diff --git a/python/paddle/fluid/tests/unittests/test_pool_max_op.py b/python/paddle/fluid/tests/unittests/test_pool_max_op.py
index 8905c900dc97ddb8bf7db59857a7261e16338219..4b3c777ccf3b12f6895bba2b70887d07aa977d19 100644
--- a/python/paddle/fluid/tests/unittests/test_pool_max_op.py
+++ b/python/paddle/fluid/tests/unittests/test_pool_max_op.py
@@ -141,6 +141,7 @@ class TestMaxPoolWithIndex_Op(OpTest):
         self.init_adaptive()
 
         input = np.random.random(self.shape).astype("float64")
+        input = np.round(input * 100., 2)
         output, mask = self.pool_forward_naive(input, self.ksize, self.strides,
                                                self.paddings, self.global_pool,
                                                self.adaptive)
@@ -161,15 +162,15 @@ class TestMaxPoolWithIndex_Op(OpTest):
     def test_check_output(self):
         self.check_output()
 
-    # def test_check_grad(self):
-    #     self.check_grad(set(['X']), ['Out'], max_relative_error=0.07)
+    def test_check_grad(self):
+        self.check_grad(set(['X']), ['Out'])
 
     def init_test_case(self):
         self.op_type = "max_pool3d_with_index"
         self.pool_forward_naive = max_pool3D_forward_naive
-        self.shape = [2, 3, 5, 5, 5]
+        self.shape = [2, 3, 7, 7, 7]
         self.ksize = [3, 3, 3]
-        self.strides = [1, 1, 1]
+        self.strides = [2, 2, 2]
         self.paddings = [1, 1, 1]
 
     def init_global(self):
diff --git a/python/paddle/fluid/tests/unittests/test_spectral_norm_op.py b/python/paddle/fluid/tests/unittests/test_spectral_norm_op.py
index 104df2efed0f52c0d1dd471da03dff538a63ffdd..cf19aa9b85d39b3ddaf0d5172decd0979b2fa23f 100644
--- a/python/paddle/fluid/tests/unittests/test_spectral_norm_op.py
+++ b/python/paddle/fluid/tests/unittests/test_spectral_norm_op.py
@@ -16,7 +16,7 @@ from __future__ import division
 
 import unittest
 import numpy as np
-from op_test import OpTest
+from op_test import OpTest, skip_check_grad_ci
 
 from paddle.fluid import core
 
@@ -45,6 +45,10 @@ def spectral_norm(weight, u, v, dim, power_iters, eps):
     return weight / sigma
 
 
+@skip_check_grad_ci(
+    reason="Spectral norm do not check grad when power_iters > 0 "
+    "because grad is not calculated in power iterations, "
+    "which cannot be checked by python grad unittests")
 class TestSpectralNormOpNoGrad(OpTest):
     def setUp(self):
         self.initTestCase()
@@ -81,6 +85,10 @@ class TestSpectralNormOpNoGrad(OpTest):
         self.eps = 1e-12
 
 
+@skip_check_grad_ci(
+    reason="Spectral norm do not check grad when power_iters > 0 "
+    "because grad is not calculated in power iterations, "
+    "which cannot be checked by python grad unittests")
 class TestSpectralNormOpNoGrad2(TestSpectralNormOpNoGrad):
     def initTestCase(self):
         self.weight_shape = (2, 3, 3, 3)