Package evaluation of cuTensorNet on Julia 1.13.0-DEV.943 (cce193b1aa*) started at 2025-08-02T09:21:07 ################################################################################ # Set-up # Set-up completed after 0.26s ################################################################################ # Installation # Installing cuTensorNet... Resolving package versions... Installed MacroTools ────────────────── v0.5.16 Installed LibTracyClient_jll ────────── v0.9.1+6 Installed Adapt ─────────────────────── v4.3.0 Installed InlineStrings ─────────────── v1.4.4 Installed LLVMExtra_jll ─────────────── v0.0.37+2 Installed NVTX ──────────────────────── v1.0.1 Installed DataStructures ────────────── v0.18.22 Installed GPUCompiler ───────────────── v1.6.1 Installed OrderedCollections ────────── v1.8.1 Installed cuQuantum_jll ─────────────── v25.3.0+0 Installed demumble_jll ──────────────── v1.3.0+0 Installed HashArrayMappedTries ──────── v0.2.0 Installed ExprTools ─────────────────── v0.1.10 Installed Random123 ─────────────────── v1.7.1 Installed Compat ────────────────────── v4.18.0 Installed cuTENSOR ──────────────────── v2.2.3 Installed NVTX_jll ──────────────────── v3.2.1+0 Installed IteratorInterfaceExtensions ─ v1.0.0 Installed CUTENSOR_jll ──────────────── v2.2.0+0 Installed DataAPI ───────────────────── v1.16.0 Installed Statistics ────────────────── v1.11.1 Installed InvertedIndices ───────────── v1.3.1 Installed CUDA ──────────────────────── v5.8.2 Installed CEnum ─────────────────────── v0.5.0 Installed Atomix ────────────────────── v1.1.1 Installed DataValueInterfaces ───────── v1.0.0 Installed PrecompileTools ───────────── v1.3.2 Installed GPUArrays ─────────────────── v11.2.3 Installed RandomNumbers ─────────────── v1.6.0 Installed Colors ────────────────────── v0.13.1 Installed cuTensorNet ───────────────── v1.3.3 Installed JuliaNVTXCallbacks_jll ────── v0.2.1+0 Installed SentinelArrays ────────────── v1.4.8 Installed CUDA_Runtime_jll ──────────── v0.17.1+0 Installed StaticArraysCore ──────────── v1.4.3 Installed CUDA_Runtime_Discovery ────── v0.3.5 Installed StaticArrays ──────────────── v1.9.14 Installed AbstractFFTs ──────────────── v1.5.0 Installed GPUArraysCore ─────────────── v0.2.0 Installed Tracy ─────────────────────── v0.1.5 Installed Requires ──────────────────── v1.3.1 Installed StringManipulation ────────── v0.4.1 Installed ColorTypes ────────────────── v0.12.1 Installed ScopedValues ──────────────── v1.4.0 Installed KernelAbstractions ────────── v0.9.38 Installed LLVM ──────────────────────── v9.4.2 Installed CUDA_Driver_jll ───────────── v0.13.1+0 Installed UnsafeAtomics ─────────────── v0.3.0 Installed Tables ────────────────────── v1.12.1 Installed PrettyTables ──────────────── v2.4.0 Installed GPUToolbox ────────────────── v0.2.0 Installed Reexport ──────────────────── v1.2.2 Installed Scratch ───────────────────── v1.3.0 Installed FixedPointNumbers ─────────── v0.8.5 Installed Missings ──────────────────── v1.2.0 Installed Preferences ───────────────── v1.4.3 Installed PooledArrays ──────────────── v1.4.3 Installed JLLWrappers ───────────────── v1.7.1 Installed TableTraits ───────────────── v1.0.1 Installed LaTeXStrings ──────────────── v1.4.0 Installed BFloat16s ─────────────────── v0.5.1 Installed DataFrames ────────────────── v1.7.0 Installed LLVMLoopInfo ──────────────── v1.0.0 Installed Crayons ───────────────────── v4.1.1 Installed SortingAlgorithms ─────────── v1.2.1 Installing 6 artifacts Installed artifact JuliaNVTXCallbacks 8.6 KiB Installed artifact NVTX 13.7 KiB Installed artifact demumble 322.0 KiB Installed artifact LibTracyClient 436.3 KiB Installed artifact LLVMExtra 3.2 MiB Installed artifact CUDA_Driver 70.8 MiB Updating `~/.julia/environments/v1.13/Project.toml` [448d79b3] + cuTensorNet v1.3.3 Updating `~/.julia/environments/v1.13/Manifest.toml` Precompiling packages... 3637.4 ms ✓ Preferences 981.0 ms ✓ JLLWrappers 2156.3 ms ✓ CUDA_Driver_jll 3 dependencies successfully precompiled in 7 seconds. 26 already precompiled. Precompiling packages... 6816.5 ms ✓ CUDA_Runtime_jll 1 dependency successfully precompiled in 7 seconds. 