Package evaluation of MLJFlux on Julia 1.13.0-DEV.985 (9c94e7ae32*) started at 2025-08-15T01:19:01.329 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 9.6s ################################################################################ # 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 v0.19.0 [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 v0.16.5 [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 v1.7.1 [b14d175d] + JuliaVariables v0.2.4 [63c18a36] + KernelAbstractions v0.9.38 [2ab3a3ac] + LogExpFunctions v0.3.29 [c2834f40] + MLCore v1.0.0 [7e8f7934] + MLDataDevices v1.11.1 [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 v1.3.2 [21216c6a] + Preferences v1.5.0 [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 v1.4.0 [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 v1.9.14 [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 v0.4.84 [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 v1.13.0 [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 v8.15.0+1 [e37daf67] + LibGit2_jll v1.9.1+0 [29816b5a] + LibSSH2_jll v1.11.3+1 [14a3606d] + MozillaCACerts_jll v2025.7.15 [4536629a] + OpenBLAS_jll v0.3.29+0 [05823500] + OpenLibm_jll v0.8.5+0 [458c3c95] + OpenSSL_jll v3.5.2+0 [efcefdf7] + PCRE2_jll v10.45.0+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 v1.65.0+0 [3f19e933] + p7zip_jll v17.5.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 4.53s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 1487.54s ################################################################################ # Testing # Testing MLJFlux Status `/tmp/jl_7Cq5Cr/Project.toml` ⌃ [052768ef] CUDA v5.8.2 ⌅ [324d7699] CategoricalArrays v0.10.8 [3da002f7] ColorTypes v0.12.1 [ed09eef8] ComputationalResources v0.3.2 [587475ba] Flux v0.16.5 ⌃ [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 v1.10.4 [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 v1.4.3 [37e2e46d] LinearAlgebra v1.13.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_7Cq5Cr/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 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[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... 5937.3 ms ✓ MLDataDevices → MLDataDevicesChainRulesExt 65669.9 ms ✓ Zygote 6217.5 ms ✓ MLDataDevices → MLDataDevicesMLUtilsExt 5696.3 ms ✓ MLDataDevices → MLDataDevicesZygoteExt 24623.5 ms ✓ Flux 26791.8 ms ✓ Metalhead 29419.2 ms ✓ MLJFlux 7 dependencies successfully precompiled in 167 seconds. 182 already precompiled. Precompiling packages... 85334.4 ms ✓ DataFrames 2944.3 ms ✓ NVTX 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`. 131787.8 ms ✓ CUDA 41639.8 ms ✓ Atomix → AtomixCUDAExt 4 dependencies successfully precompiled in 264 seconds. 104 already precompiled. 1 dependency had output during precompilation: ┌ CUDA │ [Output was shown above] └ Precompiling packages... 10213.5 ms ✓ MLDataDevices → MLDataDevicesGPUArraysExt 1 dependency successfully precompiled in 11 seconds. 61 already precompiled. Precompiling packages... 13062.9 ms ✓ Zygote → ZygoteColorsExt 1 dependency successfully precompiled in 14 seconds. 71 already precompiled. Precompiling packages... 13914.7 ms ✓ BangBang → BangBangDataFramesExt 1 dependency successfully precompiled in 15 seconds. 49 already precompiled. Precompiling packages... 12622.0 ms ✓ Transducers → TransducersDataFramesExt 1 dependency successfully precompiled in 14 seconds. 65 already precompiled. Precompiling packages... 43113.0 ms ✓ CUDA → ChainRulesCoreExt 46413.9 ms ✓ NNlib → NNlibCUDAExt 2 dependencies successfully precompiled in 93 seconds. 113 already precompiled. Precompiling packages... 45879.9 ms ✓ MLDataDevices → MLDataDevicesCUDAExt 1 dependency successfully precompiled in 48 seconds. 115 already precompiled. Precompiling packages... 54075.1 ms ✓ cuDNN 1 dependency successfully precompiled in 56 seconds. 109 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`. 49875.8 ms ✓ NNlib → NNlibCUDACUDNNExt 1 dependency successfully precompiled in 52 seconds. 117 already precompiled. 1 dependency had output during precompilation: ┌ NNlib → NNlibCUDACUDNNExt │ [Output was shown above] └ Precompiling packages... 48079.4 ms ✓ MLDataDevices → MLDataDevicescuDNNExt 1 dependency successfully precompiled in 50 seconds. 118 already precompiled. Precompiling packages... 45060.1 ms ✓ CUDA → EnzymeCoreExt 45415.2 ms ✓ CUDA → SpecialFunctionsExt 60448.9 ms ✓ Flux → FluxCUDAcuDNNExt 3 dependencies successfully precompiled in 155 seconds. 224 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_prelocked(pkg::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2618 │ [4] _require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2484 │ [5] _require_prelocked │ @ ./loading.jl:2478 [inlined] │ [6] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base ./loading.jl:1581 │ [7] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base ./loading.jl:1618 │ [8] run_package_callbacks(modkey::Base.PkgId) │ @ Base ./loading.jl:1434 │ [9] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2492 │ [10] macro expansion │ @ ./loading.jl:2412 [inlined] │ [11] macro expansion │ @ ./lock.jl:376 [inlined] │ [12] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [13] require │ @ ./loading.jl:2352 [inlined] │ [14] __init__() │ @ FluxCUDAExt ~/.julia/packages/Flux/uRn8o/ext/FluxCUDAExt/FluxCUDAExt.jl:8 │ [15] run_module_init(mod::Module, i::Int64) │ @ Base ./loading.jl:1417 │ [16] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String) │ @ Base ./loading.jl:1405 │ [17] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::Nothing, depmods::Vector{Any}; register::Bool) │ @ Base ./loading.jl:1293 │ [18] _include_from_serialized │ @ ./loading.jl:1247 [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:2105 │ [20] __require_prelocked(pkg::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2618 │ [21] _require_prelocked(uuidkey::Base.PkgId, env::Nothing) │ @ Base ./loading.jl:2484 │ [22] _require_prelocked │ @ ./loading.jl:2478 [inlined] │ [23] run_extension_callbacks(extid::Base.ExtensionId) │ @ Base ./loading.jl:1581 │ [24] run_extension_callbacks(pkgid::Base.PkgId) │ @ Base ./loading.jl:1618 │ [25] run_package_callbacks(modkey::Base.PkgId) │ @ Base ./loading.jl:1434 │ [26] _require_prelocked(uuidkey::Base.PkgId, env::String) │ @ Base ./loading.jl:2492 │ [27] macro expansion │ @ ./loading.jl:2412 [inlined] │ [28] macro expansion │ @ ./lock.jl:376 [inlined] │ [29] __require(into::Module, mod::Symbol) │ @ Base ./loading.jl:2376 │ [30] require │ @ ./loading.jl:2352 [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:309 │ [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:296 │ [39] _start() │ @ Base ./client.jl:563 └ @ Base loading.jl:1591 Precompiling packages... 68601.3 ms ✓ Metalhead → MetalheadCUDAExt 1 dependency successfully precompiled in 73 seconds. 228 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/Si8Pa/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 ====================================================================================== Information request received. A stacktrace will print followed by a 1.0 second profile ====================================================================================== cmd: /opt/julia/bin/julia 343 running 1 of 1 signal (10): User defined signal 1 _ZNK4llvm5Value30assertModuleIsMaterializedImplEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm26isInstructionTriviallyDeadEPNS_11InstructionEPKNS_17TargetLibraryInfoE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm16InstCombinerImpl3runEv at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZL31combineInstructionsOverFunctionRN4llvm8FunctionERNS_19InstructionWorklistEPNS_9AAResultsERNS_15AssumptionCacheERNS_17TargetLibraryInfoERNS_19TargetTransformInfoERNS_13DominatorTreeERNS_25OptimizationRemarkEmitterEPNS_18BlockFrequencyInfoEPNS_21BranchProbabilityInfoEPNS_18ProfileSummaryInfoERKNS_18InstCombineOptionsE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) _ZN4llvm15InstCombinePass3runERNS_8FunctionERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_8FunctionENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm27ModuleToFunctionPassAdaptor3runERNS_6ModuleERNS_15AnalysisManagerIS1_JEEE at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/usr/include/llvm/IR/PassManagerInternal.h:91 _ZN4llvm11PassManagerINS_6ModuleENS_15AnalysisManagerIS1_JEEEJEE3runERS1_RS3_ at /opt/julia/bin/../lib/julia/libLLVM.so.20.1jl (unknown line) run at /source/src/pipeline.cpp:791 operator() at /source/src/jitlayers.cpp:1510 withModuleDo<(anonymous namespace)::sizedOptimizerT::operator()(llvm::orc::ThreadSafeModule) [with long unsigned int N = 4]:: > at /source/usr/include/llvm/ExecutionEngine/Orc/ThreadSafeModule.h:136 [inlined] operator() at /source/src/jitlayers.cpp:1471 [inlined] operator() at /source/src/jitlayers.cpp:1623 [inlined] addModule at /source/src/jitlayers.cpp:2080 jl_compile_codeinst_now at /source/src/jitlayers.cpp:682 jl_compile_codeinst_impl at /source/src/jitlayers.cpp:873 jl_compile_method_internal at /source/src/gf.c:3527 _jl_invoke at /source/src/gf.c:4007 [inlined] ijl_apply_generic at /source/src/gf.c:4212 reformat at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:196 collate at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/src/core.jl:281 unknown function (ip: 0x7cfaf033f555) at (unknown file) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] do_call at /source/src/interpreter.c:123 eval_value at /source/src/interpreter.c:243 eval_body at /source/src/interpreter.c:581 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:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61437.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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:2863 _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 _include at ./loading.jl:2923 include at ./Base.jl:309 IncludeInto at ./Base.jl:310 jfptr_IncludeInto_61437.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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:296 _start at ./client.jl:563 jfptr__start_47667.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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: 0x7cfb2836b249) 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:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_73644.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [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 ============================================================== ┌ 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 0x000070eeb5509690 Total snapshots: 413. Utilization: 0% ╎413 @Base/task.jl:1129 wait_forever() 412╎ 413 @Base/task.jl:1192 wait() [ Info: train and dropout: [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 wait at ./task.jl:1192 wait_forever at ./task.jl:1129 jfptr_wait_forever_73644.1 at /opt/julia/lib/julia/sys.so (unknown line) _jl_invoke at /source/src/gf.c:4015 [inlined] ijl_apply_generic at /source/src/gf.c:4212 jl_apply at /source/src/julia.h:2376 [inlined] start_task at /source/src/task.c:1253 unknown function (ip: (nil)) at (unknown file) Allocations: 21133170 (Pool: 21132628; Big: 542); GC: 23 [343] signal 15: Terminated in expression starting at /home/pkgeval/.julia/packages/MLJFlux/5eWpt/test/core.jl:111 posix_memalign at /lib/x86_64-linux-gnu/libc.so.6 (unknown line) unknown function (ip: (nil)) at (unknown file) Allocations: 89894250 (Pool: 89892544; Big: 1706); GC: 116 [ Info: acceleration = CPU1{Nothing}(nothing) PkgEval terminated after 2727.76s: test duration exceeded the time limit