I have CUDA toolkit for CUDA 13.0 and my drivers have CUDA 13.1 which is why I am getting this error in julia
Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
│ │ This is unexpected; please file an issue.
When I try to use local install of CUDA I get this error
┌ Error: CUDA.jl was precompiled without knowing the CUDA toolkit version. This is unsupported.
│ You should either precompile CUDA.jl in an environment where the CUDA toolkit is available,
│ or call `CUDA.set_runtime_version!` to specify which CUDA version to use.
└ @ CUDA C:\Users\Aditya\.julia\packages\CUDA\x8d2s\src\initialization.jl:139
1 Like
you may try resolve in pkg mode after clicking ].
(@v1.12) pkg> resolve
(@v1.12 ) pkg> ?resolve
1 Like
Resolve is not working
(@v1.12) pkg> resolve
Project No packages added to or removed from `C:\Users\Aditya\.julia\environments\v1.12\Project.toml`
Manifest No packages added to or removed from `C:\Users\Aditya\.julia\environments\v1.12\Manifest.toml`
Benny
December 27, 2025, 12:54am
4
Isn’t CUDA supposed to be backward compatible within a major version, that is a newer driver works on older code? Also I changed the tags, it was previously categorized with topics on Pkg, which is not directly responsible for this.
NoForward Compatibility — CUDA Compatibility
eldee
December 27, 2025, 10:04am
6
Can you still use CUDA.jl despite the error? I seem to remember that before resolving I couldn’t, but everything seems to work after:
julia> @usingany CUDA # (or using in the proper environment; from ShareAdd.jl)
┌ Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
│ This is unexpected; please file an issue.
└ @ CUDA (...)\.julia\packages\CUDA\x8d2s\src\initialization.jl:148
julia> CUDA.rand(2, 3) * CUDA.rand(3, 4)
2×4 CuArray{Float32, 2, CUDA.DeviceMemory}:
1.37045 1.31949 0.897917 1.30481
1.32174 1.37154 0.495007 1.35085
Versions
julia> versioninfo()
Julia Version 1.11.5
Commit 760b2e5b73 (2025-04-14 06:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Windows (x86_64-w64-mingw32)
CPU: 8 × Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, skylake)
Threads: 8 default, 0 interactive, 4 GC (on 8 virtual cores)
Environment:
JULIA_NUM_THREADS = auto
julia> CUDA.versioninfo()
CUDA toolchain:
- runtime 13.1, artifact installation
- driver 591.59.0 for 13.1
- compiler 13.1
CUDA libraries:
- CUBLAS: 13.1.0
- CURAND: 10.4.0
- CUFFT: 12.0.0
- CUSOLVER: 12.0.4
- CUSPARSE: 12.6.3
- CUPTI: 2025.3.1 (API 13.0.1)
- NVML: 13.0.0+591.59
Julia packages:
- CUDA: 5.9.5
- CUDA_Driver_jll: 13.1.0+0
- CUDA_Compiler_jll: 0.3.0+1
- CUDA_Runtime_jll: 0.19.2+0
Toolchain:
- Julia: 1.11.5
- LLVM: 16.0.6
1 device:
0: NVIDIA GeForce RTX 3070 (sm_86, 6.173 GiB / 8.000 GiB available)
Yes, I can still use CUDA but not like this
using CUDA # optional
device = gpu_device() # function to move data and model to the GPU
This is a code from Flux.jl documentation and it returns False.
