add use xpu option, *test=kunlun

train.py

@@ -120,6 +120,12 @@ def parse_args():
         help='The option of train profiler. If profiler_options is not None, the train ' \
             'profiler is enabled. Refer to the paddleseg/utils/train_profiler.py for details.'
     )
+    parser.add_argument(
+        '--device',
+        dest='device',
+        help='Device place, which can be GPU, XPU, CPU',
+        default='gpu',
+        type=str)
 
     return parser.parse_args()
 
@@ -137,8 +143,12 @@ def main(args):
                      ['-' * 48])
     logger.info(info)
 
-    place = 'gpu' if env_info['Paddle compiled with cuda'] and env_info[
-        'GPUs used'] else 'cpu'
+    if args.device == 'gpu' and env_info['Paddle compiled with cuda'] and and env_info['GPUs used']:
+        place = 'gpu'
+    elif args.device == 'xpu' and paddle.is_compiled_with_xpu():
+        place = 'xpu'
+    else:
+        place = 'cpu'
 
     paddle.set_device(place)
     if not args.cfg: