Fix critical device handling issues that cause cache mismatches and unnecessary reloads:
1. Cache 'auto' device resolution (torch_device_resolver.py)
- 'auto' device now cached after first resolution
- Prevents cache key instability when device availability changes mid-session
- Add reset_device_cache() for manual reset if needed
- Fixes: GPU memory pressure causing unexpected CPU fallback
2. Fix device comparison in unified interface (unified_model_interface.py)
- Resolve both target and wrapper device before comparison
- Handle both string and torch.device object representations
- Fixes: Device type mismatch causing models to stay on wrong device
3. Consolidate device resolution (base_node.py)
- Replace duplicate resolve_device() with centralized torch_device_resolver
- Now supports MPS (Apple Silicon), CUDA, XPU, and CPU consistently
- Fixes: Missing MPS/XPU detection in base node
Impact:
- Eliminates unnecessary model reloads in long sessions
- Consistent device handling across all node types
- Better GPU memory management with stable cache keys
diodiogod
9f2166a297