Error when following example on using multiple GPUs on multiple processes

[theogf]

As described in the discourse post : https://discourse.julialang.org/t/pmap-with-multiple-gpus/47698
When following the example described in https://juliagpu.gitlab.io/CUDA.jl/usage/multigpu/#Scenario-1:-One-GPU-per-process
this error occurs :

[ Info: Worker 6 uses CuDevice(4)                                                                                                                                                                    
[ Info: Worker 2 uses CuDevice(0)                                                                                                                                                                    
[ Info: Worker 3 uses CuDevice(1)                                                                                                                                                                    
[ Info: Worker 8 uses CuDevice(6)                                                                                                                                                                    
[ Info: Worker 7 uses CuDevice(5)            
ERROR: [ Info: Worker 9 uses CuDevice(7)                                                                                                                                                             
[ Info: Worker 5 uses CuDevice(3)                                                                                                                                                                    
[ Info: Worker 4 uses CuDevice(2)                                                                                                                                                                    
LoadError: On worker 2:                                                                                                                                                                              
UndefRefError: access to undefined reference                                                                                                                                                         
getindex at ./array.jl:809 [inlined]                                                                                                                                                                 
context at /home/ubuntu/.julia/packages/CUDA/dZvbp/src/state.jl:242 [inlined]                                                                                                                        
device! at /home/ubuntu/.julia/packages/CUDA/dZvbp/src/state.jl:286                                                                                                                                  
device! at /home/ubuntu/.julia/packages/CUDA/dZvbp/src/state.jl:265 [inlined]                                                                                                                        
#2 at /home/ubuntu/ParticleFlow_Exp/julia/scripts/run_swag.jl:15                                                                                                                                     
#110 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:309                                                                                
run_work_thunk at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:79                                                                       
run_work_thunk at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.5/Distributed/src/process_messages.jl:88                                                                       
#96 at ./task.jl:356                                                                                                                                                                                 
Stacktrace:                                                                                                                                                                                          
 [1] (::Base.var"#770#772")(::Task) at ./asyncmap.jl:178                                                                                                                                             
 [2] foreach(::Base.var"#770#772", ::Array{Any,1}) at ./abstractarray.jl:2009                                                                                                                        
 [3] maptwice(::Function, ::Channel{Any}, ::Array{Any,1}, ::Base.Iterators.Zip{Tuple{Array{Int64,1},CUDA.DeviceSet}}) at ./asyncmap.jl:178                                                           
 [4] wrap_n_exec_twice at ./asyncmap.jl:154 [inlined]                                                                                                                                                
 [5] async_usemap(::var"#1#3", ::Base.Iterators.Zip{Tuple{Array{Int64,1},CUDA.DeviceSet}}; ntasks::Int64, batch_size::Nothing) at ./asyncmap.jl:103                                                  
 [6] #asyncmap#754 at ./asyncmap.jl:81 [inlined]                                                                                                                                                     
 [7] asyncmap(::Function, ::Base.Iterators.Zip{Tuple{Array{Int64,1},CUDA.DeviceSet}}) at ./asyncmap.jl:81       

This is happening with CUDA 1.3.3

[maleadt]

I cannot reproduce. Does this happen consistently? Could you try with CUDA.jl 2.0?
EDIT: ah no I can reproduce on one specific system.