Matrix-vector multiplication with CuArray does not work (unsafe_convert error)

[IvanBioli]

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_array

Error & 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
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⌃ [1cead3c2] Manifolds v0.10.7
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Info Packages marked with ⌃ have new versions available and may be upgradable.

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  [81d17ec3] L_BFGS_B_jll v3.0.1+0
⌅ [e9f186c6] Libffi_jll v3.2.2+1
  [d4300ac3] Libgcrypt_jll v1.11.0+0
  [7e76a0d4] Libglvnd_jll v1.7.0+0
  [7add5ba3] Libgpg_error_jll v1.50.0+0
  [94ce4f54] Libiconv_jll v1.17.0+1
  [4b2f31a3] Libmount_jll v2.40.2+0
  [89763e89] Libtiff_jll v4.7.0+0
  [38a345b3] Libuuid_jll v2.40.2+0
  [856f044c] MKL_jll v2024.2.0+0
  [7cb0a576] MPICH_jll v4.2.3+0
  [f1f71cc9] MPItrampoline_jll v5.5.1+0
  [9237b28f] MicrosoftMPI_jll v10.1.4+3
  [e98f9f5b] NVTX_jll v3.1.0+2
  [e7412a2a] Ogg_jll v1.3.5+1
  [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