diff --git a/python/paddle/fluid/tests/unittests/op_test.py b/python/paddle/fluid/tests/unittests/op_test.py
index 01dfb0dabccbbee19ed092aa27887298c0cc690a..ab63ab18abca4b2fb4cc70a8e61b55b8c9b181e4 100644
--- a/python/paddle/fluid/tests/unittests/op_test.py
+++ b/python/paddle/fluid/tests/unittests/op_test.py
@@ -202,8 +202,8 @@ class OpTest(unittest.TestCase):
         if not hasattr(cls, "no_need_check_grad") \
             and cls.op_type not in op_check_grad_white_list.EMPTY_GRAD_OP_LIST:
             if cls.dtype is None or \
-                (cls.dtype in [np.float16, np.int64, np.int32, np.int16] \
-                    and cls.op_type not in op_accuracy_white_list.NO_CHECK_GRAD_OP_LIST \
+                (cls.dtype == np.float16 \
+                    and cls.op_type not in op_accuracy_white_list.NO_FP16_CHECK_GRAD_OP_LIST \
                     and not hasattr(cls, "exist_check_grad")):
                 raise AssertionError("This test of %s op needs check_grad." %
                                      cls.op_type)
diff --git a/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py b/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
index 393d65cc4b8278ba77ed712b81e46ccc65a67dc0..f59c8d607829299a862a16a1ba489e81a11ab766 100755
--- a/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
+++ b/python/paddle/fluid/tests/unittests/test_bilinear_interp_op.py
@@ -16,7 +16,7 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
-from op_test import OpTest, skip_check_grad_ci
+from op_test import OpTest
 import paddle.fluid.core as core
 import paddle.fluid as fluid
 
@@ -315,7 +315,6 @@ class TestBilinearInterpCase1Uint8(TestBilinearInterpOpUint8):
         self.align_mode = 1
 
 
-@skip_check_grad_ci(reason="uint8 type only be used in test and inference.")
 class TestBilinearInterpCase2Uint8(TestBilinearInterpOpUint8):
     def init_test_case(self):
         self.interp_method = 'bilinear'
diff --git a/python/paddle/fluid/tests/unittests/test_lookup_table_op.py b/python/paddle/fluid/tests/unittests/test_lookup_table_op.py
index dc6fa029e4c65d68ef2b82bfcd59cadd2e406707..0ddcdfd8e101ef050a8c2e477e9ebb54d2009f52 100644
--- a/python/paddle/fluid/tests/unittests/test_lookup_table_op.py
+++ b/python/paddle/fluid/tests/unittests/test_lookup_table_op.py
@@ -180,7 +180,6 @@ class TestEmbedOpError(unittest.TestCase):
             fluid.layers.embedding(input=input3, size=(10, 64), dtype='float16')
 
 
-@skip_check_grad_ci(reason="int8 type only be used in test and inference.")
 class TestLookupTableOpInt8(OpTest):
     def setUp(self):
         self.op_type = "lookup_table"
@@ -200,7 +199,6 @@ class TestLookupTableOpInt8(OpTest):
         pass
 
 
-@skip_check_grad_ci(reason="int8 type only be used in test and inference.")
 class TestLookupTableOpWithTensorIdsInt8(OpTest):
     def setUp(self):
         self.op_type = "lookup_table"
@@ -220,7 +218,6 @@ class TestLookupTableOpWithTensorIdsInt8(OpTest):
         pass
 
 
-@skip_check_grad_ci(reason="int8 type only be used in test and inference.")
 class TestLookupTableOpWithPaddingInt8(TestLookupTableOpInt8):
     def test_check_output(self):
         ids = np.squeeze(self.inputs['Ids'])
@@ -235,7 +232,6 @@ class TestLookupTableOpWithPaddingInt8(TestLookupTableOpInt8):
         pass
 
 
-@skip_check_grad_ci(reason="int8 type only be used in test and inference.")
 class TestLookupTableOpWithTensorIdsAndPaddingInt8(
         TestLookupTableOpWithTensorIdsInt8):
     def test_check_output(self):
diff --git a/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py b/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py
index 85c854c95a642b6d78567422e5a20862f4b96096..c6e05edfaaec216627225cd85b472ef5bda4dee7 100755
--- a/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py
+++ b/python/paddle/fluid/tests/unittests/test_nearest_interp_op.py
@@ -16,7 +16,7 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
-from op_test import OpTest, skip_check_grad_ci
+from op_test import OpTest
 import paddle.fluid.core as core
 import paddle.fluid as fluid
 
@@ -278,7 +278,6 @@ class TestNearestNeighborInterpCase1Uint8(TestNearestInterpOpUint8):
         self.align_corners = True
 
 
-@skip_check_grad_ci(reason="int8 type only be used in test and inference.")
 class TestNearestNeighborInterpCase2Uint8(TestNearestInterpOpUint8):
     def init_test_case(self):
         self.interp_method = 'nearest'
diff --git a/python/paddle/fluid/tests/unittests/test_trilinear_interp_op.py b/python/paddle/fluid/tests/unittests/test_trilinear_interp_op.py
index 8cfacabf2d846eaa2098a4b52270f8eeda420f44..e8e025ce6a8c6642736102297589c1f304aeea27 100755
--- a/python/paddle/fluid/tests/unittests/test_trilinear_interp_op.py
+++ b/python/paddle/fluid/tests/unittests/test_trilinear_interp_op.py
@@ -16,7 +16,7 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
-from op_test import OpTest, skip_check_grad_ci
+from op_test import OpTest
 import paddle.fluid.core as core
 import paddle.fluid as fluid
 
@@ -381,7 +381,6 @@ class TestTrilinearInterpCase1Uint8(TestTrilinearInterpOpUint8):
         self.align_mode = 1
 
 
-@skip_check_grad_ci(reason="int8 type only be used in test and inference.")
 class TestTrilinearInterpCase2Uint8(TestTrilinearInterpOpUint8):
     def init_test_case(self):
         self.interp_method = 'trilinear'
diff --git a/python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py b/python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py
index 41512f4954e2beffa51bffa008a8a6a76c2aaa6e..ca8821e1431a1fd14ff06b667675a1dc010a4f98 100644
--- a/python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py
+++ b/python/paddle/fluid/tests/unittests/white_list/op_accuracy_white_list.py
@@ -33,9 +33,6 @@ NO_FP64_CHECK_GRAD_OP_LIST = [
     'trilinear_interp', 'var_conv_2d', 'warpctc'
 ]
 
-NO_CHECK_GRAD_OP_LIST = [
-    'cudnn_lstm', 'elementwise_div', 'elementwise_mul', 'elementwise_pow',
-    'expand', 'fused_elemwise_activation', 'increment', 'match_matrix_tensor',
-    'mul', 'pool2d', 'pool3d', 'relu', 'sigmoid', 'softmax', 'sqrt', 'tanh',
-    'transpose2', 'var_conv_2d'
+NO_FP16_CHECK_GRAD_OP_LIST = [
+    'fused_elemwise_activation', 'pool2d', 'pool3d', 'softmax'
 ]