diff --git a/python/paddle/fluid/tests/unittests/test_reduce_op.py b/python/paddle/fluid/tests/unittests/test_reduce_op.py
index 20b850714f7f0d6ef7c215e037f595ad05eaade7..2a1f8d3d551d6a55d3130dd2f48e7a9d1920fcd2 100644
--- a/python/paddle/fluid/tests/unittests/test_reduce_op.py
+++ b/python/paddle/fluid/tests/unittests/test_reduce_op.py
@@ -16,7 +16,7 @@ from __future__ import print_function
 
 import unittest
 import numpy as np
-from op_test import OpTest
+from op_test import OpTest, skip_check_grad_ci
 import paddle.fluid.core as core
 import paddle.fluid as fluid
 from paddle.fluid import compiler, Program, program_guard
@@ -51,6 +51,9 @@ class TestMeanOp(OpTest):
         self.check_grad(['X'], 'Out')
 
 
+@skip_check_grad_ci(
+    reason="reduce_max is discontinuous non-derivable function,"
+    " its gradient check is not supported by unittest framework.")
 class TestMaxOp(OpTest):
     """Remove Max with subgradient from gradient check to confirm the success of CI."""
 
@@ -66,6 +69,9 @@ class TestMaxOp(OpTest):
         self.check_output()
 
 
+@skip_check_grad_ci(
+    reason="reduce_min is discontinuous non-derivable function,"
+    " its gradient check is not supported by unittest framework.")
 class TestMinOp(OpTest):
     """Remove Min with subgradient from gradient check to confirm the success of CI."""
 
@@ -271,6 +277,9 @@ class TestReduceMeanOpMultiAxises(OpTest):
         self.check_grad(['X'], 'Out')
 
 
+@skip_check_grad_ci(
+    reason="reduce_max is discontinuous non-derivable function,"
+    " its gradient check is not supported by unittest framework.")
 class TestReduceMaxOpMultiAxises(OpTest):
     """Remove Max with subgradient from gradient check to confirm the success of CI."""
 
@@ -286,6 +295,9 @@ class TestReduceMaxOpMultiAxises(OpTest):
         self.check_output()
 
 
+@skip_check_grad_ci(
+    reason="reduce_min is discontinuous non-derivable function,"
+    " its gradient check is not supported by unittest framework.")
 class TestReduceMinOpMultiAxises(OpTest):
     """Remove Min with subgradient from gradient check to confirm the success of CI."""