Open
Description
Describe the bug 🐞
When performing matrix-vector multiplication with a CuArray (GPU array) wrapped inside a ComponentArray, I encounter a MethodError: no method matching unsafe_convert(::Type{Ptr{Float64}}, ::CuPtr{Float64}). This error seems to occur because the custom unsafe_convert method for ComponentArray does not handle GPU arrays (CuArray), causing a failure when trying to perform operations that require conversion to a raw pointer (e.g., matrix-vector multiplication).
Expected behavior
A clear and concise description of what you expected to happen.
Minimal Reproducible Example 👇
# Create a GPU array
gpu_array = CuArray([1.0, 2.0, 3.0])
# Wrap the GPU array in a ComponentArray
comp_array = ComponentArray(a = gpu_array)
# Perform a matrix-vector multiplication with a GPU matrix
A = CuArray(rand(3, 3))
# This does not trigger the error
A * gpu_array
# This triggers the error
A * comp_arrayError & Stacktrace
ERROR: MethodError: no method matching unsafe_convert(::Type{Ptr{Float64}}, ::CuPtr{Float64})
The function `unsafe_convert` exists, but no method is defined for this combination of argument types.
Closest candidates are:
unsafe_convert(::Type{Ptr{T}}, ::Ptr{NTuple{N, T}}) where {N, T}
@ Base refpointer.jl:186
unsafe_convert(::Type{T}, ::T) where T<:Ptr
@ Base essentials.jl:691
unsafe_convert(::Union{Type{Ptr{T}}, Type{Ptr{Nothing}}}, ::Base.RefArray{T, A} where A<:(AbstractArray{T})) where T
@ Base refpointer.jl:126
...
Stacktrace:
[1] gemv!(trans::Char, alpha::Float64, A::CuArray{…}, X::ComponentVector{…}, beta::Float64, Y::CuArray{…})
@ LinearAlgebra.BLAS ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/blas.jl:670
[2] gemv!
@ ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/matmul.jl:450 [inlined]
[3] generic_matvecmul!
@ ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/matmul.jl:79 [inlined]
[4] _mul!
@ ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/matmul.jl:73 [inlined]
[5] mul!
@ ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/matmul.jl:70 [inlined]
[6] mul!
@ ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/matmul.jl:253 [inlined]
[7] *(A::CuArray{Float64, 2, CUDA.DeviceMemory}, x::ComponentVector{Float64, CuArray{…}, Tuple{…}})
@ LinearAlgebra ~/.julia/juliaup/julia-1.11.1+0.x64.linux.gnu/share/julia/stdlib/v1.11/LinearAlgebra/src/matmul.jl:56
[8] top-level scope
@ ~/Documents/GitHub/spline-inspired-NN/src/julia/notebooks/ngd.jl:223
Some type information was truncated. Use `show(err)` to see complete types.Environment (please complete the following information):
- Output of
using Pkg; Pkg.status()
[052768ef] CUDA v5.5.2
[45b445bb] CUDSS v0.3.2
[35d6a980] ColorSchemes v3.27.1
[b0b7db55] ComponentArrays v0.15.19
