# Yolo.jl \[CUDA\] related issue
**URL:** https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882
**Category:** GPU
**Tags:** question
**Created:** [November 22, 2021, 5:37am UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882 "2021-11-22T05:37:23Z")
**Posts on this page:** 9
**Page:** 1
### Author:  [@n90](https://discourse.julialang.org/u/n90)
#### Post date: [November 22, 2021, 5:37am UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/1 "2021-11-22T05:37:23Z")
I am working on a server with Tesla M60. When i try running the sample code am getting the following error. Using CUDA.jl I checked the versioninfo() and gpu is recognized and working. What is the cause of this error and possible solution for the error.
WARNING: could not import CUDNN.cudnnTensorDescriptor into CUDNN
WARNING: could not import CUDNN.cudnnFilterDescriptor into CUDNN
WARNING: could not import CUDNN.cudnnActivationForwardAD into CUDNN
WARNING: could not import CUDNN.cudnnSoftmaxForwardAD into CUDNN
WARNING: could not import CUDNN.cudnnPoolingForwardAD into CUDNN
WARNING: could not import CUDNN.cudnnDropoutForwardAD into CUDNN
WARNING: could not import CUDNN.cudnnRNNForwardAD into CUDNN
ERROR: LoadError: LoadError: LoadError: UndefVarError: cudnnRNNTempSpaceSizes not defined
---
### Author:  [@jw3126](https://discourse.julialang.org/u/jw3126)
#### Post date: [November 22, 2021, 7:13am UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/2 "2021-11-22T07:13:46Z")
I don’t know the Yolo.jl package. But the first thing I would guess is that it might be incompatible with the CUDA.jl version installed. Try `]st` to find out the CUDA.jl version. Also, you can try `]test CUDA` to see if CUDNN workers as expected.
---
### Author:  [@n90](https://discourse.julialang.org/u/n90)
#### Post date: [November 23, 2021, 12:02pm UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/3 "2021-11-23T12:02:19Z")
Hey thanks for the reply. I tried ]test CUDA and it is failing. CUDA.versioninfo() shows CUDNN in its dependencies. I am currently trying to find out what the issue is with CUDA package. Other than ]test CUDA is there a way to check if the CUDA package is initialized properly. Thanks.
---
### Author:  [@maleadt](https://discourse.julialang.org/u/maleadt)
#### Post date: [November 23, 2021, 12:04pm UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/4 "2021-11-23T12:04:24Z")
If `CUDA.versioninfo()` works, the package initializes successfully. Try creating a CuArray to verify.
---
### Author:  [@n90](https://discourse.julialang.org/u/n90)
#### Post date: [November 26, 2021, 5:47am UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/5 "2021-11-26T05:47:01Z")
Hey thanks for the reply. I created a CuArray and checked. It is working but ]test is still failing. Is there any other way I can traceback the issue? I am using CUDA v3.5.0.
---
### Author:  [@maleadt](https://discourse.julialang.org/u/maleadt)
#### Post date: [November 26, 2021, 7:27am UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/6 "2021-11-26T07:27:51Z")
What is the exact failure? There’s thousands of tests, and it’s possible that some fail on an untested platform. You can file an issue for this.
---
### Author:  [@n90](https://discourse.julialang.org/u/n90)
#### Post date: [November 29, 2021, 12:30pm UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/7 "2021-11-29T12:30:55Z")
On running ]test CUDA it fails with this error.
