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lmul! fails with Component Array on GPU #232

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vpuri3 opened this issue Nov 1, 2023 · 0 comments · May be fixed by #233
Open

lmul! fails with Component Array on GPU #232

vpuri3 opened this issue Nov 1, 2023 · 0 comments · May be fixed by #233

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@vpuri3
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vpuri3 commented Nov 1, 2023

julia> lmul!(false, ComponentArray((; x=CUDA.ones(2))))
ERROR: Scalar indexing is disallowed.                                                                                                                    
Invocation of getindex resulted in scalar indexing of a GPU array.                                                                                       
This is typically caused by calling an iterating implementation of a method.          
Such implementations *do not* execute on the GPU, but very slowly on the CPU,
and therefore are only permitted from the REPL for prototyping purposes.                                                                                 
If you did intend to index this array, annotate the caller with @allowscalar.
Stacktrace:                                                                                                                                              
 [1] error(s::String)  
   @ Base ./error.jl:35                                                     
 [2] assertscalar(op::String)                                                                                                                            
   @ GPUArraysCore ~/.julia/packages/GPUArraysCore/uOYfN/src/GPUArraysCore.jl:103                                                                        
 [3] getindex                                                                                                                                            
   @ LinearAlgebra ~/.julia/packages/GPUArrays/dAUOE/src/host/indexing.jl:48 [inlined]
 [4] getindex                                                                                                                                            
   @ LinearAlgebra ~/.julia/dev/ComponentArrays/src/array_interface.jl:94 [inlined]
 [5] macro expansion                                                                                                                                     
   @ LinearAlgebra ~/.julia/juliaup/julia-1.10.0-beta3+0.x64.linux.gnu/share/julia/stdlib/v1.10/LinearAlgebra/src/generic.jl:221 [inlined]
 [6] macro expansion
   @ LinearAlgebra ./simdloop.jl:77 [inlined]
 [7] lmul!(s::Bool, X::ComponentVector{Float32, CuArray{Float32, 1, CUDA.Mem.DeviceBuffer}, Tuple{Axis{(x = 1:2,)}}})
   @ LinearAlgebra ~/.julia/juliaup/julia-1.10.0-beta3+0.x64.linux.gnu/share/julia/stdlib/v1.10/LinearAlgebra/src/generic.jl:220
 [8] top-level scope
   @ REPL[16]:1
 [9] top-level scope
   @ ~/.julia/packages/CUDA/nbRJk/src/initialization.jl:205
@vpuri3 vpuri3 linked a pull request Nov 1, 2023 that will close this issue
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