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UndefVarError: parameters not defined on Windows10 #1371

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prog900 opened this issue Feb 14, 2022 · 4 comments
Closed

UndefVarError: parameters not defined on Windows10 #1371

prog900 opened this issue Feb 14, 2022 · 4 comments
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bug Something isn't working

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@prog900
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prog900 commented Feb 14, 2022 •
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Hello!
I'm trying to run a simple example program on windows10

using CUDA
N = 2^20
x_d = CUDA.fill(1.0f0, N)  # a vector stored on the GPU filled with 1.0 (Float32)
y_d = CUDA.fill(2.0f0, N)  # a vector stored on the GPU filled with 2.0
y_d .+= x_d

and I get an error message - "UndefVarError: parameters not defined"

System parameters:
CUDA v2.6.3
Julia 1.6.4
Windows 10 Pro x64
Julia Environment: Jupyter Notebook

julia> CUDA.versioninfo()
CUDA toolkit 11.1.1, artifact installation
CUDA driver 11.6.0

Libraries:

  • CUBLAS: 11.3.0
  • CURAND: 10.2.2
  • CUFFT: 10.3.0
  • CUSOLVER: 11.0.1
  • CUSPARSE: 11.3.0
  • CUPTI: 14.0.0
  • NVML: missing
  • CUDNN: 8.10.0 (for CUDA 11.2.0)
  • CUTENSOR: 1.2.2 (for CUDA 11.1.0)

Toolchain:

  • Julia: 1.6.4
  • LLVM: 11.0.1
  • 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
  • Device support: sm_35, sm_37, sm_50, sm_52, sm_53, sm_60, sm_61, sm_62, sm_70, sm_72, sm_75, sm_80

1 device:
0: NVIDIA GeForce GTX 1060 6GB (sm_61, 5.028 GiB / 6.000 GiB available)