I can use CUDA like this
using CUDA
a = rand(1000) # CPU array
b = CuArray(a) # move to GPU
c = b .^ 2 .+ 1 # runs on GPU
result = Array(c) # bring back to CPU
Moreover, after testing CUDA i got this
Testing finished in 40 minutes, 1 second, 826 milliseconds
Test Summary: | Pass Broken Total Time
Overall | 33900 27 33927
SUCCESS
Testing CUDA tests passed
Here is the full report
(@v1.12) pkg> test CUDA
Testing CUDA
Status `C:\Users\Aditya\AppData\Local\Temp\jl_Wlsbkx\Project.toml`
[621f4979] AbstractFFTs v1.5.0
[79e6a3ab] Adapt v4.4.0
[ab4f0b2a] BFloat16s v0.6.0
[052768ef] CUDA v5.9.5
[d360d2e6] ChainRulesCore v1.26.0
[864edb3b] DataStructures v0.19.3
[7a1cc6ca] FFTW v1.10.0
[0c68f7d7] GPUArrays v11.3.2
[61eb1bfa] GPUCompiler v1.7.5
[a98d9a8b] Interpolations v0.16.2
[033835bb] JLD2 v0.6.3
[63c18a36] KernelAbstractions v0.9.39
[5da4648a] NVTX v1.0.1
[a0a7dd2c] SparseMatricesCSR v0.6.9
[276daf66] SpecialFunctions v2.6.1
[90137ffa] StaticArrays v1.9.15
[10745b16] Statistics v1.11.1
[4ee394cb] CUDA_Driver_jll v13.1.0+0
[76a88914] CUDA_Runtime_jll v0.19.2+0
[ade2ca70] Dates v1.11.0
[8ba89e20] Distributed v1.11.0
[b77e0a4c] InteractiveUtils v1.11.0
[37e2e46d] LinearAlgebra v1.12.0
[44cfe95a] Pkg v1.12.1
[de0858da] Printf v1.11.0
[3fa0cd96] REPL v1.11.0
[9a3f8284] Random v1.11.0
[2f01184e] SparseArrays v1.12.0
[8dfed614] Test v1.11.0
Status `C:\Users\Aditya\AppData\Local\Temp\jl_Wlsbkx\Manifest.toml`
[621f4979] AbstractFFTs v1.5.0
[79e6a3ab] Adapt v4.4.0
[a9b6321e] Atomix v1.1.2
[13072b0f] AxisAlgorithms v1.1.0
[ab4f0b2a] BFloat16s v0.6.0
[fa961155] CEnum v0.5.0
[052768ef] CUDA v5.9.5
[1af6417a] CUDA_Runtime_Discovery v1.0.0
[d360d2e6] ChainRulesCore v1.26.0
[0b6fb165] ChunkCodecCore v1.0.1
[4c0bbee4] ChunkCodecLibZlib v1.0.0
[55437552] ChunkCodecLibZstd v1.0.0
[3da002f7] ColorTypes v0.12.1
[5ae59095] Colors v0.13.1
[34da2185] Compat v4.18.1
[a8cc5b0e] Crayons v4.1.1
[9a962f9c] DataAPI v1.16.0
[a93c6f00] DataFrames v1.8.1
[864edb3b] DataStructures v0.19.3
[e2d170a0] DataValueInterfaces v1.0.0
[ffbed154] DocStringExtensions v0.9.5
[e2ba6199] ExprTools v0.1.10
[7a1cc6ca] FFTW v1.10.0
[5789e2e9] FileIO v1.17.1
[53c48c17] FixedPointNumbers v0.8.5
[0c68f7d7] GPUArrays v11.3.2
[46192b85] GPUArraysCore v0.2.0
[61eb1bfa] GPUCompiler v1.7.5
[096a3bc2] GPUToolbox v1.0.0
[076d061b] HashArrayMappedTries v0.2.0
[842dd82b] InlineStrings v1.4.5
[a98d9a8b] Interpolations v0.16.2
[41ab1584] InvertedIndices v1.3.1
[92d709cd] IrrationalConstants v0.2.6
[82899510] IteratorInterfaceExtensions v1.0.0
[033835bb] JLD2 v0.6.3
[692b3bcd] JLLWrappers v1.7.1
[63c18a36] KernelAbstractions v0.9.39
[929cbde3] LLVM v9.4.4
[8b046642] LLVMLoopInfo v1.0.0
[b964fa9f] LaTeXStrings v1.4.0
[2ab3a3ac] LogExpFunctions v0.3.29
[1914dd2f] MacroTools v0.5.16
[e1d29d7a] Missings v1.2.0
