[Bug] `UnifiedMemory` buffer changes during LinearAlgebra operations

[kmp5VT]

Describe the bug

Linear algebra does not preserve buffer type.

To reproduce

The Minimal Working Example (MWE) for this bug:

using Pkg
Pkg.activate(temp=true)
Pkg.add("CUDA")
using CUDA
using LinearAlgebra
m = CuArray{Float64, 2, CUDA.UnifiedMemory}(rand(160,40))
USV = svd(m; alg=CUDA.CUSOLVER.QRAlgorithm())
@show typeof(USV.U)
  CuArray{Float64, 2, CUDA.DeviceMemory}

Manifest.toml

(jl_3A5ggZ) pkg> st
Status `/tmp/jl_3A5ggZ/Project.toml`
  [052768ef] CUDA v5.5.2

Expected behavior

The UnifiedMemory buffer should be preserved in the result of linear algebra.

Version info

Details on Julia:

julia> versioninfo()
Julia Version 1.11.0
Commit 501a4f25c2b (2024-10-07 11:40 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 32 × Intel(R) Xeon(R) Gold 6244 CPU @ 3.60GHz
  WORD_SIZE: 64
  LLVM: libLLVM-16.0.6 (ORCJIT, cascadelake)
Threads: 1 default, 0 interactive, 1 GC (on 32 virtual cores)

Details on CUDA:

julia> CUDA.versioninfo()
CUDA runtime 12.6, artifact installation
CUDA driver 12.6
NVIDIA driver 550.107.2

CUDA libraries: 
- CUBLAS: 12.6.3
- CURAND: 10.3.7
- CUFFT: 11.3.0
- CUSOLVER: 11.7.1
- CUSPARSE: 12.5.4
- CUPTI: 2024.3.2 (API 24.0.0)
- NVML: 12.0.0+550.107.2

Julia packages: 
- CUDA: 5.5.2
- CUDA_Driver_jll: 0.10.3+0
- CUDA_Runtime_jll: 0.15.3+0

Toolchain:
- Julia: 1.11.0
- LLVM: 16.0.6

1 device:
  0: NVIDIA RTX A6000 (sm_86, 44.586 GiB / 47.988 GiB available)

[maleadt]

#2534