Indexing CuArrays with Empty Ranges Errors

[ChrisRackauckas]

MWE:

using CuArrays
p = rand(10)
p[1:0] # works
cu(p)[1:0] # errors

DivideError: integer division error
div at int.jl:230 [inlined]
div at div.jl:215 [inlined]
div at div.jl:270 [inlined]
cld at div.jl:227 [inlined]
configurator at gpuarrays.jl:27 [inlined]
#cudacall#216 at execution.jl:259 [inlined]
cudacall at execution.jl:258 [inlined]
macro expansion at execution.jl:242 [inlined]
#call#204 at execution.jl:219 [inlined]
call at execution.jl:219 [inlined]
#_#223 at execution.jl:472 [inlined]
(::Core.var"#Any##kw")(::NamedTuple{(:config,),Tuple{CuArrays.var"#configurator#50"{Int64}}}, ::CUDAnative.HostKernel{GPUArrays.index_kernel,Tuple{CuArrays.CuKernelContext,CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global},CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global},Tuple{Int64},Tuple{UnitRange{Int64}}}}, ::CuArrays.CuKernelContext, ::CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global}, ::CUDAnative.CuDeviceArray{Float32,1,CUDAnative.AS.Global}, ::Tuple{Int64}, ::Tuple{UnitRange{Int64}}) at execution.jl:472
macro expansion at execution.jl:158 [inlined]
gpu_call(::CuArrays.CuArrayBackend, ::Function, ::Tuple{CuArray{Float32,1,Nothing},CuArray{Float32,1,Nothing},Tuple{Int64},Tuple{UnitRange{Int64}}}, ::Int64; name::Nothing) at gpuarrays.jl:32
gpu_call at gpuarrays.jl:23 [inlined]
#gpu_call#1 at execution.jl:60 [inlined]
gpu_call at execution.jl:46 [inlined]
_unsafe_getindex! at indexing.jl:125 [inlined]
_unsafe_getindex at multidimensional.jl:741 [inlined]
_getindex at multidimensional.jl:727 [inlined]
getindex at abstractarray.jl:980 [inlined]
applychain(::Tuple{var"#13#14",FastDense{typeof(tanh),DiffEqFlux.var"#initial_params#75"{typeof(Flux.glorot_uniform),typeof(Flux.zeros),Int64,Int64}},FastDense{typeof(identity),DiffEqFlux.var"#initial_params#75"{typeof(Flux.glorot_uniform),typeof(Flux.zeros),Int64,Int64}}}, ::CuArray{Float32,1,Nothing}, ::CuArray{Float32,1,Nothing}) at fast_layers.jl:20
(::FastChain{Tuple{var"#13#14",FastDense{typeof(tanh),DiffEqFlux.var"#initial_params#75"{typeof(Flux.glorot_uniform),typeof(Flux.zeros),Int64,Int64}},FastDense{typeof(identity),DiffEqFlux.var"#initial_params#75"{typeof(Flux.glorot_uniform),typeof(Flux.zeros),Int64,Int64}}}})(::CuArray{Float32,1,Nothing}, ::CuArray{Float32,1,Nothing}) at fast_layers.jl:21
top-level scope at test.jl:57

[maleadt]

Similar to JuliaGPU/GPUArrays.jl#264

[DrChainsaw]

Same issue even? The fix is not included in a release yet.

[ChrisRackauckas]

Oh yes, looks like it's fixed on master.

[ChrisRackauckas]

Could we get a GPUArrays release?

[maleadt]

JuliaRegistries/General#13382