use save_persistables

fluid/image_classification/se_resnext.py

 import os
-
 import paddle.v2 as paddle
 import paddle.v2.fluid as fluid
 import reader
@@ -134,7 +133,7 @@ def train(learning_rate,
     exe.run(fluid.default_startup_program())
 
     if init_model is not None:
-        fluid.io.load_params(exe, init_model)
+        fluid.io.load_persistables(exe, init_model)
 
     train_reader = paddle.batch(reader.train(), batch_size=batch_size)
     test_reader = paddle.batch(reader.test(), batch_size=batch_size)
@@ -160,7 +159,9 @@ def train(learning_rate,
             pass_id, pass_acc, test_pass_acc))
 
         model_path = os.path.join(model_save_dir, str(pass_id))
-        fluid.io.save_inference_model(model_path, ['image'], [out], exe)
+        if not os.path.isdir(model_path):
+            os.makedirs(model_path)
+        fluid.io.save_persistables(exe, model_path)
 
 
 if __name__ == '__main__':