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CUDA triggers long Circular dependency list #2586

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smarras79 opened this issue Dec 10, 2024 · 2 comments
Closed

CUDA triggers long Circular dependency list #2586

smarras79 opened this issue Dec 10, 2024 · 2 comments
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bug Something isn't working

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@smarras79
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Describe the bug

Hi.
The latest update of CUDA.jl triggers Warning: Circular dependency detected. Precompilation will be skipped for: against a long list of other packages. I posted the full warning below.

To reproduce

The Minimal Working Example (MWE) for this bug:

] instantiate
Manifest.toml

I paste the parts of the Manifest related to CUDA:


[[deps.ArrayInterface]]
deps = ["Adapt", "LinearAlgebra"]
git-tree-sha1 = "d5140b60b87473df18cf4fe66382b7c3596df047"
uuid = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
version = "7.17.1"

    [deps.ArrayInterface.extensions]
    ArrayInterfaceBandedMatricesExt = "BandedMatrices"
    ArrayInterfaceBlockBandedMatricesExt = "BlockBandedMatrices"
    ArrayInterfaceCUDAExt = "CUDA"
    ArrayInterfaceCUDSSExt = "CUDSS"
    ArrayInterfaceChainRulesCoreExt = "ChainRulesCore"
    ArrayInterfaceChainRulesExt = "ChainRules"
    ArrayInterfaceGPUArraysCoreExt = "GPUArraysCore"
    ArrayInterfaceReverseDiffExt = "ReverseDiff"
    ArrayInterfaceSparseArraysExt = "SparseArrays"
    ArrayInterfaceStaticArraysCoreExt = "StaticArraysCore"
    ArrayInterfaceTrackerExt = "Tracker"

    [deps.ArrayInterface.weakdeps]
    BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
    BlockBandedMatrices = "ffab5731-97b5-5995-9138-79e8c1846df0"
    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
    CUDSS = "45b445bb-4962-46a0-9369-b4df9d0f772e"
    ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
    GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
    ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
    SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
    StaticArraysCore = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
    Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"

[[deps.Atomix]]
deps = ["UnsafeAtomics"]
git-tree-sha1 = "c3b238aa28c1bebd4b5ea4988bebf27e9a01b72b"
uuid = "a9b6321e-bd34-4604-b9c9-b65b8de01458"
version = "1.0.1"

    [deps.Atomix.extensions]
    AtomixCUDAExt = "CUDA"
    AtomixMetalExt = "Metal"
    AtomixoneAPIExt = "oneAPI"

    [deps.Atomix.weakdeps]
    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
    Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
    oneAPI = "8f75cd03-7ff8-4ecb-9b8f-daf728133b1b"


[[deps.CUDA]]
deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CUDA_Driver_jll", "CUDA_Runtime_Discovery", "CUDA_Runtime_jll", "Crayons", "DataFrames", "ExprTools", "GPUArrays", "GPUCompiler", "KernelAbstractions", "LLVM", "LLVMLoopInfo", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "NVTX", "Preferences", "PrettyTables", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "StaticArrays", "Statistics", "demumble_jll"]
git-tree-sha1 = "e0725a467822697171af4dae15cec10b4fc19053"
uuid = "052768ef-5323-5732-b1bb-66c8b64840ba"
version = "5.5.2"
weakdeps = ["ChainRulesCore", "EnzymeCore", "SpecialFunctions"]

    [deps.CUDA.extensions]
    ChainRulesCoreExt = "ChainRulesCore"
    EnzymeCoreExt = "EnzymeCore"
    SpecialFunctionsExt = "SpecialFunctions"

[[deps.CUDA_Driver_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
git-tree-sha1 = "14996d716a2eaaeccfc8d7bc854dd87fde720ac1"
uuid = "4ee394cb-3365-5eb0-8335-949819d2adfc"
version = "0.10.4+0"

[[deps.CUDA_Runtime_Discovery]]
deps = ["Libdl"]
git-tree-sha1 = "33576c7c1b2500f8e7e6baa082e04563203b3a45"
uuid = "1af6417a-86b4-443c-805f-a4643ffb695f"
version = "0.3.5"

