"No system CUDA driver found" on NixOS

[boogiewoogit]

When testing CUDA, I get both

┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121

in the initial checks and then, during the actual testing,

┌ Debug: No system CUDA driver found
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:77

Full REPL output

(@v1.9) pkg> test CUDA
┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
     Testing CUDA
┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
      Status `/tmp/jl_ckpRkS/Project.toml`
┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
[ ------------ collapsed for brevity ------------ ]
      Status `/tmp/jl_ckpRkS/Manifest.toml`
┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
[ ------------ collapsed for brevity ------------ ]
┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
Precompiling project...
  88 dependencies successfully precompiled in 166 seconds
  3 dependencies had warnings during precompilation:
┌ SpecialFunctionsExt [1285c0f1-ff9f-5867-b66e-0f359bcf09ba]
│  ┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
│  └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
│  ┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
│  └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
└  
┌ CUDA_Runtime_jll [76a88914-d11a-5bdc-97e0-2f5a05c973a2]
│  ┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
│  └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
│  ┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
│  └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
│  ┌ Debug: Using CUDA_Driver_jll for driver discovery
│  └ @ CUDA_Runtime_jll ~/.julia/packages/CUDA_Runtime_jll/GnSRU/.pkg/platform_augmentation.jl:127
│  ┌ Debug: Found CUDA driver at 'libcuda.so.1'
│  └ @ CUDA_Runtime_jll ~/.julia/packages/CUDA_Runtime_jll/GnSRU/.pkg/platform_augmentation.jl:154
│  ┌ Debug: CUDA driver version: 12.2.0
│  └ @ CUDA_Runtime_jll ~/.julia/packages/CUDA_Runtime_jll/GnSRU/.pkg/platform_augmentation.jl:217
│  ┌ Debug: Selected CUDA toolkit: 12.2.0
│  └ @ CUDA_Runtime_jll ~/.julia/packages/CUDA_Runtime_jll/GnSRU/.pkg/platform_augmentation.jl:248
└  
┌ CUDA [052768ef-5323-5732-b1bb-66c8b64840ba]
│  ┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
│  └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
│  ┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
│  └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
└  
     Testing Running tests...
┌ Debug: System CUDA driver found at libcuda.so.1, detected as version 12.2.0
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:103
┌ Debug: System CUDA driver is recent enough; not using forward-compatible driver
└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:121
┌ Info: System information:
│ CUDA runtime 12.2, artifact installation
│ CUDA driver 12.2
│ NVIDIA driver 535.104.5
│ 
│ CUDA libraries: 
│ - CUBLAS: 12.2.5
│ - CURAND: 10.3.3
│ - CUFFT: 11.0.8
│ - CUSOLVER: 11.5.2
│ - CUSPARSE: 12.1.2
│ - CUPTI: 20.0.0
│ - NVML: 12.0.0+535.104.5
│ 
│ Julia packages: 
│ - CUDA: 5.0.0
│ - CUDA_Driver_jll: 0.6.0+3
│ - CUDA_Runtime_jll: 0.9.2+0
│ 
│ Toolchain:
│ - Julia: 1.9.3
