diff --git a/gat/README.md b/gat/README.md
index 7bb71bc17b..d7ae967379 100644
--- a/gat/README.md
+++ b/gat/README.md
@@ -89,6 +89,7 @@ options:
                         epochs to wait for print training and validation evaluation (default: 20)
   --no-cuda             disables CUDA training
   --no-mps              disables macOS GPU training
+  --no-xpu              disables XPU training
   --dry-run             quickly check a single pass
   --seed S              random seed (default: 13)
 ```
diff --git a/gat/main.py b/gat/main.py
index 9c143af8ec..cba703de5c 100644
--- a/gat/main.py
+++ b/gat/main.py
@@ -303,15 +303,17 @@ def test(model, criterion, input, target, mask):
                         help='dimension of the hidden representation (default: 64)')
     parser.add_argument('--num-heads', type=int, default=8,
                         help='number of the attention heads (default: 4)')
-    parser.add_argument('--concat-heads', action='store_true', default=False,
+    parser.add_argument('--concat-heads', action='store_true',
                         help='wether to concatinate attention heads, or average over them (default: False)')
     parser.add_argument('--val-every', type=int, default=20,
                         help='epochs to wait for print training and validation evaluation (default: 20)')
-    parser.add_argument('--no-cuda', action='store_true', default=False,
+    parser.add_argument('--no-cuda', action='store_true',
                         help='disables CUDA training')
-    parser.add_argument('--no-mps', action='store_true', default=False,
+    parser.add_argument('--no-xpu', action='store_true',
+                        help='disables XPU training')
+    parser.add_argument('--no-mps', action='store_true',
                         help='disables macOS GPU training')
-    parser.add_argument('--dry-run', action='store_true', default=False,
+    parser.add_argument('--dry-run', action='store_true',
                         help='quickly check a single pass')
     parser.add_argument('--seed', type=int, default=13, metavar='S',
                         help='random seed (default: 13)')
@@ -320,12 +322,15 @@ def test(model, criterion, input, target, mask):
     torch.manual_seed(args.seed)
     use_cuda = not args.no_cuda and torch.cuda.is_available()
     use_mps = not args.no_mps and torch.backends.mps.is_available()
+    use_xpu = not args.no_xpu and torch.xpu.is_available()
 
     # Set the device to run on
     if use_cuda:
         device = torch.device('cuda')
     elif use_mps:
         device = torch.device('mps')
+    elif use_xpu:
+        device = torch.device('xpu')
     else:
         device = torch.device('cpu')
     print(f'Using {device} device')