Fix errors in mps backend

dmf/models/memory.py

@@ -45,9 +45,8 @@ def free(*objects: Any) -> None:
 
     # Handle CUDA and MPS cache clearing
     if torch.cuda.is_available():
+        torch.cuda.ipc_collect()
         torch.cuda.empty_cache()
-    if torch.backends.mps.is_available():
-        torch.mps.empty_cache()
 
     # Explicitly run garbage collection to free up memory
     gc.collect()
@@ -81,11 +80,6 @@ def get_memory_stats(device: Optional[Union[str, torch.device]] = None, format_s
             memory_stats["free"] = torch.cuda.memory_free(device)
             memory_stats["occupied"] = torch.cuda.memory_allocated(device)
             memory_stats["reserved"] = torch.cuda.memory_reserved(device)
-        elif device.type == "mps":
-            # MPS memory stats (only supported in PyTorch 1.13+)
-            memory_stats["free"] = torch.mps.current_reserved_memory() - torch.mps.current_allocated_memory()
-            memory_stats["occupied"] = torch.mps.current_allocated_memory()
-            memory_stats["reserved"] = torch.mps.current_reserved_memory()
         else:
             # CPU memory stats using psutil
             import psutil