diff --git a/fluid/DeepQNetwork/DuelingDQN_agent.py b/fluid/DeepQNetwork/DuelingDQN_agent.py
index d6224ef34a2cb1ec0a09d9ed2e87a2f89ab82142..271a767b7b5841cf1abe213fc477859e3cf5dd05 100644
--- a/fluid/DeepQNetwork/DuelingDQN_agent.py
+++ b/fluid/DeepQNetwork/DuelingDQN_agent.py
@@ -158,7 +158,8 @@ class DuelingDQNModel(object):
             for i, var in enumerate(policy_vars):
                 sync_op = fluid.layers.assign(policy_vars[i], target_vars[i])
                 sync_ops.append(sync_op)
-        sync_program = sync_program.prune(sync_ops)
+        # The prune API is deprecated, please don't use it any more.
+        sync_program = sync_program._prune(sync_ops)
         return sync_program
 
     def act(self, state, train_or_test):
diff --git a/fluid/DeepQNetwork/atari.py b/fluid/DeepQNetwork/atari.py
index 46b7542019121b36e3e8923dba350e1d8a71fa34..ec793cba15ddc1c42986689eaad5773875a4ffde 100644
--- a/fluid/DeepQNetwork/atari.py
+++ b/fluid/DeepQNetwork/atari.py
@@ -9,7 +9,7 @@ import gym
 from gym import spaces
 from gym.envs.atari.atari_env import ACTION_MEANING
 
-from ale_python_interface import ALEInterface
+from atari_py import ALEInterface
 
 __all__ = ['AtariPlayer']