Circular dependency in CUDA with Julia 1.10

[eschnett]

Describe the bug

When I add CUDA to a new Julia project with Julia 1.10, I see the following output:

┌ Warning: Circular dependency detected. Precompilation will be skipped for:
│   SparseArraysExt [85068d23-b5fb-53f1-8204-05c2aba6942f]
│   AtomixCUDAExt [13011619-4c7c-5ef0-948f-5fc81565cd05]
│   LinearAlgebraExt [66d79d19-2cc4-5b0b-ac7a-b340256d1ecd]
│   GPUArrays [0c68f7d7-f131-5f86-a1c3-88cf8149b2d7]
│   KernelAbstractions [63c18a36-062a-441e-b654-da1e3ab1ce7c]
│   CUDA [052768ef-5323-5732-b1bb-66c8b64840ba]

To reproduce

• Start Julia
• ]activate --temp
• add CUDA

(jl_GGywtI) pkg> status --manifest
Status `/private/var/folders/gb/x5lhfpj15ln66g6br549tz5m0000gs/T/jl_GGywtI/Manifest.toml`
  [621f4979] AbstractFFTs v1.5.0
  [79e6a3ab] Adapt v4.1.1
  [a9b6321e] Atomix v1.0.1
  [ab4f0b2a] BFloat16s v0.5.0
  [fa961155] CEnum v0.5.0
  [052768ef] CUDA v5.6.1
  [1af6417a] CUDA_Runtime_Discovery v0.3.5
  [3da002f7] ColorTypes v0.12.0
  [5ae59095] Colors v0.13.0
  [34da2185] Compat v4.16.0
  [a8cc5b0e] Crayons v4.1.1
  [9a962f9c] DataAPI v1.16.0
  [a93c6f00] DataFrames v1.7.0
  [864edb3b] DataStructures v0.18.20
  [e2d170a0] DataValueInterfaces v1.0.0
  [e2ba6199] ExprTools v0.1.10
  [53c48c17] FixedPointNumbers v0.8.5
  [0c68f7d7] GPUArrays v11.2.1
  [46192b85] GPUArraysCore v0.2.0
  [61eb1bfa] GPUCompiler v1.1.0
  [076d061b] HashArrayMappedTries v0.2.0
  [842dd82b] InlineStrings v1.4.2
  [41ab1584] InvertedIndices v1.3.1
  [82899510] IteratorInterfaceExtensions v1.0.0
  [692b3bcd] JLLWrappers v1.7.0
  [63c18a36] KernelAbstractions v0.9.31
  [929cbde3] LLVM v9.1.3
  [8b046642] LLVMLoopInfo v1.0.0
  [b964fa9f] LaTeXStrings v1.4.0
  [1914dd2f] MacroTools v0.5.15
  [e1d29d7a] Missings v1.2.0
  [5da4648a] NVTX v0.3.5
  [bac558e1] OrderedCollections v1.7.0
  [2dfb63ee] PooledArrays v1.4.3
  [aea7be01] PrecompileTools v1.2.1
  [21216c6a] Preferences v1.4.3
  [08abe8d2] PrettyTables v2.4.0
  [74087812] Random123 v1.7.0
  [e6cf234a] RandomNumbers v1.6.0
  [189a3867] Reexport v1.2.2
  [ae029012] Requires v1.3.0
  [7e506255] ScopedValues v1.3.0
  [6c6a2e73] Scratch v1.2.1
  [91c51154] SentinelArrays v1.4.8
  [a2af1166] SortingAlgorithms v1.2.1
  [90137ffa] StaticArrays v1.9.10
  [1e83bf80] StaticArraysCore v1.4.3
  [892a3eda] StringManipulation v0.4.0
  [3783bdb8] TableTraits v1.0.1
  [bd369af6] Tables v1.12.0
  [a759f4b9] TimerOutputs v0.5.26
  [013be700] UnsafeAtomics v0.3.0
⌅ [4ee394cb] CUDA_Driver_jll v0.10.4+0
  [76a88914] CUDA_Runtime_jll v0.15.5+0
  [9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0
  [dad2f222] LLVMExtra_jll v0.0.34+0
  [e98f9f5b] NVTX_jll v3.1.0+2
  [1e29f10c] demumble_jll v1.3.0+0
  [0dad84c5] ArgTools v1.1.1
  [56f22d72] Artifacts
  [2a0f44e3] Base64
  [ade2ca70] Dates
  [f43a241f] Downloads v1.6.0
  [7b1f6079] FileWatching
  [9fa8497b] Future
  [b77e0a4c] InteractiveUtils
  [4af54fe1] LazyArtifacts
  [b27032c2] LibCURL v0.6.4
  [76f85450] LibGit2
  [8f399da3] Libdl
  [37e2e46d] LinearAlgebra
  [56ddb016] Logging
  [d6f4376e] Markdown
  [ca575930] NetworkOptions v1.2.0
  [44cfe95a] Pkg v1.10.0
  [de0858da] Printf
  [3fa0cd96] REPL
  [9a3f8284] Random
  [ea8e919c] SHA v0.7.0
  [9e88b42a] Serialization
  [6462fe0b] Sockets
  [2f01184e] SparseArrays v1.10.0
  [10745b16] Statistics v1.10.0
  [fa267f1f] TOML v1.0.3
  [a4e569a6] Tar v1.10.0
  [8dfed614] Test
  [cf7118a7] UUIDs
  [4ec0a83e] Unicode
  [e66e0078] CompilerSupportLibraries_jll v1.1.1+0
  [deac9b47] LibCURL_jll v8.4.0+0
  [e37daf67] LibGit2_jll v1.6.4+0
  [29816b5a] LibSSH2_jll v1.11.0+1
  [c8ffd9c3] MbedTLS_jll v2.28.2+1
  [14a3606d] MozillaCACerts_jll v2023.1.10
  [4536629a] OpenBLAS_jll v0.3.23+4
  [bea87d4a] SuiteSparse_jll v7.2.1+1
  [83775a58] Zlib_jll v1.2.13+1
  [8e850b90] libblastrampoline_jll v5.11.0+0
  [8e850ede] nghttp2_jll v1.52.0+1
  [3f19e933] p7zip_jll v17.4.0+2
Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m`

Expected behavior

I expect no circular dependencies

Version info

Details on Julia:

julia> versioninfo()
Julia Version 1.10.7
Commit 4976d05258e (2024-11-26 15:57 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: macOS (arm64-apple-darwin24.0.0)
  CPU: 12 × Apple M3 Pro
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, apple-m1)
Threads: 1 default, 0 interactive, 1 GC (on 6 virtual cores)```

Details on CUDA:

julia> CUDA.versioninfo()
ERROR: CUDA driver not found
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:35
[2] functional
@ ~/.julia/packages/CUDA/1kIOw/src/initialization.jl:24 [inlined]
[3] versioninfo(io::Base.TTY)
@ CUDA ~/.julia/packages/CUDA/1kIOw/src/utilities.jl:42
[4] top-level scope
@ REPL[10]:1

That's expected since my GPU doesn't support CUDA. Still, I expect to be able to use CUDA.

[maleadt]

Dup of #2586. Bug in Julia, fixed in 1.11.2 and 1.10.8.