diff --git a/PaddleNLP/reading_comprehension/src/run.py b/PaddleNLP/reading_comprehension/src/run.py
index 04379557d60b037e6c84788e642f454767bbd49c..6f28338db3c00a1677ab5a7dd4224ffda2fc2898 100644
--- a/PaddleNLP/reading_comprehension/src/run.py
+++ b/PaddleNLP/reading_comprehension/src/run.py
@@ -26,7 +26,6 @@ import multiprocessing
 
 import paddle
 import paddle.fluid as fluid
-import paddle.fluid.core as core
 import paddle.fluid.framework as framework
 from paddle.fluid.executor import Executor
 
@@ -388,7 +387,7 @@ def train(logger, args):
                 optimizer.minimize(obj_func)
 
             # initialize parameters
-            place = core.CUDAPlace(0) if args.use_gpu else core.CPUPlace()
+            place = fluid.CUDAPlace(0) if args.use_gpu else fluid.CPUPlace()
             exe = Executor(place)
             if args.load_dir:
                 logger.info('load from {}'.format(args.load_dir))
diff --git a/PaddleNLP/similarity_net/run_classifier.py b/PaddleNLP/similarity_net/run_classifier.py
index bf93adac6683a1fecb27a2aa9f79b206b6408bb6..1b9940ecaf24e7415ce6d350a6b13f51ac35bdf6 100644
--- a/PaddleNLP/similarity_net/run_classifier.py
+++ b/PaddleNLP/similarity_net/run_classifier.py
@@ -87,9 +87,9 @@ def train(conf_dict, args):
     metric = fluid.metrics.Auc(name="auc")
     # Get device
     if args.use_cuda:
-        place = fluid.core.CUDAPlace(0)
+        place = fluid.CUDAPlace(0)
     else:
-        place = fluid.core.CPUPlace()
+        place = fluid.CPUPlace()
 
     simnet_process = reader.SimNetProcessor(args, vocab)
     if args.task_mode == "pairwise":
@@ -244,9 +244,9 @@ def test(conf_dict, args):
         model_path = args.init_checkpoint
         # Get device
         if args.use_cuda:
-            place = fluid.core.CUDAPlace(0)
+            place = fluid.CUDAPlace(0)
         else:
-            place = fluid.core.CPUPlace()
+            place = fluid.CPUPlace()
         # Get executor
         executor = fluid.Executor(place=place)
         # Load model
@@ -302,9 +302,9 @@ def infer(args):
     model_path = args.init_checkpoint
     # Get device
     if args.use_cuda:
-        place = fluid.core.CUDAPlace(0)
+        place = fluid.CUDAPlace(0)
     else:
-        place = fluid.core.CPUPlace()
+        place = fluid.CPUPlace()
     # Get executor
     executor = fluid.Executor(place=place)
     # Load model