30 already precompiled. [621f4979] + AbstractFFTs v1.5.0 [79e6a3ab] + Adapt v4.3.0 [a9b6321e] + Atomix v1.1.1 [ab4f0b2a] + BFloat16s v0.5.1 [fa961155] + CEnum v0.5.0 [052768ef] + CUDA v5.8.2 ⌅ [1af6417a] + CUDA_Runtime_Discovery v0.3.5 [3da002f7] + ColorTypes v0.12.1 [5ae59095] + Colors v0.13.1 [34da2185] + Compat v4.18.0 [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 [e2ba6199] + ExprTools v0.1.10 [53c48c17] + FixedPointNumbers v0.8.5 [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 [842dd82b] + InlineStrings v1.4.4 [41ab1584] + InvertedIndices v1.3.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.1 [63c18a36] + KernelAbstractions v0.9.38 [929cbde3] + LLVM v9.4.2 [8b046642] + LLVMLoopInfo v1.0.0 [b964fa9f] + LaTeXStrings v1.4.0 [1914dd2f] + MacroTools v0.5.16 [e1d29d7a] + Missings v1.2.0 [5da4648a] + NVTX v1.0.1 [bac558e1] + OrderedCollections v1.8.1 [2dfb63ee] + PooledArrays v1.4.3 [aea7be01] + PrecompileTools v1.3.2 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [74087812] + Random123 v1.7.1 [e6cf234a] + RandomNumbers v1.6.0 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [7e506255] + ScopedValues v1.4.0 [6c6a2e73] + Scratch v1.3.0 [91c51154] + SentinelArrays v1.4.8 [a2af1166] + SortingAlgorithms v1.2.1 [90137ffa] + StaticArrays v1.9.14 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [892a3eda] + StringManipulation v0.4.1 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.1 [e689c965] + Tracy v0.1.5 [013be700] + UnsafeAtomics v0.3.0 [011b41b2] + cuTENSOR v2.2.3 [448d79b3] + cuTensorNet v1.3.3 ⌅ [4ee394cb] + CUDA_Driver_jll v0.13.1+0 ⌅ [76a88914] + CUDA_Runtime_jll v0.17.1+0 [35b6c64b] + CUTENSOR_jll v2.2.0+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 [b75408ef] + cuQuantum_jll v25.3.0+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 [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 [ca575930] + NetworkOptions v1.3.0 [44cfe95a] + Pkg v1.13.0 [de0858da] + Printf v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [2f01184e] + SparseArrays v1.13.0 [f489334b] + StyledStrings v1.11.0 [fa267f1f] + TOML v1.0.3 [a4e569a6] + Tar v1.10.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.3.0+1 [deac9b47] + LibCURL_jll v8.15.0+0 [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 [458c3c95] + OpenSSL_jll v3.5.1+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 ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 42.45s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... No packages added to or removed from `~/.julia/environments/pkgeval/Project.toml` No packages added to or removed from `~/.julia/environments/pkgeval/Manifest.toml` Precompiling package dependencies... Precompiling packages... 1008.0 ms ✓ Preferences 1643.0 ms ✓ JLLWrappers 1400.4 ms ✓ CUDA_Driver_jll 5020.0 ms ✓ CUDA_Runtime_jll 4 dependencies successfully precompiled in 9 seconds. 27 already precompiled. Precompiling packages... 1032.5 ms ✓ HashArrayMappedTries 4483.6 ms ✓ MacroTools 1536.2 ms ✓ OrderedCollections 949.1 ms ✓ IteratorInterfaceExtensions 851.5 ms ✓ CEnum 1835.1 ms ✓ Crayons 1107.5 ms ✓ Statistics 900.5 ms ✓ StaticArraysCore 858.5 ms ✓ Reexport 1773.8 ms ✓ CUDA_Runtime_Discovery 1637.2 ms ✓ RandomNumbers 833.2 ms ✓ DataAPI 746.6 ms ✓ DataValueInterfaces 1027.1 ms ✓ AbstractFFTs 1732.6 ms ✓ InlineStrings 933.2 ms ✓ ExprTools 867.3 ms ✓ LaTeXStrings 765.1 ms ✓ LLVMLoopInfo 867.4 ms ✓ InvertedIndices 861.3 ms ✓ GPUToolbox 3906.6 ms ✓ UnsafeAtomics 1133.7 ms ✓ Requires 1149.1 ms ✓ BFloat16s 4059.1 ms ✓ SentinelArrays 1010.2 ms ✓ Scratch 1206.2 ms ✓ Compat 995.1 ms ✓ PrecompileTools 1468.6 ms ✓ NVTX_jll 1443.5 ms ✓ LibTracyClient_jll 1458.9 ms ✓ JuliaNVTXCallbacks_jll 5803.3 ms ✓ LLVMExtra_jll 1536.1 ms ✓ demumble_jll 6224.6 ms ✓ CUTENSOR_jll 880.0 ms ✓ ScopedValues 775.4 ms ✓ TableTraits 1317.5 ms ✓ Statistics → SparseArraysExt 4089.7 ms ✓ FixedPointNumbers 1905.8 ms ✓ Random123 1013.7 ms ✓ PooledArrays 968.6 ms ✓ Missings 1023.4 ms ✓ Atomix 923.6 ms ✓ Adapt 881.1 ms ✓ Compat → CompatLinearAlgebraExt 13564.7 ms ✓ StaticArrays 3314.7 ms ✓ StringManipulation 2558.0 ms ✓ Tracy 20406.1 ms ✓ LLVM 6061.8 ms ✓ cuQuantum_jll 1782.8 ms ✓ Tables 2766.3 ms ✓ ColorTypes 1109.2 ms ✓ GPUArraysCore 1230.0 ms ✓ Adapt → AdaptSparseArraysExt 3992.6 ms ✓ DataStructures 1435.0 ms ✓ StaticArrays → StaticArraysStatisticsExt 1371.0 ms ✓ Adapt → AdaptStaticArraysExt 5324.4 ms ✓ LLVM → BFloat16sExt 78901.6 ms ✓ GPUCompiler 8530.9 ms ✓ UnsafeAtomics → UnsafeAtomicsLLVM 28705.2 ms ✓ PrettyTables 8196.7 ms ✓ Colors 1271.7 ms ✓ ColorTypes → StyledStringsExt 1701.8 ms ✓ SortingAlgorithms 8772.9 ms ✓ KernelAbstractions 2988.1 ms ✓ NVTX 84219.0 ms ✓ DataFrames 3056.0 ms ✓ KernelAbstractions → SparseArraysExt 2200.9 ms ✓ KernelAbstractions → LinearAlgebraExt 15737.6 ms ✓ GPUArrays ✗ CUDA ✗ Atomix → AtomixCUDAExt ✗ cuTENSOR ✗ cuTensorNet 68 dependencies successfully precompiled in 878 seconds. 36 already precompiled. ERROR: LoadError: The following 1 direct dependency failed to precompile: cuTensorNet Failed to precompile cuTensorNet [448d79b3-4b49-4e06-a5ea-00c62c0dc3db] to "/home/pkgeval/.julia/compiled/v1.13/cuTensorNet/jl_li90Dh" (ProcessExited(1)). 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`. ERROR: LoadError: TypeError: in ccall function name, expected Symbol, got a value of type Expr Stacktrace: [1] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [3] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:57 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [5] top-level scope @ ~/.julia/packages/CUDA/ja0IX/src/CUDA.jl:132 [6] include(mod::Module, _path::String) @ Base ./Base.jl:311 [7] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) @ Base ./loading.jl:3002 [8] top-level scope @ stdin:5 [9] eval(m::Module, e::Any) @ Core ./boot.jl:489 [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [11] include_string @ ./loading.jl:2858 [inlined] [12] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [13] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:1 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/src/CUDA.jl:1 in expression starting at stdin:5 ERROR: LoadError: Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/pkgeval/.julia/compiled/v1.13/CUDA/jl_KwIoM1" (ProcessExited(1)). Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing) @ Base ./loading.jl:3289 [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool) @ Base ./loading.jl:3167 [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})() @ Base ./loading.jl:2654 [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94 [6] #mkpidlock#7 @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined] [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115 [8] #invokelatest_gr#235 @ ./reflection.jl:1333 [inlined] [9] invokelatest_gr @ ./reflection.jl:1325 [inlined] [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64) @ Base ./loading.jl:3860 [11] maybe_cachefile_lock @ ./loading.jl:3857 [inlined] [12] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2640 [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2468 [14] macro expansion @ ./loading.jl:2396 [inlined] [15] macro expansion @ ./lock.jl:376 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2360 [17] require @ ./loading.jl:2336 [inlined] [18] eval_import_path @ ./module.jl:36 [inlined] [19] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [20] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [21] top-level scope @ ~/.julia/packages/cuTensorNet/huhYL/src/cuTensorNet.jl:4 [22] include(mod::Module, _path::String) @ Base ./Base.jl:311 [23] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:3002 [24] top-level scope @ stdin:5 [25] eval(m::Module, e::Any) @ Core ./boot.jl:489 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [27] include_string @ ./loading.jl:2858 [inlined] [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [29] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/cuTensorNet/huhYL/src/cuTensorNet.jl:1 in expression starting at stdin: in expression starting at /PkgEval.jl/scripts/precompile.jl:37 Precompilation failed after 898.04s ################################################################################ # Loading # Loading cuTensorNet... Precompiling packages... ✗ CUDA ✗ Atomix → AtomixCUDAExt ✗ cuTENSOR Info Given cuTensorNet 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`. ERROR: