diff --git a/python/paddle/v2/fluid/tests/test_maxout_op.py b/python/paddle/v2/fluid/tests/test_maxout_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..a7c47108f114fd9dc45eeae64a0dd17d11ce2c0d
--- /dev/null
+++ b/python/paddle/v2/fluid/tests/test_maxout_op.py
@@ -0,0 +1,41 @@
+import unittest
+import numpy as np
+from op_test import OpTest
+
+
+def maxout_forward_naive(input, groups,num_channels):
+    s0, s1, s2, s3 = input.shape
+    return np.ndarray([s0, s1 / groups, groups, s2, s3], \
+        buffer = input, dtype=input.dtype).max(axis=(2))
+
+
+class TestMaxOutOp(OpTest):
+    def setUp(self):
+        self.op_type = "maxout"
+        self.init_test_case()
+        input = np.random.random(self.shape).astype("float32")
+        output = self.MaxOut_forward_naive(input, self.groups,
+                self.num_channels).astype("float32")
+
+        self.inputs = {'X': input}
+        self.attrs = {'groups': self.groups, 'num_channels': self.num_channels}
+
+        self.outputs = {'Out': output.astype('float32')}
+
+    def test_check_output(self):
+        self.check_output()
+
+    def test_check_grad(self):
+        self.check_grad(['X'], 'Out')
+
+    def init_test_case(self):
+        self.MaxOut_forward_naive = maxout_forward_naive
+        self.shape = [100, 6, 2, 2]
+        self.groups=2
+        self.num_channels=6
+
+
+
+
+if __name__ == '__main__':
+    unittest.main()