[5da4648a] NVTX v1.0.1
[6fe1bfb0] OffsetArrays v1.17.0
[bac558e1] OrderedCollections v1.8.1
[2dfb63ee] PooledArrays v1.4.3
[aea7be01] PrecompileTools v1.3.3
[21216c6a] Preferences v1.5.1
[08abe8d2] PrettyTables v3.1.2
[74087812] Random123 v1.7.1
[e6cf234a] RandomNumbers v1.6.0
[c84ed2f1] Ratios v0.4.5
[189a3867] Reexport v1.2.2
[ae029012] Requires v1.3.1
[7e506255] ScopedValues v1.5.0
[6c6a2e73] Scratch v1.3.0
[91c51154] SentinelArrays v1.4.9
[a2af1166] SortingAlgorithms v1.2.2
[a0a7dd2c] SparseMatricesCSR v0.6.9
[276daf66] SpecialFunctions v2.6.1
[90137ffa] StaticArrays v1.9.15
[1e83bf80] StaticArraysCore v1.4.4
[10745b16] Statistics v1.11.1
[892a3eda] StringManipulation v0.4.2
[3783bdb8] TableTraits v1.0.1
[bd369af6] Tables v1.12.1
[e689c965] Tracy v0.1.6
[013be700] UnsafeAtomics v0.3.0
[efce3f68] WoodburyMatrices v1.0.0
[d1e2174e] CUDA_Compiler_jll v0.3.0+1
[4ee394cb] CUDA_Driver_jll v13.1.0+0
[76a88914] CUDA_Runtime_jll v0.19.2+0
[f5851436] FFTW_jll v3.3.11+0
[1d5cc7b8] IntelOpenMP_jll v2025.2.0+0
[9c1d0b0a] JuliaNVTXCallbacks_jll v0.2.1+0
[dad2f222] LLVMExtra_jll v0.0.38+0
[ad6e5548] LibTracyClient_jll v0.9.1+6
[856f044c] MKL_jll v2025.2.0+0
[e98f9f5b] NVTX_jll v3.2.2+0
[efe28fd5] OpenSpecFun_jll v0.5.6+0
[3161d3a3] Zstd_jll v1.5.7+1
[1e29f10c] demumble_jll v1.3.0+0
[1317d2d5] oneTBB_jll v2022.0.0+1
[0dad84c5] ArgTools v1.1.2
[56f22d72] Artifacts v1.11.0
[2a0f44e3] Base64 v1.11.0
[ade2ca70] Dates v1.11.0
[8ba89e20] Distributed v1.11.0
[f43a241f] Downloads v1.7.0
[7b1f6079] FileWatching v1.11.0
[9fa8497b] Future v1.11.0
[b77e0a4c] InteractiveUtils v1.11.0
[ac6e5ff7] JuliaSyntaxHighlighting v1.12.0
[4af54fe1] LazyArtifacts v1.11.0
[b27032c2] LibCURL v0.6.4
[76f85450] LibGit2 v1.11.0
[8f399da3] Libdl v1.11.0
[37e2e46d] LinearAlgebra v1.12.0
[56ddb016] Logging v1.11.0
[d6f4376e] Markdown v1.11.0
[a63ad114] Mmap v1.11.0
[ca575930] NetworkOptions v1.3.0
[44cfe95a] Pkg v1.12.1
[de0858da] Printf v1.11.0
[3fa0cd96] REPL v1.11.0
[9a3f8284] Random v1.11.0
[ea8e919c] SHA v0.7.0
[9e88b42a] Serialization v1.11.0
[1a1011a3] SharedArrays v1.11.0
[6462fe0b] Sockets v1.11.0
[2f01184e] SparseArrays v1.12.0
[f489334b] StyledStrings v1.11.0
[4607b0f0] SuiteSparse
[fa267f1f] TOML v1.0.3
[a4e569a6] Tar v1.10.0
[8dfed614] Test v1.11.0
[cf7118a7] UUIDs v1.11.0
[4ec0a83e] Unicode v1.11.0
[e66e0078] CompilerSupportLibraries_jll v1.3.0+1
[deac9b47] LibCURL_jll v8.15.0+0
[e37daf67] LibGit2_jll v1.9.0+0
[29816b5a] LibSSH2_jll v1.11.3+1
[14a3606d] MozillaCACerts_jll v2025.5.20
[4536629a] OpenBLAS_jll v0.3.29+0
[05823500] OpenLibm_jll v0.8.7+0
[458c3c95] OpenSSL_jll v3.5.4+0
[bea87d4a] SuiteSparse_jll v7.8.3+2
[83775a58] Zlib_jll v1.3.1+2
[8e850b90] libblastrampoline_jll v5.15.0+0
[8e850ede] nghttp2_jll v1.64.0+1
[3f19e933] p7zip_jll v17.7.0+0
Testing Running tests...
┌ Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
│ This is unexpected; please file an issue.
└ @ CUDA C:\Users\Aditya\.julia\packages\CUDA\x8d2s\src\initialization.jl:148
┌ Info: System information:
│ CUDA toolchain:
│ - runtime 13.1, artifact installation
│ - driver 591.44.0 for 13.1
│ - compiler 13.1
│
│ CUDA libraries:
│ - CUBLAS: 13.1.0
│ - CURAND: 10.4.0
│ - CUFFT: 12.0.0
│ - CUSOLVER: 12.0.4
│ - CUSPARSE: 12.6.3
│ - CUPTI: 2025.3.1 (API 13.0.1)
│ - NVML: 13.0.0+591.44
│
│ Julia packages:
│ - CUDA: 5.9.5
│ - CUDA_Driver_jll: 13.1.0+0
│ - CUDA_Compiler_jll: 0.3.0+1
│ - CUDA_Runtime_jll: 0.19.2+0
│
│ Toolchain:
│ - Julia: 1.12.3
│ - LLVM: 18.1.7
│
│ 1 device:
└ 0: NVIDIA GeForce RTX 4050 Laptop GPU (sm_89, 5.340 GiB / 5.997 GiB available)
[ Info: Testing using device 0 (NVIDIA GeForce RTX 4050 Laptop GPU). To change this, specify the `--gpu` argument to the tests, or set the `CUDA_VISIBLE_DEVICES` environment variable.
[ Info: Running 2 tests in parallel. If this is too many, specify the `--jobs` argument to the tests, or set the `JULIA_CPU_THREADS` environment variable.
From worker 2: ┌ Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
From worker 2: │ This is unexpected; please file an issue.
From worker 2: └ @ CUDA C:\Users\Aditya\.julia\packages\CUDA\x8d2s\src\initialization.jl:148
From worker 3: ┌ Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
From worker 3: │ This is unexpected; please file an issue.
From worker 3: └ @ CUDA C:\Users\Aditya\.julia\packages\CUDA\x8d2s\src\initialization.jl:148
| | ---------------- GPU ---------------- | ---------------- CPU ---------------- |
Test (Worker) | Time (s) | GC (s) | GC % | Alloc (MB) | RSS (MB) | GC (s) | GC % | Alloc (MB) | RSS (MB) |
core/initialization (2) | 17.48 | 1.39 | 7.9 | 0.00 | N/A | 0.00 | 0.0 | 86.45 | 1219.08 |
From worker 4: ┌ Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
From worker 4: │ This is unexpected; please file an issue.
From worker 4: └ @ CUDA C:\Users\Aditya\.julia\packages\CUDA\x8d2s\src\initialization.jl:148
gpuarrays/reductions/sum prod (3) | 141.57 | 0.02 | 0.0 | 3.23 | N/A | 2.86 | 2.0 | 12493.46 | 2879.59 |
gpuarrays/reductions/reduce (4) | 109.33 | 0.02 | 0.0 | 1.53 | N/A | 2.37 | 2.2 | 10297.67 | 1900.52 |
gpuarrays/reductions/mapreducedim! (3) | 80.19 | 0.01 | 0.0 | 1.54 | N/A | 1.20 | 1.5 | 5900.76 | 3526.55 |
gpuarrays/reductions/== isequal (3) | 51.65 | 0.01 | 0.0 | 1.07 | N/A | 1.02 | 2.0 | 5121.06 | 4014.48 |
gpuarrays/broadcasting (4) | 148.60 | 0.02 | 0.0 | 2.00 | N/A | 3.02 | 2.0 | 12539.38 | 3385.03 |
gpuarrays/base (3) | 34.57 | 0.00 | 0.0 | 8.90 | N/A | 1.13 | 3.3 | 2875.04 | 4531.65 |
gpuarrays/vectors (3) | 0.43 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 21.62 | 4531.65 |
gpuarrays/random (4) | 13.92 | 0.01 | 0.0 | 392.05 | N/A | 0.31 | 2.2 | 1373.38 | 3689.95 |
gpuarrays/ext/jld2 (3) | 16.77 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 523.58 | 4576.77 |
gpuarrays/constructors (4) | 21.80 | 0.01 | 0.0 | 0.65 | N/A | 0.27 | 1.2 | 1390.27 | 3853.25 |
gpuarrays/statistics (4) | 51.43 | 0.00 | 0.0 | 1.50 | N/A | 0.98 | 1.9 | 4735.85 | 4653.82 |
gpuarrays/reductions/mapreduce (3) | 70.92 | 0.01 | 0.0 | 1.83 | N/A | 1.04 | 1.5 | 5731.24 | 5007.89 |
gpuarrays/linalg/NaN_false (3) | 14.77 | 0.00 | 0.0 | 0.00 | N/A | 0.12 | 0.8 | 968.52 | 5593.66 |
gpuarrays/math/intrinsics (3) | 1.91 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 158.35 | 5593.66 |
gpuarrays/linalg/mul!/matrix-matrix (3) | 61.20 | 0.02 | 0.0 | 0.13 | N/A | 0.91 | 1.5 | 5332.84 | 6213.73 |
gpuarrays/sparse (3) | 0.00 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 0.05 | 6218.92 |
gpuarrays/reductions/mapreducedim!_large (3) | 10.02 | 0.00 | 0.0 | 818.34 | N/A | 0.47 | 4.7 | 2036.99 | 6597.79 |
gpuarrays/uniformscaling (3) | 8.05 | 0.00 | 0.0 | 0.01 | N/A | 0.00 | 0.0 | 447.28 | 6597.79 |
gpuarrays/linalg/norm (4) | 139.38 | 0.01 | 0.0 | 0.02 | N/A | 2.51 | 1.8 | 11376.25 | 7053.47 |
gpuarrays/reductions/any all count (4) | 10.29 | 0.00 | 0.0 | 0.00 | N/A | 0.12 | 1.2 | 1008.55 | 7363.41 |
gpuarrays/linalg/kron (4) | 82.23 | 0.01 | 0.0 | 5381.25 | N/A | 7.29 | 8.9 | 30032.35 | 8386.31 |
gpuarrays/reductions/minimum maximum extrema (3) | 146.98 | 0.02 | 0.0 | 2.19 | N/A | 2.73 | 1.9 | 13187.27 | 8341.30 |
gpuarrays/indexing multidimensional (4) | 47.05 | 0.00 | 0.0 | 2.07 | N/A | 0.52 | 1.1 | 3084.54 | 8528.57 |
gpuarrays/indexing find (3) | 26.03 | 0.00 | 0.0 | 0.13 | N/A | 0.49 | 1.9 | 2367.11 | 8774.89 |
gpuarrays/linalg/diagonal (4) | 20.20 | 0.00 | 0.0 | 2.34 | N/A | 0.23 | 1.1 | 1546.28 | 9074.04 |
gpuarrays/linalg/mul!/vector-matrix (3) | 31.45 | 0.01 | 0.0 | 0.02 | N/A | 0.36 | 1.2 | 2458.67 | 9066.32 |
gpuarrays/math/power (4) | 29.93 | 0.00 | 0.0 | 0.01 | N/A | 0.42 | 1.4 | 2680.76 | 9202.92 |
gpuarrays/reductions/reducedim! (4) | 50.92 | 0.00 | 0.0 | 1.03 | N/A | 0.64 | 1.3 | 4036.16 | 9507.64 |
gpuarrays/indexing scalar (4) | 8.29 | 0.00 | 0.0 | 0.01 | N/A | 0.00 | 0.0 | 576.67 | 9585.64 |
gpuarrays/alloc cache (4) | 1.37 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 117.44 | 9586.75 |
gpuarrays/linalg/core (3) | 106.20 | 0.01 | 0.0 | 26.04 | N/A | 2.81 | 2.6 | 9030.51 | 9672.86 |
libraries/cusparse (4) | 106.90 | 0.05 | 0.0 | 23.36 | N/A | 1.21 | 1.1 | 6901.08 | 10227.49 |
base/array (4) | 62.75 | 0.11 | 0.2 | 1264.58 | N/A | 1.04 | 1.7 | 6671.73 | 10421.44 |
From worker 4: WARNING: Method definition var"#296"(Any) in module Main at C:\Users\Aditya\.julia\packages\CUDA\x8d2s\test\core\execution.jl:358 overwritten at C:\Users\Aditya\.julia\packages\CUDA\x8d2s\test\core\execution.jl:366.
core/execution (4) | 31.87 | 0.00 | 0.0 | 0.02 | N/A | 0.38 | 1.2 | 2510.28 | 10421.44 |
libraries/cublas/extensions (4) | 45.45 | 0.02 | 0.0 | 36.69 | N/A | 0.45 | 1.0 | 3259.62 | 10421.44 |
libraries/cusolver/dense (3) | 230.00 | 0.11 | 0.0 | 329.71 | N/A | 6.35 | 2.8 | 17572.60 | 10378.38 |
core/cudadrv (4) | 7.67 | 5.01 | 65.3 | 0.00 | N/A | 0.00 | 0.0 | 286.12 | 10421.44 |
From worker 5: ┌ Error: You are using CUDA 13.1.0, but CUDA.jl was precompiled for CUDA 13.0.0.
From worker 5: │ This is unexpected; please file an issue.
From worker 5: └ @ CUDA C:\Users\Aditya\.julia\packages\CUDA\x8d2s\src\initialization.jl:148
libraries/cublas/level2 (3) | 28.50 | 0.01 | 0.0 | 1.35 | N/A | 0.39 | 1.4 | 2023.44 | 10378.38 |
libraries/cublas/level3 (3) | 30.96 | 0.02 | 0.1 | 5.74 | N/A | 0.86 | 2.8 | 4395.59 | 10378.38 |
libraries/cublas/level3/gemm (5) | 63.82 | 0.02 | 0.0 | 8.95 | N/A | 1.23 | 1.9 | 5417.15 | 2084.90 |
libraries/cublas/xt (5) | 14.97 | 0.00 | 0.0 | 0.98 | N/A | 0.15 | 1.0 | 979.77 | 2377.58 |
libraries/cusparse/generic (3) | 59.02 | 0.06 | 0.1 | 14.28 | N/A | 0.69 | 1.2 | 3813.72 | 10396.62 |
core/device/intrinsics/wmma (3) | 65.32 | 0.01 | 0.0 | 0.63 | N/A | 0.94 | 1.4 | 4837.66 | 11261.78 |
base/sorting (5) | 81.59 | 0.01 | 0.0 | 668.44 | N/A | 4.39 | 5.4 | 13006.34 | 5194.62 |
libraries/cufft (5) | 72.74 | 0.01 | 0.0 | 198.03 | N/A | 1.18 | 1.6 | 6732.35 | 5194.62 |
core/device/intrinsics/atomics (5) | 18.96 | 0.00 | 0.0 | 0.00 | N/A | 0.13 | 0.7 | 992.26 | 5194.62 |
libraries/cusparse/conversions (5) | 23.95 | 0.01 | 0.0 | 1.73 | N/A | 0.37 | 1.6 | 2529.96 | 5194.62 |
libraries/cusolver/dense_generic (5) | 40.67 | 0.01 | 0.0 | 55.05 | N/A | 0.69 | 1.7 | 4201.50 | 5194.62 |
libraries/cusparse/interfaces (3) | 167.86 | 0.16 | 0.1 | 47.33 | N/A | 1.69 | 1.0 | 8230.59 | 11832.97 |
core/device/intrinsics/cooperative_groups (3) | 78.63 | 0.02 | 0.0 | 19.19 | N/A | 0.82 | 1.0 | 2156.64 | 13298.51 |
base/texture (5) | 87.17 | 0.00 | 0.0 | 0.10 | N/A | 0.99 | 1.1 | 3681.69 | 5194.62 |
core/device/intrinsics (3) | 34.64 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 689.94 | 13453.25 |
libraries/cublas/level1 (5) | 62.89 | 0.01 | 0.0 | 0.03 | N/A | 0.47 | 0.7 | 1867.28 | 5416.89 |
core/device/array (5) | 9.76 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 283.67 | 5416.89 |
libraries/cusparse/bmm (3) | 66.85 | 0.02 | 0.0 | 0.99 | N/A | 1.11 | 1.7 | 3454.02 | 14100.95 |
libraries/cusolver/sparse (3) | 20.82 | 0.00 | 0.0 | 0.22 | N/A | 0.00 | 0.0 | 429.53 | 14100.95 |
base/random (5) | 63.72 | 3.50 | 5.5 | 4352.59 | N/A | 0.44 | 0.7 | 1743.34 | 6719.29 |
core/codegen (5) | 7.46 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 164.26 | 6826.09 |
core/device/intrinsics/memory (3) | 20.70 | 0.00 | 0.0 | 0.02 | N/A | 0.00 | 0.0 | 410.45 | 14206.75 |