LoadError: TypeError: in ccall function name, expected Symbol, got a value of type Expr Stacktrace:  [1] top-level scope  @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671  [2] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:312  [3] top-level scope  @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:57  [4] include(mapexpr::Function, mod::Module, _path::String)  @ Base ./Base.jl:312  [5] top-level scope  @ ~/.julia/packages/CUDA/ja0IX/src/CUDA.jl:132  [6] include(mod::Module, _path::String)  @ Base ./Base.jl:311  [7] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String)  @ Base ./loading.jl:3002  [8] top-level scope  @ stdin:5  [9] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2848  [11] include_string  @ ./loading.jl:2858 [inlined]  [12] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:318  [13] _start()  @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:1 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/src/CUDA.jl:1 in expression starting at stdin:5 ERROR: LoadError: Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/pkgeval/.julia/compiled/v1.13/CUDA/jl_FGtsbR" (ProcessExited(1)). Stacktrace:  [1] error(s::String)  @ Base ./error.jl:44  [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing)  @ Base ./loading.jl:3289  [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool)  @ Base ./loading.jl:3167  [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})()  @ Base ./loading.jl:2654  [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool})  @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94  [6] #mkpidlock#7  @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined]  [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64})  @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115  [8] #invokelatest_gr#235  @ ./reflection.jl:1333 [inlined]  [9] invokelatest_gr  @ ./reflection.jl:1325 [inlined]  [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64)  @ Base ./loading.jl:3860  [11] maybe_cachefile_lock  @ ./loading.jl:3857 [inlined]  [12] __require_prelocked(pkg::Base.PkgId, env::String)  @ Base ./loading.jl:2640  [13] _require_prelocked(uuidkey::Base.PkgId, env::String)  @ Base ./loading.jl:2468  [14] macro expansion  @ ./loading.jl:2396 [inlined]  [15] macro expansion  @ ./lock.jl:376 [inlined]  [16] __require(into::Module, mod::Symbol)  @ Base ./loading.jl:2360  [17] require  @ ./loading.jl:2336 [inlined]  [18] eval_import_path  @ ./module.jl:36 [inlined]  [19] eval_import_path_all(at::Module, path::Expr, keyword::String)  @ Base ./module.jl:60  [20] _eval_using(to::Module, path::Expr)  @ Base ./module.jl:137  [21] top-level scope  @ ~/.julia/packages/cuTensorNet/huhYL/src/cuTensorNet.jl:4  [22] include(mod::Module, _path::String)  @ Base ./Base.jl:311  [23] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)  @ Base ./loading.jl:3002  [24] top-level scope  @ stdin:5  [25] eval(m::Module, e::Any)  @ Core ./boot.jl:489  [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String)  @ Base ./loading.jl:2848  [27] include_string  @ ./loading.jl:2858 [inlined]  [28] exec_options(opts::Base.JLOptions)  @ Base ./client.jl:318  [29] _start()  @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/cuTensorNet/huhYL/src/cuTensorNet.jl:1 in expression starting at stdin:5 ✗ cuTensorNet 0 dependencies successfully precompiled in 416 seconds. 104 already precompiled. ERROR: The following 1 direct dependency failed to precompile: cuTensorNet Failed to precompile cuTensorNet [448d79b3-4b49-4e06-a5ea-00c62c0dc3db] to "/home/pkgeval/.julia/compiled/v1.13/cuTensorNet/jl_hLowfg" (ProcessExited(1)). 