Package evaluation of MLJFlux on Julia 1.13.0-DEV.791 (d5209bd37d*) started at 2025-07-04T18:32:35.179


################################################################################
# Set-up
#

Installing PkgEval dependencies (TestEnv)...

Set-up completed after 7.93s


################################################################################
# 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 v1.1.1
  [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 v1.25.2
  [3da002f7] + ColorTypes v0.12.1
  [bbf7d656] + CommonSubexpressions v0.3.1
  [34da2185] + Compat v4.17.0
  [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 v0.18.22
  [e2d170a0] + DataValueInterfaces v1.0.0
  [244e2a9f] + DefineSingletons v0.1.2
  [8bb1440f] + DelimitedFiles v1.9.1
  [163ba53b] + DiffResults v1.1.0
  [b552c78f] + DiffRules v1.15.1
  [ffbed154] + DocStringExtensions v0.9.5
  [f151be2c] + EnzymeCore v0.8.12
  [cc61a311] + FLoops v0.2.2
  [b9860ae5] + FLoopsBase v0.1.1
  [5789e2e9] + FileIO v1.17.0
  [1a297f60] + FillArrays v1.13.0
  [53c48c17] + FixedPointNumbers v0.8.5
  [587475ba] + Flux v0.16.4
  [f6369f11] + ForwardDiff v1.0.1
  [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 v1.7.0
  [b14d175d] + JuliaVariables v0.2.4
  [63c18a36] + KernelAbstractions v0.9.36
  [2ab3a3ac] + LogExpFunctions v0.3.29
  [c2834f40] + MLCore v1.0.0
  [7e8f7934] + MLDataDevices v1.10.1
  [094fc8d1] + MLJFlux v0.6.6
  [e80e1ace] + MLJModelInterface v1.11.1
  [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 v0.9.30
  [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 v1.3.2
  [21216c6a] + Preferences v1.4.3
  [8162dcfd] + PrettyPrint v0.2.0
  [33c8b6b6] + ProgressLogging v0.1.5
  [92933f4c] + ProgressMeter v1.10.4
  [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 v1.3.0
  [efcf1570] + Setfield v1.1.2
  [605ecd9f] + ShowCases v0.1.0
  [699a6c99] + SimpleTraits v0.9.4
  [a2af1166] + SortingAlgorithms v1.2.1
  [dc90abb0] + SparseInverseSubset v0.1.2
  [276daf66] + SpecialFunctions v2.5.1
  [171d559e] + SplittablesBase v0.1.15
  [90137ffa] + StaticArrays v1.9.13
  [1e83bf80] + StaticArraysCore v1.4.3
  [64bff920] + StatisticalTraits v3.4.0
  [10745b16] + Statistics v1.11.1
  [82ae8749] + StatsAPI v1.7.1
  [2913bbd2] + StatsBase v0.34.5
  [09ab397b] + StructArrays v0.7.1
  [3783bdb8] + TableTraits v1.0.1
  [bd369af6] + Tables v1.12.1
  [3bb67fe8] + TranscodingStreams v0.11.3
  [28d57a85] + Transducers v0.4.84
  [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 v1.12.0
  [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 v1.12.0
  [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 v8.14.1+1
  [e37daf67] + LibGit2_jll v1.9.1+0
  [29816b5a] + LibSSH2_jll v1.11.3+1
  [14a3606d] + MozillaCACerts_jll v2025.5.20
  [4536629a] + OpenBLAS_jll v0.3.29+0
  [05823500] + OpenLibm_jll v0.8.5+0
  [458c3c95] + OpenSSL_jll v3.5.0+0
  [efcefdf7] + PCRE2_jll v10.45.0+0
  [bea87d4a] + SuiteSparse_jll v7.10.1+0
  [83775a58] + Zlib_jll v1.3.1+2
  [8e850b90] + libblastrampoline_jll v5.13.1+0
  [8e850ede] + nghttp2_jll v1.65.0+0
  [3f19e933] + p7zip_jll v17.5.0+2

Installation completed after 3.96s


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# Precompilation
#

Precompiling PkgEval dependencies...