│ - LLVM: 14.0.6
│ - PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0, 7.1, 7.2, 7.3, 7.4, 7.5
│ - Device capability support: sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80, sm_86
│ 
│ 1 device:
└   0: NVIDIA GeForce GTX 980 (sm_52, 3.250 GiB / 4.000 GiB available)
[ Info: Testing using device 0 (NVIDIA GeForce GTX 980). To change this, specify the `--gpus` argument to the tests, or set the `CUDA_VISIBLE_DEVICES` environment variable.
┌ Debug:  cuBLAS (v12.2) function cublasStatus_t cublasGetProperty(libraryPropertyType, int*) called:
│   type: type=SOME TYPE; val=0
│   value: type=int; val=POINTER (IN HEX:0x0x7f3d6548a7b0)
│  Time: 2023-09-20T12:39:12 elapsed from start 0.216667 minutes or 13.000000 seconds
│ Process=93996; Thread=139905249177856; GPU=0; Handle=POINTER (IN HEX:0x(nil))
│  COMPILED WITH: GNU GCC/G++ / 6.3.1 20170216 (Red Hat 6.3.1-3)
└ @ CUDA.CUBLAS ~/.julia/packages/CUDA/nbRJk/lib/cublas/CUBLAS.jl:224
[ Info: Running 1 tests in parallel. If this is too many, specify the `--jobs` argument to the tests, or set the `JULIA_CPU_THREADS` environment variable.
┌ Debug:  cuBLAS (v12.2) function cublasStatus_t cublasGetProperty(libraryPropertyType, int*) called:
│   type: type=SOME TYPE; val=1
│   value: type=int; val=POINTER (IN HEX:0x0x7f3d6548a800)
│  Time: 2023-09-20T12:39:12 elapsed from start 0.216667 minutes or 13.000000 seconds
│ Process=93996; Thread=139905249177856; GPU=0; Handle=POINTER (IN HEX:0x(nil))
│  COMPILED WITH: GNU GCC/G++ / 6.3.1 20170216 (Red Hat 6.3.1-3)
└ @ CUDA.CUBLAS ~/.julia/packages/CUDA/nbRJk/lib/cublas/CUBLAS.jl:224
┌ Debug:  cuBLAS (v12.2) function cublasStatus_t cublasGetProperty(libraryPropertyType, int*) called:
│   type: type=SOME TYPE; val=2
│   value: type=int; val=POINTER (IN HEX:0x0x7f3d6548a850)
│  Time: 2023-09-20T12:39:12 elapsed from start 0.216667 minutes or 13.000000 seconds
│ Process=93996; Thread=139905249177856; GPU=0; Handle=POINTER (IN HEX:0x(nil))
│  COMPILED WITH: GNU GCC/G++ / 6.3.1 20170216 (Red Hat 6.3.1-3)
│ 
└ @ CUDA.CUBLAS ~/.julia/packages/CUDA/nbRJk/lib/cublas/CUBLAS.jl:224
      From worker 2:	┌ Debug: No system CUDA driver found
      From worker 2:	└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:77
                                                  |          | ---------------- GPU ---------------- | ---------------- CPU ---------------- |
Test                                     (Worker) | Time (s) | GC (s) | GC % | Alloc (MB) | RSS (MB) | GC (s) | GC % | Alloc (MB) | RSS (MB) |
core/initialization                           (2) |         failed at 2023-09-20T12:39:32.433
      From worker 3:	┌ Debug: No system CUDA driver found
      From worker 3:	└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:77
gpuarrays/indexing scalar                     (3) |         failed at 2023-09-20T12:39:46.592
      From worker 4:	┌ Debug: No system CUDA driver found
      From worker 4:	└ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:77
gpuarrays/reductions/reducedim!               (4) |         failed at 2023-09-20T12:40:00.593
^C
     Testing Tests interrupted. Exiting the test process

