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7 changes: 7 additions & 0 deletions src/lib/broadcast.jl
Original file line number Diff line number Diff line change
Expand Up @@ -286,3 +286,10 @@ using GPUArraysCore # replaces @require CUDA block, weird indenting to preserve

pull_block_vert(sz, Δ::AbstractGPUArray, A::Number) = @allowscalar Δ[sz]

∇getindex(x::T, inds::Tuple{AbstractArray{<:Integer}}) where {T <: AbstractGPUArray} = dy -> begin
inds1_cpu = Array(inds[1])
dx = zeros(eltype(dy), length(x))
dxv = view(dx, inds1_cpu)
dxv .= accum.(dxv, _droplike(Array(dy), dxv))
return _project(x, T(dx)), nothing
end
6 changes: 6 additions & 0 deletions test/cuda.jl
Original file line number Diff line number Diff line change
Expand Up @@ -140,3 +140,9 @@ end
@test_skip gradient((x,y) -> sum(vcat(x,y)), 1f0, r, 2f0, r)[2] isa CUDA.CuArray{Float32}
end

@testset "repeated indexing" begin
f(a) = sum(view(a, [1, 1, 2]))
a = CUDA.CuArray([1.0f0, 1.0f0, 1.0f0])
@test f(a) == 3.0f0
@test Array(gradient(f, a)[1]) == [2.0f0, 1.0f0, 0.0f0]
end