CUDA gradient error with broadcasting

[CarloLucibello]

This used to work, but currently fails on CI.
I tried with julia v1.11, Zygote v0.7.10 and CUDA v5.8.5

julia> using Zygote, CUDA

julia> a = Float32.(1:9)
9-element Vector{Float32}:
 1.0
 2.0
 3.0
 4.0
 5.0
 6.0
 7.0
 8.0
 9.0

julia> a_gpu = a |> cu
9-element CuArray{Float32, 1, CUDA.DeviceMemory}:
 1.0
 2.0
 3.0
 4.0
 5.0
 6.0
 7.0
 8.0
 9.0

julia> g3 = gradient(x -> sum(x .^ 3) / count(x .> 3), a)[1]
9-element Vector{Float32}:
  0.5
  2.0
  4.5
  8.0
 12.5
 18.0
 24.5
 32.0
 40.5

julia> gradient(x -> sum(x .^ 3) / count(x .> 3), a_gpu)[1] # WRONG GRADIENT
9-element CuArray{Float32, 1, CUDA.DeviceMemory}:
  0.42857146
  1.7142859
  3.8571432
  6.8571434
 10.714287
 15.428573
 21.000002
 27.428574
 34.714287

[mcabbott]

FWIW this is wrong with other GPUArrays too:

julia> using JLArrays, Zygote

julia> a = Float32.(1:9)
9-element Vector{Float32}:

julia> a_gpu = a |> jl
9-element JLArray{Float32, 1}:

julia> g3 = Zygote.gradient(x -> sum(x .^ 3) / count(x .> 3), a)[1]
9-element Vector{Float32}:
  0.5
  2.0

julia> Zygote.gradient(x -> sum(x .^ 3) / count(x .> 3), a_gpu)[1]   # WRONG
9-element JLArray{Float32, 1}:
  0.42857146
  1.7142859

julia> Zygote.gradient(x -> sum(x .^ 3) / 6, a_gpu)[1]  # fine!
9-element JLArray{Float32, 1}:
  0.5
  2.0
  4.5

julia> Zygote.gradient(x -> count(x .> 3), a_gpu)  # fine
(nothing,)

julia> Zygote.gradient(x -> sum(x .> 3), a_gpu)
(nothing,)

Zygote v0.7.10 + Julia 1.11.6