diff --git a/python/paddle/fluid/tests/unittests/test_imperative_resnet.py b/python/paddle/fluid/tests/unittests/test_imperative_resnet.py
index d9ef08b3c491b24323bb1469165ed5482737013a..a0cfb27d47fd2320902e35df8fb696a71d244084 100644
--- a/python/paddle/fluid/tests/unittests/test_imperative_resnet.py
+++ b/python/paddle/fluid/tests/unittests/test_imperative_resnet.py
@@ -231,7 +231,8 @@ class TestDygraphResnet(unittest.TestCase):
         seed = 90
 
         batch_size = train_parameters["batch_size"]
-        batch_num = 20
+        batch_num = 10
+
         with fluid.dygraph.guard():
             fluid.default_startup_program().random_seed = seed
             fluid.default_main_program().random_seed = seed
diff --git a/python/paddle/fluid/tests/unittests/test_imperative_resnet_sorted_gradient.py b/python/paddle/fluid/tests/unittests/test_imperative_resnet_sorted_gradient.py
index 77e6fc273423299453be2fde5e6e4cde468f5d0e..74560535074f2550429de79385415162987dab7d 100644
--- a/python/paddle/fluid/tests/unittests/test_imperative_resnet_sorted_gradient.py
+++ b/python/paddle/fluid/tests/unittests/test_imperative_resnet_sorted_gradient.py
@@ -71,7 +71,7 @@ class TestDygraphResnetSortGradient(unittest.TestCase):
         seed = 90
 
         batch_size = train_parameters["batch_size"]
-        batch_num = 20
+        batch_num = 10
         with fluid.dygraph.guard():
             fluid.default_startup_program().random_seed = seed
             fluid.default_main_program().random_seed = seed
diff --git a/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py b/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py
index 3f3f92cde57c80fa4ba3d2f1389cc47efd74ca5b..ae6a73904d6b5d62d56355a4f2b13426a0d8e7f0 100644
--- a/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py
+++ b/python/paddle/fluid/tests/unittests/test_imperative_se_resnext.py
@@ -315,7 +315,7 @@ class TestImperativeResneXt(unittest.TestCase):
         seed = 90
 
         batch_size = train_parameters["batch_size"]
-        batch_num = 2
+        batch_num = 1
         epoch_num = 1
         with fluid.dygraph.guard():
             fluid.default_startup_program().random_seed = seed