diff --git a/fluid/PaddleCV/HiNAS_models/nn_paddle.py b/fluid/PaddleCV/HiNAS_models/nn_paddle.py
index 8cb30673cef3e2cde48b22c7e950594dfa0ecd56..c91d3d800bee0fdda689c6cd25a689c30a3b6681 100755
--- a/fluid/PaddleCV/HiNAS_models/nn_paddle.py
+++ b/fluid/PaddleCV/HiNAS_models/nn_paddle.py
@@ -94,6 +94,14 @@ class Model(object):
         return [avg_cost, accuracy]
 
     def run(self):
+
+        if FLAGS.enable_ce:
+            import random
+            SEED = 102
+            random.seed(SEED)
+            np.random.seed(SEED)
+            fluid.default_main_program().random_seed = SEED
+            fluid.default_startup_program().random_seed = SEED
         train_files = reader.train10()
         test_files = reader.test10()
 
diff --git a/fluid/PaddleCV/HiNAS_models/reader.py b/fluid/PaddleCV/HiNAS_models/reader.py
index 9448af4e7d578e480f136ba77167136074dd6203..9b28a2ee96c39f0a95030f7b695c67809d890669 100755
--- a/fluid/PaddleCV/HiNAS_models/reader.py
+++ b/fluid/PaddleCV/HiNAS_models/reader.py
@@ -82,8 +82,6 @@ def preprocess(sample, is_training):
         img = (img_float - mean) / std
 
     if is_training and FLAGS.cutout:
-        if FLAGS.enable_ce:
-            np.random.seed(0)
         center = np.random.randint(image_size, size=2)
         offset_width = max(0, center[0] - half_length)
         offset_height = max(0, center[1] - half_length)