Precompiling package dependencies...

Precompilation completed after 721.95s


################################################################################
# Testing
#

     Testing MLJFlux
      Status `/tmp/jl_SCumP6/Project.toml`
  [052768ef] CUDA v5.8.2
  [324d7699] CategoricalArrays v0.10.8
  [3da002f7] ColorTypes v0.12.1
  [ed09eef8] ComputationalResources v0.3.2
  [587475ba] Flux v0.16.4
⌃ [a7f614a8] MLJBase v1.7.0
  [094fc8d1] MLJFlux v0.6.6
  [e80e1ace] MLJModelInterface v1.11.1
  [dbeba491] Metalhead v0.9.5
  [3bd65402] Optimisers v0.4.6
  [92933f4c] ProgressMeter v1.10.4
  [860ef19b] StableRNGs v1.0.3
⌅ [a19d573c] StatisticalMeasures v0.1.7
  [10745b16] Statistics v1.11.1
  [2913bbd2] StatsBase v0.34.5
  [bd369af6] Tables v1.12.1
  [02a925ec] cuDNN v1.4.3
  [37e2e46d] LinearAlgebra v1.12.0
  [56ddb016] Logging v1.11.0
  [9a3f8284] Random v1.11.0
  [8dfed614] Test v1.11.0
      Status `/tmp/jl_SCumP6/Manifest.toml`
  [621f4979] AbstractFFTs v1.5.0
  [7d9f7c33] Accessors v0.1.42
  [79e6a3ab] Adapt v4.3.0
  [66dad0bd] AliasTables v1.1.3
  [dce04be8] ArgCheck v2.5.0
  [a9b6321e] Atomix v1.1.1
  [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 v5.8.2
  [1af6417a] CUDA_Runtime_Discovery v0.3.5
  [324d7699] CategoricalArrays v0.10.8
  [af321ab8] CategoricalDistributions v0.1.15
  [082447d4] ChainRules v1.72.5
  [d360d2e6] ChainRulesCore v1.25.2
  [3da002f7] ColorTypes v0.12.1
  [5ae59095] Colors v0.13.1
  [bbf7d656] CommonSubexpressions v0.3.1
  [34da2185] Compat v4.17.0
  [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 v1.7.0
  [864edb3b] DataStructures v0.18.22
  [e2d170a0] DataValueInterfaces v1.0.0
  [244e2a9f] DefineSingletons v0.1.2
  [8bb1440f] DelimitedFiles v1.9.1
  [163ba53b] DiffResults v1.1.0
  [b552c78f] DiffRules v1.15.1
  [31c24e10] Distributions v0.25.120
  [ffbed154] DocStringExtensions v0.9.5
  [f151be2c] EnzymeCore v0.8.12
  [e2ba6199] ExprTools v0.1.10
  [cc61a311] FLoops v0.2.2
  [b9860ae5] FLoopsBase v0.1.1
  [5789e2e9] FileIO v1.17.0
  [1a297f60] FillArrays v1.13.0
  [53c48c17] FixedPointNumbers v0.8.5
  [587475ba] Flux v0.16.4
  [f6369f11] ForwardDiff v1.0.1
  [d9f16b24] Functors v0.5.2
  [0c68f7d7] GPUArrays v11.2.3
  [46192b85] GPUArraysCore v0.2.0
  [61eb1bfa] GPUCompiler v1.6.1
  [096a3bc2] GPUToolbox v0.2.0
  [076d061b] HashArrayMappedTries v0.2.0
  [34004b35] HypergeometricFunctions v0.3.28
  [7869d1d1] IRTools v0.4.15
  [22cec73e] InitialValues v0.3.1
  [842dd82b] InlineStrings v1.4.4
  [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 v1.7.0
  [b14d175d] JuliaVariables v0.2.4
  [63c18a36] KernelAbstractions v0.9.36
  [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 v1.10.1
⌃ [a7f614a8] MLJBase v1.7.0
  [094fc8d1] MLJFlux v0.6.6
  [e80e1ace] MLJModelInterface v1.11.1
  [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 v0.9.30
  [5da4648a] NVTX v1.0.0
  [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 v1.3.2
  [21216c6a] Preferences v1.4.3
  [8162dcfd] PrettyPrint v0.2.0
  [08abe8d2] PrettyTables v2.4.0
  [33c8b6b6] ProgressLogging v0.1.5
  [92933f4c] ProgressMeter v1.10.4
  [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 v3.1.0
  [30f210dd] ScientificTypesBase v3.0.0
  [7e506255] ScopedValues v1.3.0
  [6c6a2e73] Scratch v1.3.0
  [91c51154] SentinelArrays v1.4.8
  [efcf1570] Setfield v1.1.2
  [605ecd9f] ShowCases v0.1.0
  [699a6c99] SimpleTraits v0.9.4
  [a2af1166] SortingAlgorithms v1.2.1
  [dc90abb0] SparseInverseSubset v0.1.2
  [276daf66] SpecialFunctions v2.5.1
  [171d559e] SplittablesBase v0.1.15
  [860ef19b] StableRNGs v1.0.3
  [90137ffa] StaticArrays v1.9.13
  [1e83bf80] StaticArraysCore v1.4.3
⌅ [a19d573c] StatisticalMeasures v0.1.7
  [c062fc1d] StatisticalMeasuresBase v0.1.2