[a93c6f00] DataFrames v1.7.0
[31a5f54b] Debugger v0.7.10
[7876af07] Example v0.5.5
[56d4f2e9] Gridap v0.18.8
[f67ccb44] HDF5 v0.17.2
[7073ff75] IJulia v1.26.0
[033835bb] JLD2 v0.5.10
[98e50ef6] JuliaFormatter v1.0.62
[2c470bb0] Kronecker v0.5.5
[b964fa9f] LaTeXStrings v1.4.0
[d3d80556] LineSearches v7.3.0
[b2108857] Lux v1.4.1
[d0bbae9a] LuxCUDA v0.3.3
[23992714] MAT v0.10.7
⌃ [1cead3c2] Manifolds v0.10.7
[0fc0a36d] Manopt v0.5.3
[6fafb56a] Memoization v0.2.2
[429524aa] Optim v1.10.0
[3bd65402] Optimisers v0.4.1
[7f7a1694] Optimization v4.0.5
[36348300] OptimizationOptimJL v0.4.1
[42dfb2eb] OptimizationOptimisers v0.3.6
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[d96e819e] Parameters v0.12.3
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[91a5bcdd] Plots v1.40.9
[49802e3a] ProgressBars v1.5.1
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[6099a3de] PythonCall v0.9.23
[274fc56d] PythonPlot v1.0.5
[295af30f] Revise v3.6.4
[899adc3e] TensorBoardLogger v0.1.25
[a759f4b9] TimerOutputs v0.5.26
[98cad3c8] ValueHistories v0.5.4
[d49dbf32] WeightInitializers v1.0.4
[ddb6d928] YAML v0.4.12
[e88e6eb3] Zygote v0.6.73
[9a3f8284] Random v1.11.0
Info Packages marked with ⌃ have new versions available and may be upgradable.- Output of
using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
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[28b8d3ca] GR v0.73.9
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⌃ [0234f1f7] HDF5_jll v1.14.2+1
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[fe0851c0] OpenMPI_jll v5.0.6+0
[458c3c95] OpenSSL_jll v3.0.15+1
[efe28fd5] OpenSpecFun_jll v0.5.5+0
[91d4177d] Opus_jll v1.3.3+0
[36c8627f] Pango_jll v1.54.1+0
⌅ [30392449] Pixman_jll v0.43.4+0
[c0090381] Qt6Base_jll v6.7.1+1
[629bc702] Qt6Declarative_jll v6.7.1+2
[ce943373] Qt6ShaderTools_jll v6.7.1+1
[e99dba38] Qt6Wayland_jll v6.7.1+1
[a44049a8] Vulkan_Loader_jll v1.3.243+0
[a2964d1f] Wayland_jll v1.21.0+1
[2381bf8a] Wayland_protocols_jll v1.31.0+0
[02c8fc9c] XML2_jll v2.13.5+0
[aed1982a] XSLT_jll v1.1.42+0
[ffd25f8a] XZ_jll v5.6.3+0
[f67eecfb] Xorg_libICE_jll v1.1.1+0
[c834827a] Xorg_libSM_jll v1.2.4+0
[4f6342f7] Xorg_libX11_jll v1.8.6+1
[0c0b7dd1] Xorg_libXau_jll v1.0.11+1
[935fb764] Xorg_libXcursor_jll v1.2.0+4
[a3789734] Xorg_libXdmcp_jll v1.1.4+1
[1082639a] Xorg_libXext_jll v1.3.6+1
[d091e8ba] Xorg_libXfixes_jll v5.0.3+4
[a51aa0fd] Xorg_libXi_jll v1.7.10+4
[d1454406] Xorg_libXinerama_jll v1.1.4+4
[ec84b674] Xorg_libXrandr_jll v1.5.2+4
[ea2f1a96] Xorg_libXrender_jll v0.9.11+0
[14d82f49] Xorg_libpthread_stubs_jll v0.1.1+1
[c7cfdc94] Xorg_libxcb_jll v1.17.0+1
[cc61e674] Xorg_libxkbfile_jll v1.1.2+0
[e920d4aa] Xorg_xcb_util_cursor_jll v0.1.4+0
[12413925] Xorg_xcb_util_image_jll v0.4.0+1
[2def613f] Xorg_xcb_util_jll v0.4.0+1
[975044d2] Xorg_xcb_util_keysyms_jll v0.4.0+1
[0d47668e] Xorg_xcb_util_renderutil_jll v0.3.9+1
[c22f9ab0] Xorg_xcb_util_wm_jll v0.4.1+1
[35661453] Xorg_xkbcomp_jll v1.4.6+0
[33bec58e] Xorg_xkeyboard_config_jll v2.39.0+0
[c5fb5394] Xorg_xtrans_jll v1.5.0+1
[8f1865be] ZeroMQ_jll v4.3.5+1
[3161d3a3] Zstd_jll v1.5.6+1
[1e29f10c] demumble_jll v1.3.0+0
[35ca27e7] eudev_jll v3.2.9+0
[214eeab7] fzf_jll v0.56.3+0
[1a1c6b14] gperf_jll v3.1.1+1
[477f73a3] libaec_jll v1.1.2+0
[a4ae2306] libaom_jll v3.9.0+0
[0ac62f75] libass_jll v0.15.2+0
[1183f4f0] libdecor_jll v0.2.2+0
[2db6ffa8] libevdev_jll v1.11.0+0
[f638f0a6] libfdk_aac_jll v2.0.3+0
[36db933b] libinput_jll v1.18.0+0
[b53b4c65] libpng_jll v1.6.44+0
[a9144af2] libsodium_jll v1.0.20+1
[f27f6e37] libvorbis_jll v1.3.7+2
[f8abcde7] micromamba_jll v1.5.8+0
[009596ad] mtdev_jll v1.1.6+0
[1317d2d5] oneTBB_jll v2021.12.0+0
⌅ [1270edf5] x264_jll v2021.5.5+0
⌅ [dfaa095f] x265_jll v3.5.0+0
[d8fb68d0] xkbcommon_jll v1.4.1+1
[0dad84c5] ArgTools v1.1.2
[56f22d72] Artifacts v1.11.0
[2a0f44e3] Base64 v1.11.0
[8bf52ea8] CRC32c v1.11.0
[ade2ca70] Dates v1.11.0
[8ba89e20] Distributed v1.11.0
[f43a241f] Downloads v1.6.0
[7b1f6079] FileWatching v1.11.0
[9fa8497b] Future v1.11.0
[b77e0a4c] InteractiveUtils v1.11.0
[4af54fe1] LazyArtifacts v1.11.0
[b27032c2] LibCURL v0.6.4
[76f85450] LibGit2 v1.11.0
[8f399da3] Libdl v1.11.0
[37e2e46d] LinearAlgebra v1.11.0
[56ddb016] Logging v1.11.0
[d6f4376e] Markdown v1.11.0
[a63ad114] Mmap v1.11.0
[ca575930] NetworkOptions v1.2.0
[44cfe95a] Pkg v1.11.0
[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 v1.11.0
[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 v1.1.1+0
[deac9b47] LibCURL_jll v8.6.0+0
[e37daf67] LibGit2_jll v1.7.2+0
[29816b5a] LibSSH2_jll v1.11.0+1
[c8ffd9c3] MbedTLS_jll v2.28.6+0
[14a3606d] MozillaCACerts_jll v2023.12.12
[4536629a] OpenBLAS_jll v0.3.27+1
[05823500] OpenLibm_jll v0.8.1+2
[efcefdf7] PCRE2_jll v10.42.0+1
[bea87d4a] SuiteSparse_jll v7.7.0+0
[83775a58] Zlib_jll v1.2.13+1
[8e850b90] libblastrampoline_jll v5.11.0+0
[8e850ede] nghttp2_jll v1.59.0+0
[3f19e933] p7zip_jll v17.4.0+2
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`- Output of
versioninfo()
Julia Version 1.11.1
Commit 8f5b7ca12ad (2024-10-16 10:53 UTC)
Build Info:
Official https://julialang.org/ release
Platform Info:
OS: Linux (x86_64-linux-gnu)
CPU: 32 × Intel(R) Core(TM) i9-14900KF
WORD_SIZE: 64
LLVM: libLLVM-16.0.6 (ORCJIT, alderlake)
Threads: 1 default, 0 interactive, 1 GC (on 32 virtual cores)
Environment:
JULIA_EDITOR = code
JULIA_NUM_THREADS =
LD_GOLD = /home/ivan/anaconda3/envs/jax_fenicsx/bin/x86_64-conda-linux-gnu-ld.gold
Activity