core/device/intrinsics/output (3) | 24.66 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 747.03 | 14264.47 |
core/device/intrinsics/math (5) | 49.98 | 0.01 | 0.0 | 0.00 | N/A | 0.37 | 0.7 | 2074.52 | 7532.01 |
libraries/cusparse/device (5) | 1.70 | 0.00 | 0.0 | 0.01 | N/A | 0.00 | 0.0 | 115.58 | 7532.01 |
libraries/cusolver/multigpu (5) | 13.07 | 0.00 | 0.0 | 545.60 | N/A | 0.00 | 0.0 | 519.90 | 7532.01 |
core/device/random (3) | 39.88 | 0.01 | 0.0 | 0.37 | N/A | 0.83 | 2.1 | 2476.74 | 14413.74 |
core/device/ldg (5) | 6.53 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 588.13 | 7532.01 |
libraries/cusolver/base (5) | 0.08 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 1.78 | 7532.01 |
core/pointer (5) | 0.42 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 14.34 | 7532.01 |
base/broadcast (5) | 12.81 | 0.02 | 0.2 | 0.00 | N/A | 0.14 | 1.1 | 1130.10 | 7532.01 |
core/nvml (5) | 0.74 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 60.23 | 7532.01 |
libraries/cusparse/broadcast (3) | 61.63 | 0.01 | 0.0 | 0.13 | N/A | 1.00 | 1.6 | 5687.32 | 14815.96 |
libraries/cusparse/linalg (5) | 44.19 | 0.04 | 0.1 | 6.78 | N/A | 0.77 | 1.7 | 5339.95 | 7532.01 |
libraries/cusolver/sparse_factorizations (5) | 8.42 | 0.00 | 0.0 | 2.29 | N/A | 0.13 | 1.6 | 1187.93 | 7532.01 |
base/exceptions (3) | 258.46 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 8.06 | 14815.96 |
base/iterator (3) | 2.53 | 0.00 | 0.0 | 1.93 | N/A | 0.00 | 0.0 | 220.84 | 14815.96 |
base/threading (3) | 1.56 | 0.01 | 0.3 | 10.94 | N/A | 0.00 | 0.0 | 96.83 | 14815.96 |
core/utils (3) | 0.71 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 44.09 | 14815.96 |
core/pool (3) | 7.32 | 0.00 | 0.0 | 0.00 | N/A | 5.10 | 69.7 | 176.90 | 14815.96 |
libraries/cusparse/sparse_matrices_csr (3) | 2.31 | 0.00 | 0.1 | 1.48 | N/A | 0.00 | 0.0 | 80.50 | 14815.96 |
base/linalg (3) | 43.30 | 0.01 | 0.0 | 1554.63 | N/A | 3.07 | 7.1 | 7640.67 | 16330.24 |
libraries/cusparse/reduce (3) | 16.34 | 0.01 | 0.0 | 0.06 | N/A | 0.00 | 0.0 | 1404.97 | 16330.24 |
libraries/staticarrays (3) | 1.24 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 150.89 | 16330.24 |
base/kernelabstractions (3) | 65.84 | 0.08 | 0.1 | 71.03 | N/A | 0.89 | 1.4 | 4243.13 | 16801.58 |
base/examples (3) | 6.41 | 0.00 | 0.0 | 385.30 | N/A | 0.10 | 1.6 | 1189.81 | 16801.58 |
libraries/curand (3) | 0.11 | 0.00 | 0.0 | 0.00 | N/A | 0.00 | 0.0 | 1.89 | 16801.58 |
core/profile (5) | 568.17 | 0.00 | 0.0 | 0.00 | N/A | 3.13 | 0.6 | 9767.90 | 7532.01 |
Testing finished in 40 minutes, 1 second, 826 milliseconds
Test Summary: | Pass Broken Total Time
Overall | 33900 27 33927
SUCCESS
Testing CUDA tests passed
Moreover, I got to know that we don’t need CUDA toolkit for PyTorch CUDA, so I uninstalled it and I am still getting the same error.