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`. ERROR: LoadError: TypeError: in ccall function name, expected Symbol, got a value of type Expr Stacktrace: [1] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 [2] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [3] top-level scope @ ~/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:57 [4] include(mapexpr::Function, mod::Module, _path::String) @ Base ./Base.jl:312 [5] top-level scope @ ~/.julia/packages/CUDA/ja0IX/src/CUDA.jl:132 [6] include(mod::Module, _path::String) @ Base ./Base.jl:311 [7] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::String) @ Base ./loading.jl:3002 [8] top-level scope @ stdin:5 [9] eval(m::Module, e::Any) @ Core ./boot.jl:489 [10] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [11] include_string @ ./loading.jl:2858 [inlined] [12] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [13] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/libnvml.jl:1671 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/lib/nvml/NVML.jl:1 in expression starting at /home/pkgeval/.julia/packages/CUDA/ja0IX/src/CUDA.jl:1 in expression starting at stdin:5 ERROR: LoadError: Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/pkgeval/.julia/compiled/v1.13/CUDA/jl_FGtsbR" (ProcessExited(1)). Stacktrace: [1] error(s::String) @ Base ./error.jl:44 [2] compilecache(pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool; flags::Cmd, cacheflags::Base.CacheFlags, reasons::Dict{String, Int64}, loadable_exts::Nothing) @ Base ./loading.jl:3289 [3] kwcall(::@NamedTuple{reasons::Dict{String, Int64}, loadable_exts::Nothing}, ::typeof(Base.compilecache), pkg::Base.PkgId, path::String, internal_stderr::IO, internal_stdout::IO, keep_loaded_modules::Bool) @ Base ./loading.jl:3167 [4] (::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId})() @ Base ./loading.jl:2654 [5] mkpidlock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, at::String, pid::Int32; kwopts::@Kwargs{stale_age::Int64, wait::Bool}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:94 [6] #mkpidlock#7 @ /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:89 [inlined] [7] trymkpidlock(::Function, ::Vararg{Any}; kwargs::@Kwargs{stale_age::Int64}) @ FileWatching.Pidfile /opt/julia/share/julia/stdlib/v1.13/FileWatching/src/pidfile.jl:115 [8] #invokelatest_gr#235 @ ./reflection.jl:1333 [inlined] [9] invokelatest_gr @ ./reflection.jl:1325 [inlined] [10] maybe_cachefile_lock(f::Base.var"#__require_prelocked##0#__require_prelocked##1"{Base.PkgId}, pkg::Base.PkgId, srcpath::String; stale_age::Int64) @ Base ./loading.jl:3860 [11] maybe_cachefile_lock @ ./loading.jl:3857 [inlined] [12] __require_prelocked(pkg::Base.PkgId, env::String) @ Base ./loading.jl:2640 [13] _require_prelocked(uuidkey::Base.PkgId, env::String) @ Base ./loading.jl:2468 [14] macro expansion @ ./loading.jl:2396 [inlined] [15] macro expansion @ ./lock.jl:376 [inlined] [16] __require(into::Module, mod::Symbol) @ Base ./loading.jl:2360 [17] require @ ./loading.jl:2336 [inlined] [18] eval_import_path @ ./module.jl:36 [inlined] [19] eval_import_path_all(at::Module, path::Expr, keyword::String) @ Base ./module.jl:60 [20] _eval_using(to::Module, path::Expr) @ Base ./module.jl:137 [21] top-level scope @ ~/.julia/packages/cuTensorNet/huhYL/src/cuTensorNet.jl:4 [22] include(mod::Module, _path::String) @ Base ./Base.jl:311 [23] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing) @ Base ./loading.jl:3002 [24] top-level scope @ stdin:5 [25] eval(m::Module, e::Any) @ Core ./boot.jl:489 [26] include_string(mapexpr::typeof(identity), mod::Module, code::String, filename::String) @ Base ./loading.jl:2848 [27] include_string @ ./loading.jl:2858 [inlined] [28] exec_options(opts::Base.JLOptions) @ Base ./client.jl:318 [29] _start() @ Base ./client.jl:553 in expression starting at /home/pkgeval/.julia/packages/cuTensorNet/huhYL/src/cuTensorNet.jl:1 in expression starting at stdin: Loading failed after 410.59s ERROR: LoadError: failed process: Process(`/opt/julia/bin/julia -C native -J/opt/julia/lib/julia/sys.so -g1 --check-bounds=yes --inline=yes --pkgimages=existing -e 'using cuTensorNet'`, ProcessExited(1)) [1] Stacktrace: [1] pipeline_error @ ./process.jl:602 [inlined] [2] run(::Cmd; wait::Bool) @ Base ./process.jl:517 [3] run(::Cmd) @ Base ./process.jl:514 [4] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:193 [5] include(mod::Module, _path::String) @ Base ./Base.jl:311 [6] exec_options(opts::Base.JLOptions) @ Base ./client.jl:320 [7] _start() @ Base ./client.jl:553 in expression starting at /PkgEval.jl/scripts/evaluate.jl:184 PkgEval failed after 1397.29s: package fails to precompile