To reproduce

] test CUDA

Manifest.toml

# This file is machine-generated - editing it directly is not advised

julia_version = "1.9.3"
manifest_format = "2.0"
project_hash = "4d6f52122ea9741175c8c71d00021be0a921f3ad"

[[deps.AbstractFFTs]]
deps = ["LinearAlgebra"]
git-tree-sha1 = "d92ad398961a3ed262d8bf04a1a2b8340f915fef"
uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c"
version = "1.5.0"

    [deps.AbstractFFTs.extensions]
    AbstractFFTsChainRulesCoreExt = "ChainRulesCore"
    AbstractFFTsTestExt = "Test"

    [deps.AbstractFFTs.weakdeps]
    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
    Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[[deps.Adapt]]
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weakdeps = ["StaticArrays"]

    [deps.Adapt.extensions]
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[[deps.ArgTools]]
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[[deps.Artifacts]]
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[[deps.Atomix]]
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[[deps.BFloat16s]]
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[[deps.Base64]]
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[[deps.CEnum]]
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[[deps.CUDA]]
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git-tree-sha1 = "f062a48c26ae027f70c44f48f244862aec47bf99"
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    [deps.CUDA.extensions]
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    SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"

[[deps.CUDA_Driver_jll]]
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[[deps.CUDA_Runtime_Discovery]]
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[[deps.CUDA_Runtime_jll]]
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[[deps.ColorTypes]]
deps = ["FixedPointNumbers", "Random"]
git-tree-sha1 = "eb7f0f8307f71fac7c606984ea5fb2817275d6e4"
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[[deps.Colors]]
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[[deps.Compat]]
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weakdeps = ["Dates", "LinearAlgebra"]

    [deps.Compat.extensions]
    CompatLinearAlgebraExt = "LinearAlgebra"

[[deps.CompilerSupportLibraries_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
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[[deps.Crayons]]
git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15"
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[[deps.DataAPI]]
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[[deps.DataFrames]]
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[[deps.DataStructures]]
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[[deps.Dates]]
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[[deps.Downloads]]
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[[deps.ExprTools]]
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[[deps.FileWatching]]
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[[deps.FixedPointNumbers]]
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[[deps.Future]]
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[[deps.GPUArrays]]
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[[deps.GPUArraysCore]]
deps = ["Adapt"]
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[[deps.GPUCompiler]]
deps = ["ExprTools", "InteractiveUtils", "LLVM", "Libdl", "Logging", "Scratch", "TimerOutputs", "UUIDs"]
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[[deps.InlineStrings]]
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[[deps.InteractiveUtils]]
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[[deps.InvertedIndices]]
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[[deps.IteratorInterfaceExtensions]]
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[[deps.JLLWrappers]]
deps = ["Artifacts", "Preferences"]
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[[deps.JuliaNVTXCallbacks_jll]]
deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
git-tree-sha1 = "af433a10f3942e882d3c671aacb203e006a5808f"
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[[deps.KernelAbstractions]]
deps = ["Adapt", "Atomix", "InteractiveUtils", "LinearAlgebra", "MacroTools", "PrecompileTools", "Requires", "SparseArrays", "StaticArrays", "UUIDs", "UnsafeAtomics", "UnsafeAtomicsLLVM"]
git-tree-sha1 = "4c5875e4c228247e1c2b087669846941fb6e0118"
uuid = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
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    [deps.KernelAbstractions.extensions]
    EnzymeExt = "EnzymeCore"

    [deps.KernelAbstractions.weakdeps]
    EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"

[[deps.LLVM]]
deps = ["CEnum", "LLVMExtra_jll", "Libdl", "Printf", "Unicode"]
git-tree-sha1 = "a9d2ce1d5007b1e8f6c5b89c5a31ff8bd146db5c"
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[[deps.LLVMExtra_jll]]
deps = ["Artifacts", "JLLWrappers", "LazyArtifacts", "Libdl", "TOML"]
git-tree-sha1 = "7ca6850ae880cc99b59b88517545f91a52020afa"
uuid = "dad2f222-ce93-54a1-a47d-0025e8a3acab"
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[[deps.LaTeXStrings]]
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version = "1.3.0"

[[deps.LazyArtifacts]]
deps = ["Artifacts", "Pkg"]
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deps = ["DataStructures"]
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uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"

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deps = ["LinearAlgebra", "Random", "StaticArraysCore"]
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    [deps.StaticArrays.extensions]
    StaticArraysStatisticsExt = "Statistics"

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Version info

Details on Julia

julia> versioninfo()
Julia Version 1.9.3
Commit bed2cd540a1 (2023-08-24 14:43 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 16 × AMD Ryzen 7 1700 Eight-Core Processor
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, znver1)
  Threads: 1 on 16 virtual cores
Environment:
  JULIA_DEBUG = CUDA_Runtime_jll,CUDA,CUDA_Driver_jll
  JULIA_NUM_THREADS = 4

Details on CUDA:

julia> CUDA.versioninfo()
CUDA runtime 12.2, artifact installation
CUDA driver 12.2
NVIDIA driver 535.104.5

