Comments (3)
Tracking this here now: JuliaGPU/NVTX.jl#37
I don't have much Windows experience, so if anybody can help out there, that would be great.
from cuda.jl.
I am encountering a very similar issue, when trying to use nvprof.
The reason I am using nvprof is that Pascal support was deprecated, then dropped from Nsight Compute after Nsight Compute 2019.5.1.
nvprof --profile-from-start off C:\Users\gianl\.julia\juliaup\julia-1.9.4+0.x64.w64.mingw32\bin\julia.exe
_
_ _ _(_)_ | Documentation: https://docs.julialang.org
(_) | (_) (_) |
_ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 1.9.4 (2023-11-14)
_/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release
|__/ |
julia> using CUDA
Please submit a bug report with steps to reproduce this fault, and any error messages that follow (in their entirety). Thanks.
Exception: EXCEPTION_ACCESS_VIOLATION at 0x6be45c40 -- nvtxGlobals_v3 at C:\Users\gianl\.julia\artifacts\b4eeaf094ffb6aacf1b20ee5d2ac9aa1818fc732\bin\libnvToolsExt.dll (unknown line)
in expression starting at REPL[1]:1
nvtxGlobals_v3 at C:\Users\gianl\.julia\artifacts\b4eeaf094ffb6aacf1b20ee5d2ac9aa1818fc732\bin\libnvToolsExt.dll (unknown line)
Allocations: 1427174 (Pool: 1426172; Big: 1002); GC: 2
======== Warning: No CUDA application was profiled, exiting
======== Error: Application returned non-zero code 1
Additional info:
julia> versioninfo()
Julia Version 1.9.4
Commit 8e5136fa29 (2023-11-14 08:46 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 4 × Intel(R) Core(TM) i5-7600K CPU @ 3.80GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-14.0.6 (ORCJIT, skylake)
Threads: 1 on 4 virtual cores
julia> CUDA.versioninfo()
CUDA runtime 12.3, artifact installation
CUDA driver 12.3
Unknown NVIDIA driver
CUDA libraries:
- CUBLAS: 12.3.4
- CURAND: 10.3.4
- CUFFT: 11.0.12
- CUSOLVER: 11.5.4
- CUSPARSE: 12.2.0
- CUPTI: 21.0.0
- NVML: missing
Julia packages:
- CUDA: 5.1.2
- CUDA_Driver_jll: 0.7.0+1
- CUDA_Runtime_jll: 0.10.1+0
Toolchain:
- Julia: 1.9.4
- LLVM: 14.0.6
1 device:
0: NVIDIA GeForce GTX 1060 3GB (sm_61, 2.416 GiB / 3.000 GiB available)
from cuda.jl.
I ran into this issue, too.
from cuda.jl.
Related Issues (20)
- NSight Compute: prevent API calls during precompilation HOT 1
- Track CuArray stream usage HOT 1
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- cuDNN not available for your platform HOT 5
- Supporting precompilation without CUDA is problematic
- Power of adjoint of `CuSparseMatrix` does not work anymore HOT 2
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- Inference failure with sort(::CuMatrix) after loading MLDatasets HOT 1
- Cannot take gradient of `sort` on 2D CuArray HOT 2
- Multi-threaded code hanging forever with Julia 1.10 HOT 11
- cuDNN: Provide wrappers for the declarative API HOT 3
- CUBLAS: nrm2 support for StridedCuArray with length requiring Int64 HOT 1
- Adjoint not supported on Diagonal arrays HOT 1
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from cuda.jl.