diff --git a/generate_sequence_by_rnn_lm/config.py b/generate_sequence_by_rnn_lm/config.py
index 2085b7ba5f7448fbad26794e30e004b42543ca9a..487885a95d77878fcb347205372a2f8c636dd4e6 100644
--- a/generate_sequence_by_rnn_lm/config.py
+++ b/generate_sequence_by_rnn_lm/config.py
@@ -26,7 +26,7 @@ num_passes = 20  # how many passes to train the model
 log_period = 50
 save_period_by_batches = 50
 
-use_gpu = True  # to use gpu or not
+use_gpu = False  # to use gpu or not
 trainer_count = 1  # number of trainer
 
 ##################  for model configuration  ##################
diff --git a/generate_sequence_by_rnn_lm/train.py b/generate_sequence_by_rnn_lm/train.py
index 2958592748c0fe982972717017dede11c04ebb7e..90125d278fee34f73935e6d8cf940729a8f6a0c6 100644
--- a/generate_sequence_by_rnn_lm/train.py
+++ b/generate_sequence_by_rnn_lm/train.py
@@ -35,8 +35,7 @@ def train(topology,
         os.mkdir(model_save_dir)
 
     # initialize PaddlePaddle
-    paddle.init(
-        use_gpu=conf.use_gpu, gpu_id=3, trainer_count=conf.trainer_count)
+    paddle.init(use_gpu=conf.use_gpu, trainer_count=conf.trainer_count)
 
     # create optimizer
     adam_optimizer = paddle.optimizer.Adam(
diff --git a/nmt_without_attention/train.py b/nmt_without_attention/train.py
index 9600df8e5b70cca90543062b040e6dddc540440c..5604d70d9f796d2561977e166931d092902e25b2 100644
--- a/nmt_without_attention/train.py
+++ b/nmt_without_attention/train.py
@@ -63,4 +63,4 @@ def train(save_dir_path, source_dict_dim, target_dict_dim):
 
 
 if __name__ == '__main__':
-    train(save_dir_path="models", source_dict_dim=3000, target_dict_dim=3000)
+    train(save_dir_path="models", source_dict_dim=30000, target_dict_dim=30000)