CUDA libraries: 
- CUBLAS: 12┌ Debug:  cuBLAS (v12.2) function cublasStatus_t cublasGetProperty(libraryPropertyType, int*) called:
│   type: type=SOME TYPE; val=0
│   value: type=int; val=POINTER (IN HEX:0x0x7f4b437e97b0)
│  Time: 2023-09-20T12:48:33 elapsed from start 0.933333 minutes or 56.000000 seconds
│ Process=91174; Thread=139961379438848; GPU=0; Handle=POINTER (IN HEX:0x(nil))
│  COMPILED WITH: GNU GCC/G++ / 6.3.1 20170216 (Red Hat 6.3.1-3)
└ @ CUDA.CUBLAS ~/.julia/packages/CUDA/nbRJk/lib/cublas/CUBLAS.jl:224
.┌ Debug:  cuBLAS (v12.2) function cublasStatus_t cublasGetProperty(libraryPropertyType, int*) called:
│   type: type=SOME TYPE; val=1
│   value: type=int; val=POINTER (IN HEX:0x0x7f4b437e9800)
│  Time: 2023-09-20T12:48:33 elapsed from start 0.933333 minutes or 56.000000 seconds
│ Process=91174; Thread=139961379438848; GPU=0; Handle=POINTER (IN HEX:0x(nil))
│  COMPILED WITH: GNU GCC/G++ / 6.3.1 20170216 (Red Hat 6.3.1-3)
└ @ CUDA.CUBLAS ~/.julia/packages/CUDA/nbRJk/lib/cublas/CUBLAS.jl:224
2┌ Debug:  cuBLAS (v12.2) function cublasStatus_t cublasGetProperty(libraryPropertyType, int*) called:
│   type: type=SOME TYPE; val=2
│   value: type=int; val=POINTER (IN HEX:0x0x7f4b437e9850)
│  Time: 2023-09-20T12:48:33 elapsed from start 0.933333 minutes or 56.000000 seconds
│ Process=91174; Thread=139961379438848; GPU=0; Handle=POINTER (IN HEX:0x(nil))
│  COMPILED WITH: GNU GCC/G++ / 6.3.1 20170216 (Red Hat 6.3.1-3)
│ 
└ @ CUDA.CUBLAS ~/.julia/packages/CUDA/nbRJk/lib/cublas/CUBLAS.jl:224
.5
- CURAND: 10.3.3
- CUFFT: 11.0.8
- CUSOLVER: 11.5.2
- CUSPARSE: 12.1.2
- CUPTI: 20.0.0
- NVML: 12.0.0+535.104.5

Julia packages: 
- CUDA: 5.0.0
- CUDA_Driver_jll: 0.6.0+3
- CUDA_Runtime_jll: 0.9.2+0

Toolchain:
- Julia: 1.9.3
- LLVM: 14.0.6
- PTX ISA support: 3.2, 4.0, 4.1, 4.2, 4.3, 5.0, 6.0, 6.1, 6.3, 6.4, 6.5, 7.0, 7.1, 7.2, 7.3, 7.4, 7.5
- Device capability support: sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80, sm_86

1 device:
  0: NVIDIA GeForce GTX 980 (sm_52, 3.288 GiB / 4.000 GiB available)

Additional context

I'm using Base.DL_LOAD_PATH to provide the path for libcuda, since I'm on NixOS, where system library paths are nonstandard:

julia> Libdl.find_library("libcuda.so")
""

julia> push!(Base.DL_LOAD_PATH,"/nix/store/iz44klhrxrb6pq88kfickgm0s6wpdvl2-nvidia-x11-535.104.05-6.1.53/lib")
1-element Vector{String}:
 "/nix/store/iz44klhrxrb6pq88kfickgm0s6wpdvl2-nvidia-x11-535.104.05-6.1.53/lib"

julia> Libdl.find_library("libcuda.so")
"libcuda.so"

FWIW, a simple addition on CuArrays fails due to another error, which I'm sure is due to NixOS and which I'll try and hunt down on that front.

