diff --git a/python/paddle/v2/framework/tests/test_pool2d_cudnn_op.py b/python/paddle/v2/framework/tests/test_pool2d_cudnn_op.py
deleted file mode 100644
index 8180468014b35bd80dcf474c476558f0587a4ebc..0000000000000000000000000000000000000000
--- a/python/paddle/v2/framework/tests/test_pool2d_cudnn_op.py
+++ /dev/null
@@ -1,144 +0,0 @@
-import unittest
-import numpy as np
-from op_test import OpTest
-
-
-def max_pool2D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
-
-    N, C, H, W = x.shape
-    if global_pool == 1:
-        ksize = [H, W]
-    H_out = (H - ksize[0] + 2 * paddings[0]) / strides[0] + 1
-    W_out = (W - ksize[1] + 2 * paddings[1]) / strides[1] + 1
-    out = np.zeros((N, C, H_out, W_out))
-    for i in xrange(H_out):
-        for j in xrange(W_out):
-            r_start = np.max((i * strides[0] - paddings[0], 0))
-            r_end = np.min((i * strides[0] + ksize[0] - paddings[0], H))
-            c_start = np.max((j * strides[1] - paddings[1], 0))
-            c_end = np.min((j * strides[1] + ksize[1] - paddings[1], W))
-            x_masked = x[:, :, r_start:r_end, c_start:c_end]
-
-            out[:, :, i, j] = np.max(x_masked, axis=(2, 3))
-    return out
-
-
-def avg_pool2D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
-
-    N, C, H, W = x.shape
-    if global_pool == 1:
-        ksize = [H, W]
-    H_out = (H - ksize[0] + 2 * paddings[0]) / strides[0] + 1
-    W_out = (W - ksize[1] + 2 * paddings[1]) / strides[1] + 1
-    out = np.zeros((N, C, H_out, W_out))
-    for i in xrange(H_out):
-        for j in xrange(W_out):
-            r_start = np.max((i * strides[0] - paddings[0], 0))
-            r_end = np.min((i * strides[0] + ksize[0] - paddings[0], H))
-            c_start = np.max((j * strides[1] - paddings[1], 0))
-            c_end = np.min((j * strides[1] + ksize[1] - paddings[1], W))
-            x_masked = x[:, :, r_start:r_end, c_start:c_end]
-
-            out[:, :, i, j] = np.sum(x_masked, axis=(2, 3)) / (
-                (r_end - r_start) * (c_end - c_start))
-    return out
-
-
-class TestPool2d_cudnn_Op(OpTest):
-    def setUp(self):
-        self.initTestCase()
-        input = np.random.random(self.shape).astype("float32")
-        output = self.pool2D_forward_naive(input, self.ksize, self.strides,
-                                           self.paddings, self.global_pool)
-        self.inputs = {'X': input}
-
-        self.attrs = {
-            'strides': self.strides,
-            'paddings': self.paddings,
-            'ksize': self.ksize,
-            'poolingType': self.pool_type,
-            'globalPooling': self.global_pool,
-        }
-
-        self.outputs = {'Out': output}
-
-    def test_check_output(self):
-        self.check_output()
-
-    def test_check_grad(self):
-        if self.pool_type != "max":
-            self.check_grad(set(['X']), 'Out', max_relative_error=0.07)
-
-    def initTestCase(self):
-        self.global_pool = True
-        self.op_type = "pool2d_cudnn"
-        self.pool_type = "avg"
-        self.pool2D_forward_naive = avg_pool2D_forward_naive
-        self.shape = [2, 3, 5, 5]
-        self.ksize = [3, 3]
-        self.strides = [1, 1]
-        self.paddings = [0, 0]
-
-
-class TestCase1(TestPool2d_cudnn_Op):
-    def initTestCase(self):
-        self.global_pool = False
-        self.op_type = "pool2d_cudnn"
-        self.pool_type = "avg"
-        self.pool2D_forward_naive = avg_pool2D_forward_naive
-        self.shape = [2, 3, 7, 7]
-        self.ksize = [3, 3]
-        self.strides = [1, 1]
-        self.paddings = [0, 0]
-
-
-class TestCase2(TestPool2d_cudnn_Op):
-    def initTestCase(self):
-        self.global_pool = False
-        self.op_type = "pool2d_cudnn"
-        self.pool_type = "avg"
-        self.pool2D_forward_naive = avg_pool2D_forward_naive
-        self.shape = [2, 3, 7, 7]
-        self.ksize = [3, 3]
-        self.strides = [1, 1]
-        self.paddings = [1, 1]
-
-
-class TestCase3(TestPool2d_cudnn_Op):
-    def initTestCase(self):
-        self.global_pool = True
-        self.op_type = "pool2d_cudnn"
-        self.pool_type = "max"
-        self.pool2D_forward_naive = max_pool2D_forward_naive
-        self.shape = [2, 3, 5, 5]
-        self.ksize = [3, 3]
-        self.strides = [1, 1]
-        self.paddings = [0, 0]
-
-
-class TestCase4(TestPool2d_cudnn_Op):
-    def initTestCase(self):
-        self.global_pool = False
-        self.op_type = "pool2d_cudnn"
-        self.pool_type = "max"
-        self.pool2D_forward_naive = max_pool2D_forward_naive
-        self.shape = [2, 3, 7, 7]
-        self.ksize = [3, 3]
-        self.strides = [1, 1]
-        self.paddings = [0, 0]
-
-
-class TestCase5(TestPool2d_cudnn_Op):
-    def initTestCase(self):
-        self.global_pool = False
-        self.op_type = "pool2d_cudnn"
-        self.pool_type = "max"
-        self.pool2D_forward_naive = max_pool2D_forward_naive
-        self.shape = [2, 3, 7, 7]
-        self.ksize = [3, 3]
-        self.strides = [1, 1]
-        self.paddings = [1, 1]
-
-
-if __name__ == '__main__':
-    unittest.main()
diff --git a/python/paddle/v2/framework/tests/test_pool2d_op.py b/python/paddle/v2/framework/tests/test_pool2d_op.py
index 2941fda81b23998072810d8c6f6597a6f3db7e30..be2aa64967f6e1dc4d8ab69f57f75f120b7ffa3b 100644
--- a/python/paddle/v2/framework/tests/test_pool2d_op.py
+++ b/python/paddle/v2/framework/tests/test_pool2d_op.py
@@ -46,7 +46,9 @@ def avg_pool2D_forward_naive(x, ksize, strides, paddings=[0, 0], global_pool=0):
 
