diff --git a/python/paddle/fluid/tests/unittests/test_dropout_op.py b/python/paddle/fluid/tests/unittests/test_dropout_op.py
index 29460d07dfd41724092ca51de3f7a5571ea4e7ae..cf66e703c82dc03cde54230e26046a1e1e910abc 100644
--- a/python/paddle/fluid/tests/unittests/test_dropout_op.py
+++ b/python/paddle/fluid/tests/unittests/test_dropout_op.py
@@ -36,7 +36,7 @@ class TestDropoutOp(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['X'], 'Out', max_relative_error=0.05)
+        self.check_grad(['X'], 'Out')
 
 
 class TestDropoutOp2(TestDropoutOp):
diff --git a/python/paddle/fluid/tests/unittests/test_pad_constant_like.py b/python/paddle/fluid/tests/unittests/test_pad_constant_like.py
index 4abfa363fafa5caf71ca42e6b68731fb0d27cf4c..17cbd11bf7a4130ea9945a9a0e9ffcb26aba1069 100644
--- a/python/paddle/fluid/tests/unittests/test_pad_constant_like.py
+++ b/python/paddle/fluid/tests/unittests/test_pad_constant_like.py
@@ -40,7 +40,7 @@ class TestPadOp(OpTest):
         self.check_output()
 
     def test_check_grad_normal(self):
-        self.check_grad(['Y'], 'Out', max_relative_error=0.006)
+        self.check_grad(['Y'], 'Out')
 
     def initTestCase(self):
         self.x_shape = (16, 16)
diff --git a/python/paddle/fluid/tests/unittests/test_sequence_softmax_op.py b/python/paddle/fluid/tests/unittests/test_sequence_softmax_op.py
index ca66ea3f844222103cf2583f45ba1f15a42403df..eb956484de0b6daf4f54ad42306289c99e722474 100644
--- a/python/paddle/fluid/tests/unittests/test_sequence_softmax_op.py
+++ b/python/paddle/fluid/tests/unittests/test_sequence_softmax_op.py
@@ -61,10 +61,9 @@ class TestSequenceSoftmaxOp(OpTest):
     def test_check_grad(self):
         if self.use_cudnn:
             place = core.CUDAPlace(0)
-            self.check_grad_with_place(
-                place, ["X"], "Out", max_relative_error=0.01)
+            self.check_grad_with_place(place, ["X"], "Out")
         else:
-            self.check_grad(["X"], "Out", max_relative_error=0.01)
+            self.check_grad(["X"], "Out")
 
 
 # ----------------cudnn Sequencesoftmax----------------