Pkg.test("CUDA")
Testing CUDA
Status C:\Users\Evgeny\AppData\Local\Temp\jl_0hzTVi\Project.toml
[79e6a3ab] Adapt v3.3.3
[ab4f0b2a] BFloat16s v0.1.0
[052768ef] CUDA v2.6.3
[864edb3b] DataStructures v0.18.11
[7a1cc6ca] FFTW v1.4.5
[1a297f60] FillArrays v0.9.7
[f6369f11] ForwardDiff v0.10.25
[0c68f7d7] GPUArrays v6.4.1
[a98d9a8b] Interpolations v0.13.5
[872c559c] NNlib v0.7.34
[ade2ca70] Dates @stdlib/Dates
[8ba89e20] Distributed @stdlib/Distributed
[37e2e46d] LinearAlgebra @stdlib/LinearAlgebra
[de0858da] Printf @stdlib/Printf
[3fa0cd96] REPL @stdlib/REPL
[9a3f8284] Random @stdlib/Random
[2f01184e] SparseArrays @stdlib/SparseArrays
[10745b16] Statistics @stdlib/Statistics
[8dfed614] Test @stdlib/Test
Status C:\Users\Evgeny\AppData\Local\Temp\jl_0hzTVi\Manifest.toml
[621f4979] AbstractFFTs v1.1.0
[79e6a3ab] Adapt v3.3.3
[13072b0f] AxisAlgorithms v1.0.1
[ab4f0b2a] BFloat16s v0.1.0
[fa961155] CEnum v0.4.1
[052768ef] CUDA v2.6.3
[d360d2e6] ChainRulesCore v1.12.0
[9e997f8a] ChangesOfVariables v0.1.2
[bbf7d656] CommonSubexpressions v0.3.0
[34da2185] Compat v3.41.0
[864edb3b] DataStructures v0.18.11
[163ba53b] DiffResults v1.0.3
[b552c78f] DiffRules v1.9.1
[ffbed154] DocStringExtensions v0.8.6
[e2ba6199] ExprTools v0.1.8
[7a1cc6ca] FFTW v1.4.5
[1a297f60] FillArrays v0.9.7
[f6369f11] ForwardDiff v0.10.25
[0c68f7d7] GPUArrays v6.4.1
[61eb1bfa] GPUCompiler v0.10.0
[a98d9a8b] Interpolations v0.13.5
[3587e190] InverseFunctions v0.1.2
[92d709cd] IrrationalConstants v0.1.1
[692b3bcd] JLLWrappers v1.4.1
[929cbde3] LLVM v3.9.0
[2ab3a3ac] LogExpFunctions v0.3.6
[1914dd2f] MacroTools v0.5.9
[c03570c3] Memoize v0.4.4
[872c559c] NNlib v0.7.34
[77ba4419] NaNMath v0.3.7
[6fe1bfb0] OffsetArrays v1.10.8
[bac558e1] OrderedCollections v1.4.1
[21216c6a] Preferences v1.2.3
[c84ed2f1] Ratios v0.4.2
[189a3867] Reexport v0.2.0
[ae029012] Requires v1.3.0
[6c6a2e73] Scratch v1.1.0
[276daf66] SpecialFunctions v2.1.2
[90137ffa] StaticArrays v1.3.4
[a759f4b9] TimerOutputs v0.5.15
[efce3f68] WoodburyMatrices v0.5.5
[f5851436] FFTW_jll v3.3.10+0
[1d5cc7b8] IntelOpenMP_jll v2018.0.3+2
[856f044c] MKL_jll v2021.1.1+2
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[0dad84c5] ArgTools @stdlib/ArgTools
[56f22d72] Artifacts @stdlib/Artifacts
[2a0f44e3] Base64 @stdlib/Base64
[ade2ca70] Dates @stdlib/Dates
[8bb1440f] DelimitedFiles @stdlib/DelimitedFiles
[8ba89e20] Distributed @stdlib/Distributed
[f43a241f] Downloads @stdlib/Downloads
[b77e0a4c] InteractiveUtils @stdlib/InteractiveUtils
[4af54fe1] LazyArtifacts @stdlib/LazyArtifacts
[b27032c2] LibCURL @stdlib/LibCURL
[76f85450] LibGit2 @stdlib/LibGit2
[8f399da3] Libdl @stdlib/Libdl
[37e2e46d] LinearAlgebra @stdlib/LinearAlgebra
[56ddb016] Logging @stdlib/Logging
[d6f4376e] Markdown @stdlib/Markdown
[a63ad114] Mmap @stdlib/Mmap
[ca575930] NetworkOptions @stdlib/NetworkOptions
[44cfe95a] Pkg @stdlib/Pkg
[de0858da] Printf @stdlib/Printf
[3fa0cd96] REPL @stdlib/REPL
[9a3f8284] Random @stdlib/Random
[ea8e919c] SHA @stdlib/SHA
[9e88b42a] Serialization @stdlib/Serialization
[1a1011a3] SharedArrays @stdlib/SharedArrays
[6462fe0b] Sockets @stdlib/Sockets
[2f01184e] SparseArrays @stdlib/SparseArrays
[10745b16] Statistics @stdlib/Statistics
[fa267f1f] TOML @stdlib/TOML
[a4e569a6] Tar @stdlib/Tar
[8dfed614] Test @stdlib/Test
[cf7118a7] UUIDs @stdlib/UUIDs
[4ec0a83e] Unicode @stdlib/Unicode
[e66e0078] CompilerSupportLibraries_jll @stdlib/CompilerSupportLibraries_jll
[deac9b47] LibCURL_jll @stdlib/LibCURL_jll
[29816b5a] LibSSH2_jll @stdlib/LibSSH2_jll
[c8ffd9c3] MbedTLS_jll @stdlib/MbedTLS_jll
[14a3606d] MozillaCACerts_jll @stdlib/MozillaCACerts_jll
[05823500] OpenLibm_jll @stdlib/OpenLibm_jll
[83775a58] Zlib_jll @stdlib/Zlib_jll
[8e850ede] nghttp2_jll @stdlib/nghttp2_jll
[3f19e933] p7zip_jll @stdlib/p7zip_jll
Precompiling project...
✓ OpenLibm_jll
✓ CommonSubexpressions
✓ DiffResults
✓ SpecialFunctions
✓ DiffRules
✓ ForwardDiff
6 dependencies successfully precompiled in 9 seconds (44 already precompiled)
Testing Running tests...
ERROR: LoadError: LoadError: UndefVarError: parameters not defined
Stacktrace:
[1] call!(builder::LLVM.Builder, rt::GPUCompiler.Runtime.RuntimeMethodInstance, args::Vector{LLVM.ConstantExpr})
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:57
[2] emit_exception!(builder::LLVM.Builder, name::String, inst::LLVM.CallInst)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:262
[3] macro expansion
@ C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:212 [inlined]
[4] macro expansion
@ C:\Users\Evgeny.julia\packages\TimerOutputs\5tW2E\src\TimerOutput.jl:252 [inlined]
[5] lower_throw!(mod::LLVM.Module)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:173
[6] module_pass_callback(ptr::Ptr{Nothing}, data::Ptr{Nothing})
@ LLVM C:\Users\Evgeny.julia\packages\LLVM\srSVa\src\pass.jl:21
[7] macro expansion
@ C:\Users\Evgeny.julia\packages\LLVM\srSVa\src\util.jl:85 [inlined]
[8] LLVMRunPassManager
@ C:\Users\Evgeny.julia\packages\LLVM\srSVa\lib\11\libLLVM_h.jl:4707 [inlined]
[9] run!
@ C:\Users\Evgeny.julia\packages\LLVM\srSVa\src\passmanager.jl:39 [inlined]
[10] (::GPUCompiler.var"#51#53"{GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{typeof(GPUCompiler.Runtime.box_bool), Tuple{Bool}}}, LLVM.Module})(pm::LLVM.ModulePassManager)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:82
[11] LLVM.ModulePassManager(::GPUCompiler.var"#51#53"{GPUCompiler.CompilerJob{GPUCompiler.PTXCompilerTarget, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{typeof(GPUCompiler.Runtime.box_bool), Tuple{Bool}}}, LLVM.Module})
@ LLVM C:\Users\Evgeny.julia\packages\LLVM\srSVa\src\passmanager.jl:33
[12] macro expansion
@ C:\Users\Evgeny.julia\packages\TimerOutputs\5tW2E\src\TimerOutput.jl:252 [inlined]
[13] irgen(job::GPUCompiler.CompilerJob, method_instance::Core.MethodInstance, world::UInt64)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:65
[14] macro expansion
@ C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\driver.jl:130 [inlined]
[15] macro expansion
@ C:\Users\Evgeny.julia\packages\TimerOutputs\5tW2E\src\TimerOutput.jl:252 [inlined]
[16] macro expansion
@ C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\driver.jl:129 [inlined]