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\GPU.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:57
[2] emit\_exception!(builder::LLVM.Builder, name::String, inst::LLVM.CallInst)
@ GPUCompiler C:\Users\GPU.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:262
[3] macro expansion
@ C:\Users\GPU.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:212 [inlined]
[4] macro expansion
@ C:\Users\GPU.julia\packages\TimerOutputs\SSeq1\src\TimerOutput.jl:252 [inlined]
[5] lower\_throw!(mod::LLVM.Module)
@ GPUCompiler C:\Users\GPU.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:173
[6] module\_pass\_callback(ptr::Ptr{Nothing}, data::Ptr{Nothing})
@ LLVM C:\Users\GPU.julia\packages\LLVM\srSVa\src\pass.jl:21
[7] macro expansion
@ C:\Users\GPU.julia\packages\LLVM\srSVa\src\util.jl:85 [inlined]
[8] LLVMRunPassManager
@ C:\Users\GPU.julia\packages\LLVM\srSVa\lib\11\libLLVM\_h.jl:4707 [inlined]
[9] run!
@ C:\Users\GPU.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\GPU.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\GPU.julia\packages\LLVM\srSVa\src\passmanager.jl:33
[12] macro expansion
@ C:\Users\GPU.julia\packages\TimerOutputs\SSeq1\src\TimerOutput.jl:252 [inlined]
[13] irgen(job::GPUCompiler.CompilerJob, method\_instance::Core.MethodInstance, world::UInt64)
@ GPUCompiler C:\Users\GPU.julia\packages\GPUCompiler\XwWPj\src\irgen.jl:65
[14] macro expansion
@ C:\Users\GPU.julia\packages\GPUCompiler\XwWPj\src\driver.jl:130 [inlined]
[15] macro expansion
@ C:\Users\GPU.julia\packages\TimerOutputs\SSeq1\src\TimerOutput.jl:252 [inlined]
[16] macro expansion
@ C:\Users\GPU.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\GPU.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\GPU.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\GPU.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:76
[20] build\_runtime(job::GPUCompiler.CompilerJob, ctx::LLVM.Context)
@ GPUCompiler C:\Users\GPU.julia\packages\GPUCompiler\XwWPj\src\rtlib.jl:126
[21] load\_runtime(job::GPUCompiler.CompilerJob, ctx::LLVM.Context)
@ GPUCompiler C:\Users\GPU.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\GPU.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\GPU.julia\packages\LLVM\srSVa\src\core\context.jl:22
[24] JuliaContext
@ C:\Users\GPU.julia\packages\LLVM\srSVa\src\interop\base.jl:29 [inlined]
[25] precompile\_runtime
@ C:\Users\GPU.julia\packages\CUDA\M4jkK\src\device\runtime.jl:15 [inlined]
[26] precompile\_runtime()
@ CUDA C:\Users\GPU.julia\packages\CUDA\M4jkK\src\device\runtime.jl:13
[27] top-level scope
@ C:\Users\GPU.julia\packages\CUDA\M4jkK\test\setup.jl:23
[28] include(fname::String)
@ Base.MainInclude .\client.jl:444
[29] top-level scope
@ C:\Users\GPU.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\GPU.julia\packages\CUDA\M4jkK\test\setup.jl:23
in expression starting at C:\Users\GPU.julia\packages\CUDA\M4jkK\test\runtests.jl:51
ERROR: Package CUDA errored during testing
---
### Author:  [@maleadt](https://discourse.julialang.org/u/maleadt)
#### Post date: [November 29, 2021, 1:13pm UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/8 "2021-11-29T13:13:14Z")
> [@n90](#):
>
> ERROR: LoadError: LoadError: UndefVarError: parameters not defined
That looks like [Both ExprTools and LLVM export "parameters" · Issue #214 · JuliaGPU/GPUCompiler.jl · GitHub](https://github.com/JuliaGPU/GPUCompiler.jl/issues/214) – you’re probably using outdated packages.
---
### Author:  [@cirobr](https://discourse.julialang.org/u/cirobr)
#### Post date: [April 24, 2022, 11:17am UTC](https://discourse.julialang.org/t/yolo-jl-cuda-related-issue/71882/9 "2022-04-24T11:17:24Z")
Had exactly same issue. Found that CUDA was outdated and LLVM not installed. Solution was simply:
```julia
]
add LLVM
up CUDA
```
After that, CUDA testing ran properly.