 class TestPool2d_Op(OpTest):
     def setUp(self):
-        self.initTestCase()
+        self.init_test_case()
+        self.init_op_type()
+        self.init_pool_type()
         input = np.random.random(self.shape).astype("float32")
         output = self.pool2D_forward_naive(input, self.ksize, self.strides,
                                            self.paddings, self.global_pool)
@@ -69,76 +71,197 @@ class TestPool2d_Op(OpTest):
         if self.pool_type != "max":
             self.check_grad(set(['X']), 'Out', max_relative_error=0.07)
 
-    def initTestCase(self):
+    def init_test_case(self):
         self.global_pool = True
-        self.op_type = "pool2d"
-        self.pool_type = "avg"
         self.pool2D_forward_naive = avg_pool2D_forward_naive
         self.shape = [2, 3, 5, 5]
         self.ksize = [3, 3]
         self.strides = [1, 1]
         self.paddings = [0, 0]
 
+    def init_op_type(self):
+        self.op_type = "pool2d"
+
+    def init_pool_type(self):
+        self.pool_type = "avg"
+
 
 class TestCase1(TestPool2d_Op):
-    def initTestCase(self):
+    def init_test_case(self):
         self.global_pool = False
-        self.op_type = "pool2d"
-        self.pool_type = "avg"
         self.pool2D_forward_naive = avg_pool2D_forward_naive
         self.shape = [2, 3, 7, 7]
         self.ksize = [3, 3]
         self.strides = [1, 1]
         self.paddings = [0, 0]
 
+    def init_op_type(self):
+        self.op_type = "pool2d"
+
+    def init_pool_type(self):
+        self.pool_type = "avg"
+
 
 class TestCase2(TestPool2d_Op):
-    def initTestCase(self):
+    def init_test_case(self):
         self.global_pool = False
-        self.op_type = "pool2d"
-        self.pool_type = "avg"
         self.pool2D_forward_naive = avg_pool2D_forward_naive
         self.shape = [2, 3, 7, 7]
         self.ksize = [3, 3]
         self.strides = [1, 1]
         self.paddings = [1, 1]
 
+    def init_op_type(self):
+        self.op_type = "pool2d"
+
+    def init_pool_type(self):
+        self.pool_type = "avg"
+
 
 class TestCase3(TestPool2d_Op):
-    def initTestCase(self):
+    def init_test_case(self):
         self.global_pool = True
-        self.op_type = "pool2d"
-        self.pool_type = "max"
         self.pool2D_forward_naive = max_pool2D_forward_naive
         self.shape = [2, 3, 5, 5]
         self.ksize = [3, 3]
         self.strides = [1, 1]
         self.paddings = [0, 0]
 
