[Modify] Append map_location for load different device model to anoth…

…er type device

src/gnnwr/models.py

@@ -426,18 +426,20 @@ def predict_weight(self, dataset):
                 result = torch.cat((result, weight), 0)
         result = result.cpu().detach().numpy()
         return result
-    def load_model(self, path, use_dict=False):
+
+    def load_model(self, path, use_dict=False, map_location=None):
         """
         load model from the path
 
         :param path: the path of the model
         :param use_dict: whether use dict to load the model
+        :param map_location: map location
         """
         if use_dict:
-            data = torch.load(path).state_dict()
+            data = torch.load(path, map_location=map_location).state_dict()
             self._model.load_state_dict(data)
         else:
-            self._model = torch.load(path)
+            self._model = torch.load(path, map_location=map_location)
         self.__istrained = True
 
     def getLoss(self):