Element-wise conversion to Duals

[ChrisRackauckas]

MWE:

using ForwardDiff
a = CuArray(ForwardDiff.Dual{Nothing}.([1.0,2.0,3.0]))
b = [1.0,2.0,3.0]
convert.(eltype(a),b) # Works
convert.(eltype(a),CuArray(b)) # Fails

[vpuri3]

Looks like this is fixed now.

julia> using ForwardDiff

julia> a = CuArray(ForwardDiff.Dual{Nothing}.([1.0,2.0,3.0]))
3-element CuArray{ForwardDiff.Dual{Nothing, Float64, 0}, 1, CUDA.Mem.DeviceBuffer}:
 Dual{Nothing}(1.0)
 Dual{Nothing}(2.0)
 Dual{Nothing}(3.0)

julia> b = [1.0,2.0,3.0]
3-element Vector{Float64}:
 1.0
 2.0
 3.0

julia> convert.(eltype(a),b) # Works
3-element Vector{ForwardDiff.Dual{Nothing, Float64, 0}}:
 Dual{Nothing}(1.0)
 Dual{Nothing}(2.0)
 Dual{Nothing}(3.0)

julia> convert.(eltype(a),CuArray(b)) # Works
3-element CuArray{ForwardDiff.Dual{Nothing, Float64, 0}, 1, CUDA.Mem.DeviceBuffer}:
 Dual{Nothing}(1.0)
 Dual{Nothing}(2.0)
 Dual{Nothing}(3.0)

julia> versioninfo()
Julia Version 1.10.0-beta3
Commit 404750f8586 (2023-10-03 12:53 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 24 × Intel(R) Core(TM) i9-7920X CPU @ 2.90GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, skylake-avx512)
  Threads: 30 on 24 virtual cores
Environment:
  JULIA_NUM_PRECOMPILE_TASKS = 24
  JULIA_DEPOT_PATH = /home/vedantpu/.julia
  JULIA_PKG_DEVDIR = /home/vedantpu/.julia/dev

(MyPkg) pkg> st CUDA ForwardDiff
Project GeometryLearning v0.0.1
Status `~/.julia/dev/GeometryLearning.jl/Project.toml`
  [052768ef] CUDA v5.0.0
  [f6369f11] ForwardDiff v0.10.36

[maleadt]

Great, thanks for checking!