Correctness issue when indexing "big" `oneArray`s

I was debugging some [Buildkite CI errors](https://buildkite.com/julialang/komamri-dot-jl/builds/1617) in KomaMRI and narrowed the issue down to indexing into a matrix that's “too big.” This is a MWE:

```julia
using oneAPI
x = randn(Float32, 513, 3)
x_one = convert(oneArray, x)
```

```julia-repl
julia> y = x[:, 1:2]
513×2 Matrix{Float32}:
-0.785065 0.605889
-0.138269 -0.886778
-0.418909 -0.302653
-0.0957128 -0.974546
⋮
-0.486535 -0.594906
1.42615 -1.00182
0.0519026 -0.0332484

julia> y_one = x_one[:, 1:2]
513×2 oneArray{Float32, 2, oneAPI.oneL0.DeviceBuffer}:
-0.785065 0.0
-0.138269 0.0
-0.418909 0.0
-0.0957128 0.0
⋮
-0.486535 0.0
1.42615 -1.00182
0.0519026 -0.0332484
```
Which is very interesting, as it does not happen when using `view`s:

```julia-repl
julia> y = @view x[:, 1:2]
513×2 view(::Matrix{Float32}, :, 1:2) with eltype Float32:
-0.785065 0.605889
-0.138269 -0.886778
-0.418909 -0.302653
-0.0957128 -0.974546
⋮
-0.486535 -0.594906
1.42615 -1.00182
0.0519026 -0.0332484

julia> y_one = @view x_one[:, 1:2]
513×2 oneArray{Float32, 2, oneAPI.oneL0.DeviceBuffer}:
-0.785065 0.605889
-0.138269 -0.886778
-0.418909 -0.302653
-0.0957128 -0.974546
⋮
-0.486535 -0.594906
1.42615 -1.00182
0.0519026 -0.0332484
```

I am using Julia 1.11.6 and oneAPI 2.0.3. Not really sure what could be the cause, but when I use `x = randn(Float32, 512, 3)` it starts working again, so it seems to be related to the size of the array.

Start by running the provided Julia MWE with oneAPI 2.0.3, comparing ordinary indexing with the working @view case for 513×3 and 512×3 arrays. Trace the indexing path responsible for copying x_one[:, 1:2]; done means the copied result preserves both columns for the larger array, with a regression test covering the boundary size.

Written by the indexing model from the issue text.