  [64bff920] StatisticalTraits v3.4.0
  [10745b16] Statistics v1.11.1
  [82ae8749] StatsAPI v1.7.1
  [2913bbd2] StatsBase v0.34.5
  [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 v0.1.5
  [3bb67fe8] TranscodingStreams v0.11.3
  [28d57a85] Transducers v0.4.84
  [3a884ed6] UnPack v1.0.2
  [013be700] UnsafeAtomics v0.3.0
  [e88e6eb3] Zygote v0.7.10
  [700de1a5] ZygoteRules v0.2.7
  [02a925ec] cuDNN v1.4.3
⌅ [4ee394cb] CUDA_Driver_jll v0.13.1+0
⌅ [76a88914] CUDA_Runtime_jll v0.17.1+0
  [62b44479] CUDNN_jll v9.10.0+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 v3.2.1+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 v1.12.0
  [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 v1.12.0
  [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 v8.14.1+1
  [e37daf67] LibGit2_jll v1.9.1+0
  [29816b5a] LibSSH2_jll v1.11.3+1
  [14a3606d] MozillaCACerts_jll v2025.5.20
  [4536629a] OpenBLAS_jll v0.3.29+0
  [05823500] OpenLibm_jll v0.8.5+0
  [458c3c95] OpenSSL_jll v3.5.0+0
  [efcefdf7] PCRE2_jll v10.45.0+0
  [bea87d4a] SuiteSparse_jll v7.10.1+0
  [83775a58] Zlib_jll v1.3.1+2
  [8e850b90] libblastrampoline_jll v5.13.1+0
  [8e850ede] nghttp2_jll v1.65.0+0
  [3f19e933] p7zip_jll v17.5.0+2
        Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading.
     Testing Running tests...
Precompiling packages...
   5319.7 ms  ✓ MLDataDevices → MLDataDevicesChainRulesCoreExt
   1118.0 ms  ✓ MLDataDevices → MLDataDevicesFillArraysExt
   2306.3 ms  ✓ MLDataDevices → MLDataDevicesChainRulesExt
   3353.6 ms  ✓ NNlib → NNlibEnzymeCoreExt
   3615.9 ms  ✓ NNlib → NNlibForwardDiffExt
  66005.1 ms  ✓ Zygote
   3207.5 ms  ✓ MLDataDevices → MLDataDevicesOneHotArraysExt
   6055.2 ms  ✓ MLDataDevices → MLDataDevicesMLUtilsExt
   6319.1 ms  ✓ MLDataDevices → MLDataDevicesZygoteExt
  25917.0 ms  ✓ Flux
  27091.9 ms  ✓ Metalhead
  28917.1 ms  ✓ MLJFlux
  12 dependencies successfully precompiled in 181 seconds. 176 already precompiled.
Precompiling packages...
  19207.6 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 "CuArray" was extended in `CUBLAS` 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`.
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`.
 151316.5 ms  ✓ CUDA
  41245.7 ms  ✓ Atomix → AtomixCUDAExt
  3 dependencies successfully precompiled in 213 seconds. 101 already precompiled.
  1 dependency had output during precompilation:
┌ CUDA
│  [Output was shown above]
└  
Precompiling packages...
   9978.0 ms  ✓ MLDataDevices → MLDataDevicesGPUArraysExt
  1 dependency successfully precompiled in 11 seconds. 60 already precompiled.
Precompiling packages...
  13836.9 ms  ✓ Zygote → ZygoteColorsExt
  1 dependency successfully precompiled in 15 seconds. 71 already precompiled.
Precompiling packages...
  42589.5 ms  ✓ CUDA → ChainRulesCoreExt
  49403.1 ms  ✓ NNlib → NNlibCUDAExt
  2 dependencies successfully precompiled in 93 seconds. 109 already precompiled.
Precompiling packages...
  46728.7 ms  ✓ MLDataDevices → MLDataDevicesCUDAExt
  1 dependency successfully precompiled in 50 seconds. 111 already precompiled.
Precompiling packages...
  53196.9 ms  ✓ cuDNN
  1 dependency successfully precompiled in 54 seconds. 105 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`.
  46266.9 ms  ✓ NNlib → NNlibCUDACUDNNExt
  1 dependency successfully precompiled in 48 seconds. 113 already precompiled.
  1 dependency had output during precompilation:
┌ NNlib → NNlibCUDACUDNNExt
│  [Output was shown above]
└  
Precompiling packages...
  46352.9 ms  ✓ MLDataDevices → MLDataDevicescuDNNExt
  1 dependency successfully precompiled in 48 seconds. 114 already precompiled.
Precompiling packages...
  46536.1 ms  ✓ CUDA → SpecialFunctionsExt