+    def init_op_type(self):
+        self.op_type = "pool2d"
+
+    def init_pool_type(self):
+        self.pool_type = "max"
+
 
 class TestCase4(TestPool2d_Op):
-    def initTestCase(self):
+    def init_test_case(self):
         self.global_pool = False
-        self.op_type = "pool2d"
-        self.pool_type = "max"
         self.pool2D_forward_naive = max_pool2D_forward_naive
         self.shape = [2, 3, 7, 7]
         self.ksize = [3, 3]
         self.strides = [1, 1]
         self.paddings = [0, 0]
 
+    def init_op_type(self):
+        self.op_type = "pool2d"
+
+    def init_pool_type(self):
+        self.pool_type = "max"
+
 
 class TestCase5(TestPool2d_Op):
-    def initTestCase(self):
+    def init_test_case(self):
         self.global_pool = False
+        self.pool2D_forward_naive = max_pool2D_forward_naive
+        self.shape = [2, 3, 7, 7]
+        self.ksize = [3, 3]
+        self.strides = [1, 1]
+        self.paddings = [1, 1]
+
+    def init_op_type(self):
         self.op_type = "pool2d"
+
+    def init_pool_type(self):
+        self.pool_type = "max"
+
+
+#--------------------test pool2d_cudnn--------------------
+class TestCaseCudnn1(TestPool2d_Op):
+    def init_test_case(self):
+        self.global_pool = True
+        self.pool2D_forward_naive = avg_pool2D_forward_naive
+        self.shape = [2, 3, 5, 5]
+        self.ksize = [3, 3]
+        self.strides = [1, 1]
+        self.paddings = [0, 0]
+
+    def init_op_type(self):
+        self.op_type = "pool2d_cudnn"
+
+    def init_pool_type(self):
+        self.pool_type = "avg"
+
+
+class TestCaseCudnn2(TestPool2d_Op):
+    def init_test_case(self):
+        self.global_pool = False
+        self.pool2D_forward_naive = avg_pool2D_forward_naive
+        self.shape = [2, 3, 7, 7]
+        self.ksize = [3, 3]
+        self.strides = [1, 1]
+        self.paddings = [0, 0]
+
+    def init_op_type(self):
+        self.op_type = "pool2d_cudnn"
+
+    def init_pool_type(self):
+        self.pool_type = "avg"
+
+
+class TestCaseCudnn3(TestPool2d_Op):
+    def init_test_case(self):
+        self.global_pool = False
+        self.pool2D_forward_naive = avg_pool2D_forward_naive
+        self.shape = [2, 3, 7, 7]
+        self.ksize = [3, 3]
+        self.strides = [1, 1]
+        self.paddings = [1, 1]
+
+    def init_op_type(self):
+        self.op_type = "pool2d_cudnn"
+
+    def init_pool_type(self):
+        self.pool_type = "avg"
+
+
+class TestCaseCudnn4(TestPool2d_Op):
+    def init_test_case(self):
+        self.global_pool = True
+        self.pool2D_forward_naive = max_pool2D_forward_naive
+        self.shape = [2, 3, 5, 5]
+        self.ksize = [3, 3]
+        self.strides = [1, 1]
+        self.paddings = [0, 0]
+
+    def init_op_type(self):
+        self.op_type = "pool2d_cudnn"
+
+    def init_pool_type(self):
+        self.pool_type = "max"
+
+
+class TestCaseCudnn5(TestPool2d_Op):
+    def init_test_case(self):
+        self.global_pool = False
+        self.pool2D_forward_naive = max_pool2D_forward_naive
+        self.shape = [2, 3, 7, 7]
+        self.ksize = [3, 3]
+        self.strides = [1, 1]
+        self.paddings = [0, 0]
+
+    def init_op_type(self):
+        self.op_type = "pool2d_cudnn"
+
+    def init_pool_type(self):
         self.pool_type = "max"
+
+
+class TestCaseCudnn6(TestPool2d_Op):
+    def init_test_case(self):
+        self.global_pool = False
         self.pool2D_forward_naive = max_pool2D_forward_naive
         self.shape = [2, 3, 7, 7]
         self.ksize = [3, 3]
         self.strides = [1, 1]
         self.paddings = [1, 1]
 
+    def init_op_type(self):
+        self.op_type = "pool2d_cudnn"
+
+    def init_pool_type(self):
+        self.pool_type = "max"
+
 
 if __name__ == '__main__':
     unittest.main()