[[deps.CUDA_Runtime_jll]]
deps = ["Artifacts", "CUDA_Driver_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "TOML"]
git-tree-sha1 = "17f1536c600133f7c4113bae0a2d98dbf27c7ebc"
uuid = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"
version = "0.15.5+0"


[[deps.DiffEqBase]]
deps = ["ArrayInterface", "ConcreteStructs", "DataStructures", "DocStringExtensions", "EnumX", "EnzymeCore", "FastBroadcast", "FastClosures", "FastPower", "ForwardDiff", "FunctionWrappers", "FunctionWrappersWrappers", "LinearAlgebra", "Logging", "Markdown", "MuladdMacro", "Parameters", "PreallocationTools", "PrecompileTools", "Printf", "RecursiveArrayTools", "Reexport", "SciMLBase", "SciMLOperators", "SciMLStructures", "Setfield", "Static", "StaticArraysCore", "Statistics", "TruncatedStacktraces"]
git-tree-sha1 = "b7dbeaa770bad0980ddddf606de814cff2acb3bc"
uuid = "2b5f629d-d688-5b77-993f-72d75c75574e"
version = "6.160.0"

    [deps.DiffEqBase.extensions]
    DiffEqBaseCUDAExt = "CUDA"
    DiffEqBaseChainRulesCoreExt = "ChainRulesCore"
    DiffEqBaseDistributionsExt = "Distributions"
    DiffEqBaseEnzymeExt = ["ChainRulesCore", "Enzyme"]
    DiffEqBaseGeneralizedGeneratedExt = "GeneralizedGenerated"
    DiffEqBaseMPIExt = "MPI"
    DiffEqBaseMeasurementsExt = "Measurements"
    DiffEqBaseMonteCarloMeasurementsExt = "MonteCarloMeasurements"
    DiffEqBaseReverseDiffExt = "ReverseDiff"
    DiffEqBaseSparseArraysExt = "SparseArrays"
    DiffEqBaseTrackerExt = "Tracker"
    DiffEqBaseUnitfulExt = "Unitful"

    [deps.DiffEqBase.weakdeps]
    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
    Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
    Enzyme = "7da242da-08ed-463a-9acd-ee780be4f1d9"
    GeneralizedGenerated = "6b9d7cbe-bcb9-11e9-073f-15a7a543e2eb"
    MPI = "da04e1cc-30fd-572f-bb4f-1f8673147195"
    Measurements = "eff96d63-e80a-5855-80a2-b1b0885c5ab7"
    MonteCarloMeasurements = "0987c9cc-fe09-11e8-30f0-b96dd679fdca"
    ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
    SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
    Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
    Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"


[[deps.LinearSolve]]
deps = ["ArrayInterface", "ChainRulesCore", "ConcreteStructs", "DocStringExtensions", "EnumX", "FastLapackInterface", "GPUArraysCore", "InteractiveUtils", "KLU", "Krylov", "LazyArrays", "Libdl", "LinearAlgebra", "MKL_jll", "Markdown", "PrecompileTools", "Preferences", "RecursiveFactorization", "Reexport", "SciMLBase", "SciMLOperators", "Setfield", "SparseArrays", "Sparspak", "StaticArraysCore", "UnPack"]
git-tree-sha1 = "9d5872d134bd33dd3e120767004f760770958863"
uuid = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
version = "2.38.0"

    [deps.LinearSolve.extensions]
    LinearSolveBandedMatricesExt = "BandedMatrices"
    LinearSolveBlockDiagonalsExt = "BlockDiagonals"
    LinearSolveCUDAExt = "CUDA"
    LinearSolveCUDSSExt = "CUDSS"
    LinearSolveEnzymeExt = "EnzymeCore"
    LinearSolveFastAlmostBandedMatricesExt = "FastAlmostBandedMatrices"
    LinearSolveHYPREExt = "HYPRE"
    LinearSolveIterativeSolversExt = "IterativeSolvers"
    LinearSolveKernelAbstractionsExt = "KernelAbstractions"
    LinearSolveKrylovKitExt = "KrylovKit"
    LinearSolveMetalExt = "Metal"
    LinearSolvePardisoExt = "Pardiso"
    LinearSolveRecursiveArrayToolsExt = "RecursiveArrayTools"