  46545.4 ms  ✓ CUDA → EnzymeCoreExt
  63335.2 ms  ✓ Flux → FluxCUDAcuDNNExt
  3 dependencies successfully precompiled in 161 seconds. 220 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:2183
│      [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:2017
│      [3] __require_prelocked(pkg::Base.PkgId, env::Nothing)
│        @ Base ./loading.jl:2600
│      [4] _require_prelocked(uuidkey::Base.PkgId, env::Nothing)
│        @ Base ./loading.jl:2466
│      [5] _require_prelocked
│        @ ./loading.jl:2460 [inlined]
│      [6] run_extension_callbacks(extid::Base.ExtensionId)
│        @ Base ./loading.jl:1580
│      [7] run_extension_callbacks(pkgid::Base.PkgId)
│        @ Base ./loading.jl:1617
│      [8] run_package_callbacks(modkey::Base.PkgId)
│        @ Base ./loading.jl:1433
│      [9] _require_prelocked(uuidkey::Base.PkgId, env::String)
│        @ Base ./loading.jl:2474
│     [10] macro expansion
│        @ ./loading.jl:2394 [inlined]
│     [11] macro expansion
│        @ ./lock.jl:376 [inlined]
│     [12] __require(into::Module, mod::Symbol)
│        @ Base ./loading.jl:2359
│     [13] require
│        @ ./loading.jl:2335 [inlined]
│     [14] __init__()
│        @ FluxCUDAExt ~/.julia/packages/Flux/9PibT/ext/FluxCUDAExt/FluxCUDAExt.jl:8
│     [15] run_module_init(mod::Module, i::Int64)
│        @ Base ./loading.jl:1416
│     [16] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
│        @ Base ./loading.jl:1404
│     [17] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool)
│        @ Base ./loading.jl:1292
│     [18] _include_from_serialized
│        @ ./loading.jl:1246 [inlined]
│     [19] _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:2088
│     [20] __require_prelocked(pkg::Base.PkgId, env::Nothing)
│        @ Base ./loading.jl:2600
│     [21] _require_prelocked(uuidkey::Base.PkgId, env::Nothing)
│        @ Base ./loading.jl:2466
│     [22] _require_prelocked
│        @ ./loading.jl:2460 [inlined]
│     [23] run_extension_callbacks(extid::Base.ExtensionId)
│        @ Base ./loading.jl:1580
│     [24] run_extension_callbacks(pkgid::Base.PkgId)
│        @ Base ./loading.jl:1617
│     [25] run_package_callbacks(modkey::Base.PkgId)
│        @ Base ./loading.jl:1433
│     [26] _require_prelocked(uuidkey::Base.PkgId, env::String)
│        @ Base ./loading.jl:2474
│     [27] macro expansion
│        @ ./loading.jl:2394 [inlined]
│     [28] macro expansion
│        @ ./lock.jl:376 [inlined]
│     [29] __require(into::Module, mod::Symbol)
│        @ Base ./loading.jl:2359
│     [30] require
│        @ ./loading.jl:2335 [inlined]
│     [31] eval_import_path
│        @ ./module.jl:36 [inlined]
│     [32] eval_import_path_all(at::Module, path::Expr, keyword::String)
│        @ Base ./module.jl:60
│     [33] _eval_using(to::Module, path::Expr)
│        @ Base ./module.jl:137
│     [34] top-level scope
│        @ ~/.julia/packages/MLJFlux/5eWpt/test/runtests.jl:14
│     [35] include(mapexpr::Function, mod::Module, _path::String)
│        @ Base ./Base.jl:310
│     [36] top-level scope
│        @ none:6
│     [37] eval(m::Module, e::Any)
│        @ Core ./boot.jl:489
│     [38] exec_options(opts::Base.JLOptions)
│        @ Base ./client.jl:290
│     [39] _start()
│        @ Base ./client.jl:557
└ @ Base loading.jl:1590
Precompiling packages...
  67008.7 ms  ✓ Metalhead → MetalheadCUDAExt
  1 dependency successfully precompiled in 69 seconds. 224 already precompiled.
Precompiling packages...
  15913.8 ms  ✓ StatisticalMeasures → ScientificTypesExt
  1 dependency successfully precompiled in 19 seconds. 137 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/YTfNv/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  3m36.3s

