torch.cuda.empty_cache() defaults to cuda:0 device unless explicitly set otherwise first. Updating torch_gc() to use the device set by --device-id if specified to avoid OOM edge cases on multi-GPU systems.

modules/devices.py

@@ -44,8 +44,18 @@ def get_optimal_device():
 
 def torch_gc():
     if torch.cuda.is_available():
-        torch.cuda.empty_cache()
-        torch.cuda.ipc_collect()
+        from modules import shared
+
+        device_id = shared.cmd_opts.device_id
+        
+        if device_id is not None:
+            cuda_device = f"cuda:{device_id}"
+        else:
+            cuda_device = "cuda"
+        
+        with torch.cuda.device(cuda_device):
+            torch.cuda.empty_cache()
+            torch.cuda.ipc_collect()
 
 
 def enable_tf32():