Failing CuArray addition

julia> x = CUDA.fill(1.0f0, 10); y = CUDA.fill(2.0f0, 10)
10-element CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}:
 2.0
 2.0
 2.0
 2.0
 2.0
 2.0
 2.0
 2.0
 2.0
 2.0

julia> y .+= x
ERROR: IOError: could not spawn setenv(`/home/boogie/.julia/artifacts/e22703892311db2869af2d2c41ecbbe8e72596c3/bin/ptxas --generate-line-info --verbose --gpu-name sm_52 --output-file /tmp/jl_S7MPMlM5Av.cubin /tmp/jl_QhwZwr83mz.ptx`,[ ---- loads of envars here ---- ]): no such file or directory (ENOENT)
Stacktrace:
  [1] _spawn_primitive(file::String, cmd::Cmd, stdio::Vector{Union{RawFD, IO}})
    @ Base ./process.jl:128
  [2] #760
    @ ./process.jl:139 [inlined]
  [3] setup_stdios(f::Base.var"#760#761"{Cmd}, stdios::Vector{Union{RawFD, IO}})
    @ Base ./process.jl:223
  [4] _spawn
    @ ./process.jl:138 [inlined]
  [5] _spawn(::Base.CmdRedirect, ::Vector{Union{RawFD, IO}}) (repeats 2 times)
    @ Base ./process.jl:166
  [6] run(::Base.CmdRedirect; wait::Bool)
    @ Base ./process.jl:483
  [7] run
    @ ./process.jl:477 [inlined]
  [8] run_and_collect(cmd::Cmd)
    @ CUDA ~/.julia/packages/CUDA/nbRJk/src/compiler/compilation.jl:313
  [9] compile(job::GPUCompiler.CompilerJob)
    @ CUDA ~/.julia/packages/CUDA/nbRJk/src/compiler/compilation.jl:239
 [10] actual_compilation(cache::Dict{Any, CuFunction}, src::Core.MethodInstance, world::UInt64, cfg::GPUCompiler.CompilerConfig{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams}, compiler::typeof(CUDA.compile), linker::typeof(CUDA.link))
    @ GPUCompiler ~/.julia/packages/GPUCompiler/Cp7sE/src/execution.jl:125
 [11] cached_compilation(cache::Dict{Any, CuFunction}, src::Core.MethodInstance, cfg::GPUCompiler.CompilerConfig{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams}, compiler::Function, linker::Function)
    @ GPUCompiler ~/.julia/packages/GPUCompiler/Cp7sE/src/execution.jl:103
 [12] macro expansion
    @ ~/.julia/packages/CUDA/nbRJk/src/compiler/execution.jl:323 [inlined]
 [13] macro expansion
    @ ./lock.jl:267 [inlined]
 [14] cufunction(f::GPUArrays.var"#broadcast_kernel#32", tt::Type{Tuple{CUDA.CuKernelContext, CuDeviceVector{Float32, 1}, Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1}, Tuple{Base.OneTo{Int64}}, typeof(+), Tuple{Base.Broadcast.Extruded{CuDeviceVector{Float32, 1}, Tuple{Bool}, Tuple{Int64}}, Base.Broadcast.Extruded{CuDeviceVector{Float32, 1}, Tuple{Bool}, Tuple{Int64}}}}, Int64}}; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ CUDA ~/.julia/packages/CUDA/nbRJk/src/compiler/execution.jl:318
 [15] cufunction
    @ ~/.julia/packages/CUDA/nbRJk/src/compiler/execution.jl:315 [inlined]
 [16] macro expansion
    @ ~/.julia/packages/CUDA/nbRJk/src/compiler/execution.jl:104 [inlined]
 [17] #launch_heuristic#1087
    @ ~/.julia/packages/CUDA/nbRJk/src/gpuarrays.jl:17 [inlined]
 [18] launch_heuristic
    @ ~/.julia/packages/CUDA/nbRJk/src/gpuarrays.jl:15 [inlined]
 [19] _copyto!
    @ ~/.julia/packages/GPUArrays/EZkix/src/host/broadcast.jl:70 [inlined]
 [20] materialize!
    @ ~/.julia/packages/GPUArrays/EZkix/src/host/broadcast.jl:46 [inlined]
 [21] materialize!(dest::CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, bc::Base.Broadcast.Broadcasted{CUDA.CuArrayStyle{1}, Nothing, typeof(+), Tuple{CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}}})
    @ Base.Broadcast ./broadcast.jl:881
 [22] top-level scope
    @ REPL[7]:1
 [23] top-level scope
    @ ~/.julia/packages/CUDA/nbRJk/src/initialization.jl:205

[maleadt]

┌ Debug: No system CUDA driver found └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:77

If you look at the preceding functionality, we just call find_library, so something must be off with your set-up: https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/blob/e24faca71ae83b2c7c8b64543fac33baac367e40/src/wrappers/x86_64-linux-gnu.jl#L71-L79

[boogiewoogit]

┌ Debug: No system CUDA driver found └ @ CUDA_Driver_jll ~/.julia/packages/CUDA_Driver_jll/eDshu/src/wrappers/x86_64-linux-gnu.jl:77

If you look at the preceding functionality, we just call find_library, so something must be off with your set-up: https://github.com/JuliaBinaryWrappers/CUDA_Driver_jll.jl/blob/e24faca71ae83b2c7c8b64543fac33baac367e40/src/wrappers/x86_64-linux-gnu.jl#L71-L79

Yes, I checked that, it's what lead me to the documentation of find_library and in consequence me manually setting Base.DL_LOAD_PATH.

What throws me off is the fact that find_library should find libcuda where it doesn't, as indicated by the first checks which are successful, and as showcased in my direct calling of find_library toward the bottom of the post.

[maleadt]

How are you setting DL_LOAD_PATH? It's an internal Julia setting, so doesn't propagate to spawned processes. And Pkg.test does testing in a subprocess.

You probably want to put the directory containing libcuda in the LD_LIBRARY_PATH instead, or otherwise make sure the dynamic loader can find it automatically (e.g. through ld.so.conf.d).

[boogiewoogit]

How are you setting DL_LOAD_PATH? It's an internal Julia setting, so doesn't propagate to spawned processes. And Pkg.test does testing in a subprocess.

In my startup.jl, via push!(Base.DL_LOAD_PATH,"/path/to/libcuda"). The fact that it's subprocesses explains this, thank you for clarifying.

You probably want to put the directory containing libcuda in the LD_LIBRARY_PATH instead, or otherwise make sure the dynamic loader can find it automatically (e.g. through ld.so.conf.d).

Yep, did that and it worked. The reason I didn't is that in NixOS, LD_LIBRARY_PATH doesn't really work as it usually does, so you have to take some extra steps. And just from the documentation, DL_LOAD_PATH did seem to fit the bill while being more direct.

---

For future reference (and for any NixOS user stumbling upon this issue):

To get the correct LD_LIBRARY_PATH to your julia, you can use this overlay (i.e., add this line to your configuration.nix):

nixpkgs.overlays = [ (final: prev: { julia-bin = prev.julia-bin.overrideAttrs (old: rec { nativeBuildInputs = old.nativeBuildInputs ++ [ pkgs.makeWrapper ]; postFixup = ''wrapProgram "$out/bin/julia" --prefix LD_LIBRARY_PATH : ${lib.makeLibraryPath (with pkgs; [ stdenv.cc.cc linuxPackages.nvidia_x11 ])}''; }); }) ];

And to get the correct ELF interpreter to julia artifacts (e.g. ptxas, which CUDA uses), you'll need to have NIX_LD and NIX_LD_LIBRARY_PATH set (see nix-ld), for example globally with these lines in your configuration.nix:

environment.variables = {
    NIX_LD = "${pkgs.glibc}/lib/ld-linux-x86-64.so.2";
    NIX_LD_LIBRARY_PATH = lib.makeLibraryPath (with pkgs; [ stdenv.cc.cc linuxPackages.nvidia_x11 ]);
};

[boogiewoogit]

I changed the title to make this more discoverable. :-)

[maleadt]

Thanks for the update!