[ 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  1m18.0s
Test Summary: | Pass  Total  Time
metalhead     |    8      8  1.3s

[ 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  3m42.0s

[ Info: NeuralNetworkRegressor:
[ Info: acceleration = CPU1{Nothing}(nothing)
 13.030804 seconds (7.10 M allocations: 423.458 MiB, 1.26% gc time, 88.53% compilation time)
[ Info: acceleration = CUDALibs{Nothing}(nothing)

[ Info: MultitargetNeuralNetworkRegressor:
[ Info: acceleration = CPU1{Nothing}(nothing)
  3.685339 seconds (3.36 M allocations: 236.459 MiB, 2.15% gc time, 61.91% compilation time)
[ Info: acceleration = CUDALibs{Nothing}(nothing)
Test Summary: | Pass  Broken  Total     Time
regressor     |   46       2     48  1m35.0s

[ Info: NeuralNetworkClassifier:
[ Info: acceleration = CPU1{Nothing}(nothing)
  3.733213 seconds (2.74 M allocations: 204.387 MiB, 3.26% gc time, 69.01% compilation time)
[ Info: Training machine(NeuralNetworkClassifier(builder = MLP(hidden = (8,), …), …), …).

Optimising neural net:  67%[================>        ]  ETA: 0:00:00
Optimising neural net: 100%[=========================] Time: 0:00:00
[ 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)
  7.544363 seconds (7.45 M allocations: 403.168 MiB, 3.13% gc time, 96.64% compilation time)
[ Info: acceleration = CUDALibs{Nothing}(nothing)
Test Summary: | Pass  Broken  Total     Time
classifier    |   48       2     50  2m02.8s

[ Info: ImageClassifier basic tests:
[ Info: acceleration = CPU1{Nothing}(nothing)
  0.242766 seconds (192.40 k allocations: 39.849 MiB, 46.65% gc time)
[ Info: acceleration = CUDALibs{Nothing}(nothing)
[ Info: Losses for each computational resource: Any[0.003449572f0]

[ Info: ColorImages:
[ Info: acceleration = CPU1{Nothing}(nothing)
  0.310099 seconds (385.70 k allocations: 80.382 MiB, 15.67% 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
======================================================================================

cmd: /opt/julia/bin/julia 212 running 1 of 1

signal (10): User defined signal 1
_ZN4llvm5SUnit7addPredERKNS_4SDepEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17ScheduleDAGInstrs20addChainDependenciesEPNS_5SUnitERNS0_12Value2SUsMapENS_12PointerUnionIJPKNS_5ValueEPKNS_17PseudoSourceValueEEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17ScheduleDAGInstrs15buildSchedGraphEPNS_9AAResultsEPNS_18RegPressureTrackerEPNS_13PressureDiffsEPNS_13LiveIntervalsEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN12_GLOBAL__N_120SchedulePostRATDList8scheduleEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN12_GLOBAL__N_115PostRAScheduler20runOnMachineFunctionERN4llvm15MachineFunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm3orc14SimpleCompilerclERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
operator() at /source/src/jitlayers.cpp:1620
addModule at /source/src/jitlayers.cpp:2101
jl_compile_codeinst_now at /source/src/jitlayers.cpp:683
jl_compile_codeinst_impl at /source/src/jitlayers.cpp:883
jl_compile_method_internal at /source/src/gf.c:3212
_jl_invoke at /source/src/gf.c:3684 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
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/9PibT/src/gradient.jl:182 [inlined]
withgradient at /home/pkgeval/.julia/packages/Flux/9PibT/src/gradient.jl:169
unknown function (ip: 0x750cafbc8f6a) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
train_epoch at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:55
unknown function (ip: 0x750cafbc76d8) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
train at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:142
unknown function (ip: 0x750cafbc0bac) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
fit at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/mlj_model_interface.jl:116
unknown function (ip: 0x750cafb77a71) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2846
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
_include at ./loading.jl:2906
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_73930.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2846
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
_include at ./loading.jl:2906
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_73930.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
exec_options at ./client.jl:290
_start at ./client.jl:557
jfptr__start_33252.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
true_main at /source/src/jlapi.c:964
jl_repl_entrypoint at /source/src/jlapi.c:1132
main at /source/cli/loader_exe.c:58
unknown function (ip: 0x750ce94ed249) at /lib/x86_64-linux-gnu/libc.so.6
__libc_start_main at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
unknown function (ip: 0x4010b8) at /workspace/srcdir/glibc-2.17/csu/../sysdeps/x86_64/start.S
unknown function (ip: (nil)) at (unknown file)

==============================================================
Profile collected. A report will print at the next yield point
==============================================================


======================================================================================
Information request received. A stacktrace will print followed by a 1.0 second profile
======================================================================================

cmd: /opt/julia/bin/julia 1 running 0 of 1

signal (10): User defined signal 1
epoll_pwait at /lib/x86_64-linux-gnu/libc.so.6 (unknown line)
uv__io_poll at /workspace/srcdir/libuv/src/unix/linux.c:1404
uv_run at /workspace/srcdir/libuv/src/unix/core.c:430
ijl_task_get_next at /source/src/scheduler.c:457
wait at ./task.jl:1213
wait_forever at ./task.jl:1150
jfptr_wait_forever_62247.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
start_task at /source/src/task.c:1249
unknown function (ip: (nil)) at (unknown file)

==============================================================
Profile collected. A report will print at the next yield point
==============================================================

┌ Warning: There were no samples collected in one or more groups.
│ This may be due to idle threads, or you may need to run your
│ program longer (perhaps by running it multiple times),
│ or adjust the delay between samples with `Profile.init()`.
└ @ Profile /opt/julia/share/julia/stdlib/v1.13/Profile/src/Profile.jl:1362
Overhead ╎ [+additional indent] Count File:Line  Function
=========================================================
Thread 1 (default) Task 0x00007ce5d14a93c0 Total snapshots: 436. Utilization: 0%
   ╎436 @Base/task.jl:1150  wait_forever()
435╎ 436 @Base/task.jl:1213  wait()


[1] signal 15: Terminated
in expression starting at /PkgEval.jl/scripts/evaluate.jl:210
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

[212] signal 15: Terminated
in expression starting at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/test/image.jl:116
_ZN4llvm5SUnit7addPredERKNS_4SDepEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17ScheduleDAGInstrs20addChainDependenciesEPNS_5SUnitERNS0_12Value2SUsMapENS_12PointerUnionIJPKNS_5ValueEPKNS_17PseudoSourceValueEEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17ScheduleDAGInstrs15buildSchedGraphEPNS_9AAResultsEPNS_18RegPressureTrackerEPNS_13PressureDiffsEPNS_13LiveIntervalsEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17ScheduleDAGMILive23buildDAGWithRegPressureEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm17ScheduleDAGMILive8scheduleEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
wait at ./task.jl:1213
wait_forever at ./task.jl:1150
_ZN12_GLOBAL__N_120MachineSchedulerBase15scheduleRegionsERN4llvm17ScheduleDAGInstrsEb at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
jfptr_wait_forever_62247.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
start_task at /source/src/task.c:1249
unknown function (ip: (nil)) at (unknown file)
Allocations: 20486400 (Pool: 20485881; Big: 519); GC: 22
_ZN12_GLOBAL__N_116MachineScheduler20runOnMachineFunctionERN4llvm15MachineFunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm19MachineFunctionPass13runOnFunctionERNS_8FunctionE.part.0 at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm13FPPassManager13runOnFunctionERNS_8FunctionE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm13FPPassManager11runOnModuleERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm6legacy15PassManagerImpl3runERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
_ZN4llvm3orc14SimpleCompilerclERNS_6ModuleE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line)
operator() at /source/src/jitlayers.cpp:1620
addModule at /source/src/jitlayers.cpp:2101
jl_compile_codeinst_now at /source/src/jitlayers.cpp:683
jl_compile_codeinst_impl at /source/src/jitlayers.cpp:883
jl_compile_method_internal at /source/src/gf.c:3212
_jl_invoke at /source/src/gf.c:3684 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
withgradient at /home/pkgeval/.julia/packages/Zygote/55SqB/src/compiler/interface.jl:0
#withgradient#5 at /home/pkgeval/.julia/packages/Flux/9PibT/src/gradient.jl:182 [inlined]
withgradient at /home/pkgeval/.julia/packages/Flux/9PibT/src/gradient.jl:169
unknown function (ip: 0x750cafbc8f6a) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
train_epoch at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:55
unknown function (ip: 0x750cafbc76d8) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
train at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:142
unknown function (ip: 0x750cafbc0bac) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
fit at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/mlj_model_interface.jl:116
unknown function (ip: 0x750cafb77a71) at (unknown file)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2846
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
_include at ./loading.jl:2906
include at ./Base.jl:310
IncludeInto at ./Base.jl:311
jfptr_IncludeInto_73930.1 at /opt/julia/lib/julia/sys.so (unknown line)
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892
jl_apply at /source/src/julia.h:2343 [inlined]
do_call at /source/src/interpreter.c:123
eval_value at /source/src/interpreter.c:243
eval_stmt_value at /source/src/interpreter.c:194 [inlined]
eval_body at /source/src/interpreter.c:708
eval_body at /source/src/interpreter.c:558
eval_body at /source/src/interpreter.c:558
jl_interpret_toplevel_thunk at /source/src/interpreter.c:899
jl_toplevel_eval_flex at /source/src/toplevel.c:773
jl_toplevel_eval_flex at /source/src/toplevel.c:713
ijl_toplevel_eval at /source/src/toplevel.c:785
ijl_toplevel_eval_in at /source/src/toplevel.c:830
eval at ./boot.jl:489
include_string at ./loading.jl:2846
_jl_invoke at /source/src/gf.c:3692 [inlined]
ijl_apply_generic at /source/src/gf.c:3892

PkgEval terminated after 2736.18s: test duration exceeded the time limit