    [deps.LinearSolve.weakdeps]
    BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
    BlockDiagonals = "0a1fb500-61f7-11e9-3c65-f5ef3456f9f0"
    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
    CUDSS = "45b445bb-4962-46a0-9369-b4df9d0f772e"
    EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
    FastAlmostBandedMatrices = "9d29842c-ecb8-4973-b1e9-a27b1157504e"
    HYPRE = "b5ffcf37-a2bd-41ab-a3da-4bd9bc8ad771"
    IterativeSolvers = "42fd0dbc-a981-5370-80f2-aaf504508153"
    KernelAbstractions = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
    KrylovKit = "0b1a1467-8014-51b9-945f-bf0ae24f4b77"
    Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
    Pardiso = "46dd5b70-b6fb-5a00-ae2d-e8fea33afaf2"
    RecursiveArrayTools = "731186ca-8d62-57ce-b412-fbd966d074cd"


[[deps.MPI]]
deps = ["Distributed", "DocStringExtensions", "Libdl", "MPICH_jll", "MPIPreferences", "MPItrampoline_jll", "MicrosoftMPI_jll", "OpenMPI_jll", "PkgVersion", "PrecompileTools", "Requires", "Serialization", "Sockets"]
git-tree-sha1 = "892676019c58f34e38743bc989b0eca5bce5edc5"
uuid = "da04e1cc-30fd-572f-bb4f-1f8673147195"
version = "0.20.22"

    [deps.MPI.extensions]
    AMDGPUExt = "AMDGPU"
    CUDAExt = "CUDA"

    [deps.MPI.weakdeps]
    AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"


[[deps.ArrayInterface]]
deps = ["Adapt", "LinearAlgebra"]
git-tree-sha1 = "d5140b60b87473df18cf4fe66382b7c3596df047"
uuid = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
version = "7.17.1"

    [deps.ArrayInterface.extensions]
    ArrayInterfaceBandedMatricesExt = "BandedMatrices"
    ArrayInterfaceBlockBandedMatricesExt = "BlockBandedMatrices"
    ArrayInterfaceCUDAExt = "CUDA"
    ArrayInterfaceCUDSSExt = "CUDSS"
    ArrayInterfaceChainRulesCoreExt = "ChainRulesCore"
    ArrayInterfaceChainRulesExt = "ChainRules"
    ArrayInterfaceGPUArraysCoreExt = "GPUArraysCore"
    ArrayInterfaceReverseDiffExt = "ReverseDiff"
    ArrayInterfaceSparseArraysExt = "SparseArrays"
    ArrayInterfaceStaticArraysCoreExt = "StaticArraysCore"
    ArrayInterfaceTrackerExt = "Tracker"

    [deps.ArrayInterface.weakdeps]
    BandedMatrices = "aae01518-5342-5314-be14-df237901396f"
    BlockBandedMatrices = "ffab5731-97b5-5995-9138-79e8c1846df0"
    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
    CUDSS = "45b445bb-4962-46a0-9369-b4df9d0f772e"
    ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
    GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
    ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
    SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
    StaticArraysCore = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
    Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"

Expected behavior

No "Circular depency" warning should occur.

Version info

Details on Julia:

Julia Version 1.10.0
Commit 3120989f39b (2023-12-25 18:01 UTC)

Details on CUDA:

CUDA v5.5.2 (as seen after `] add CUDA` because  CUDA.versioninfo() returns "ERROR: CUDA driver not found
Stacktrace:"

Additional context

The issue occurs on both Mac and Linux machines
@smarras79 smarras79 added the bug Something isn't working label Dec 10, 2024
@maleadt
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maleadt commented Dec 10, 2024

Upstream bug, fixed in Julia 1.11.2 and 1.10.8.

@maleadt maleadt closed this as completed Dec 10, 2024
@smarras79
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fantastic. thanks @maleadt

@glwagner glwagner mentioned this issue Jan 15, 2025
Open
@maleadt maleadt mentioned this issue Jan 16, 2025
Closed
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@maleadt @smarras79