkgEval terminated after 2727.36s: test duration exceeded the time limit