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Working with the neuro dataset from RDatasets, I could not convert a vector with missing data into a CuArray:
julia> cu(neuro.V1)
ERROR: CuArray does not yet support union bits types
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:33
[2] CuArray{Union{Missing, Float64}, 1}(#unused#::UndefInitializer, dims::Tuple{Int64})
@ CUDA ~/.julia/packages/CUDA/Zmd60/src/array.jl:18
[3] (CuArray{Union{Missing, Float64}, N} where N)(#unused#::UndefInitializer, dims::Tuple{Int64})
The text was updated successfully, but these errors were encountered:
I tried to see what it might take to run DataFrames.jl on GPUs as discussed in JuliaData/DataFrames.jl#2713
Working with the
neuro
dataset from RDatasets, I could not convert a vector with missing data into aCuArray
:The text was updated successfully, but these errors were encountered: