feat: pytorch benchmarks support mps device

[donaldkuck]

Add MPS support and centralize device selection

Add get_device() function in pytorch_utils.py supporting CUDA, MPS, and CPU
Refactor 26 PyTorch model files to use centralized device selection
Enable automatic MPS device selection on Apple Silicon devices
The device selection priority is: CUDA > MPS > CPU

[donaldkuck]

FAILED model/test_general_nn.py::TestNN::test_both_dataset - RuntimeError: MPS backend out of memory (MPS allocated: 8.00 MiB, other allocations: 16.00 KiB, max allowed: 7.93 GiB). Tried to allocate 256 bytes on shared pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to disable upper limit for memory allocations (may cause system failure).
FAILED test_contrib_model.py::TestAllFlow::test_0_initialize - RuntimeError: MPS backend out of memory (MPS allocated: 8.00 MiB, other allocations: 0 bytes, max allowed: 7.93 GiB). Tried to allocate 256 bytes on shared pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to disable upper limit for memory allocations (may cause system failure).
= 2 failed, 51 passed, 1 skipped, 10 deselected, 23 warnings in 288.46s (0:04:48) =

I think the failure is not because of the codes.