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using CuArrays
x =cu(rand(5))
xx =reshape(x', 5)
typeof(xx) # ok: Base.ReshapedArray{Float32,1,LinearAlgebra.Adjoint{Float32,CuArray{Float32,1,Nothing}},Tuple{}}typeof(-xx) # WTF: Array{Float32,1}
This is because the code that defines broadcast styles in GPUArrays.broadcast.jl only defines them for adapted types for the nested level of 1.
I guess one possible workaround would be
broadcastable(x::Base.ReshapedArray) =broadcastable(x.parent)
# etc etc for LinearAlgebra.Adjoint and others
I am not sure, however, if this would break other things, and whether it should sit within JuliaGPU or in Base
The text was updated successfully, but these errors were encountered:
We don't support nested wrappers, JuliaGPU/Adapt.jl#21, doing so would require an ever increasing number of method definitions while we really need something structural (e.g., JuliaLang/julia#31563).
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MWE:
This is because the code that defines broadcast styles in
GPUArrays.broadcast.jl
only defines them for adapted types for the nested level of 1.I guess one possible workaround would be
I am not sure, however, if this would break other things, and whether it should sit within JuliaGPU or in Base
The text was updated successfully, but these errors were encountered: