Add comprehensive memory cache clearing aligned with ComfyUI patterns to improve stability and reduce OOM incidents in multi-device scenarios.
**Addresses Memory/Garbage Collection Issues:**
- Created `soft_empty_cache_multigpu()` function in device_utils.py
- Replicates ComfyUI's cache clearing for all devices (CUDA, MPS, XPU, NPU, MLU)
- Includes CUDA IPC collect optimization like ComfyUI
- Strategically placed calls before major memory allocations
**Addresses CLIP loading issues:**
- Fixed DisTorch2 device device varibale management before text encoder operations
**`soft_empty_cache_multigpu()` implementation Aligned with ComfyUI's Patterns:**
- Called after GC operations
- Placed before major memory allocations
- Matches ComfyUI's proven memory management strategy
- Same device clearing logic for multi-device scenarios
Refactor device detection into dedicated utility module
- Extract device enumeration and compatibility checks to device_utils.py
- Add support for additional device types (NPU, MLU, DirectML, CoreX)
- Update all modules to use centralized device utilities
- Implement caching for device list to improve performance
- Reduce code duplication across distorch, nodes, and wanvideo modules
John Pollock