[17] emit_llvm(job::GPUCompiler.CompilerJob, method_instance::Any, world::UInt64; libraries::Bool, deferred_codegen::Bool, optimize::Bool, only_entry::Bool)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\utils.jl:62
[18] codegen(output::Symbol, job::GPUCompiler.CompilerJob; libraries::Bool, deferred_codegen::Bool, optimize::Bool, strip::Bool, validate::Bool, only_entry::Bool)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\driver.jl:55
[19] emit_function!(mod::LLVM.Module, job::GPUCompiler.CompilerJob, f::Function, method::GPUCompiler.Runtime.RuntimeMethodInstance)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:76
[20] build_runtime(job::GPUCompiler.CompilerJob, ctx::LLVM.Context)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:126
[21] load_runtime(job::GPUCompiler.CompilerJob, ctx::LLVM.Context)
@ GPUCompiler C:\Users\Evgeny.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:174
[22] (::CUDA.var"#186#188"{Set{VersionNumber}, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{CUDA.var"#185#187", Tuple{}}})(ctx::LLVM.Context)
@ CUDA C:\Users\Evgeny.julia\packages\CUDA\M4jkK\src\device\runtime.jl:21
[23] LLVM.Context(f::CUDA.var"#186#188"{Set{VersionNumber}, CUDA.CUDACompilerParams, GPUCompiler.FunctionSpec{CUDA.var"#185#187", Tuple{}}})
@ LLVM C:\Users\Evgeny.julia\packages\LLVM\srSVa\src\core\context.jl:22
[24] JuliaContext
@ C:\Users\Evgeny.julia\packages\LLVM\srSVa\src\interop\base.jl:29 [inlined]
[25] precompile_runtime
@ C:\Users\Evgeny.julia\packages\CUDA\M4jkK\src\device\runtime.jl:15 [inlined]
[26] precompile_runtime()
@ CUDA C:\Users\Evgeny.julia\packages\CUDA\M4jkK\src\device\runtime.jl:13
[27] top-level scope
@ C:\Users\Evgeny.julia\packages\CUDA\M4jkK\test\setup.jl:23
[28] include(fname::String)
@ Base.MainInclude .\client.jl:444
[29] top-level scope
@ C:\Users\Evgeny.julia\packages\CUDA\M4jkK\test\runtests.jl:51
[30] include(fname::String)
@ Base.MainInclude .\client.jl:444
[31] top-level scope
@ none:6
in expression starting at C:\Users\Evgeny.julia\packages\CUDA\M4jkK\test\setup.jl:23
in expression starting at C:\Users\Evgeny.julia\packages\CUDA\M4jkK\test\runtests.jl:51

Package CUDA errored during testing
@prog900 prog900 added the bug Something isn't working label Feb 14, 2022
@maleadt
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maleadt commented Feb 14, 2022

You're using old packages, this has long been fixed: JuliaGPU/GPUCompiler.jl#214

@maleadt maleadt closed this as completed Feb 14, 2022
@stmorgenstern
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@maleadt Currently having this same issue. ExprTools and LLVM are updated (double and triple-checked this). Should I just delete project.toml & manifest.toml, or do I need a full Julia reinstall?

@prog900
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prog900 commented Apr 23, 2022 •
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@stmorgenstern> @maleadt Currently having this same issue. ExprTools and LLVM are updated (double and triple-checked this). Should I just delete project.toml & manifest.toml, or do I need a full Julia reinstall? I got this error when i installed both ArrayFire.jl and CUDA.jl libraries.
ArrayFire.jl does not allow updating CUDA.jl modules.
you need to remove other libraries that work with GPU. or configure the 2 different environments.
after that update CUDA.jl via update command

@maleadt
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maleadt commented Apr 25, 2022

Reinstalling Julia won't help. Verify that you're running the latest version of LLVM.jl using ] st -m, just running up doesn't suffice as the update might be held back by some dependency.

@mbauman mbauman mentioned this issue Oct 3, 2023
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@maleadt @prog900 @stmorgenstern