diff --git a/python/paddle/fluid/tests/unittests/test_cvm_op.py b/python/paddle/fluid/tests/unittests/test_cvm_op.py
new file mode 100644
index 0000000000000000000000000000000000000000..67c310bd2f1155e4c5492e90a96cbdac9e8a3481
--- /dev/null
+++ b/python/paddle/fluid/tests/unittests/test_cvm_op.py
@@ -0,0 +1,47 @@
+#   Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import numpy as np
+from math import log
+from math import exp
+from op_test import OpTest
+import unittest
+
+
+class TestCVMOp(OpTest):
+    """
+        Test cvm op with discrete one-hot labels.
+    """
+
+    def setUp(self):
+        self.op_type = "cvm"
+        batch_size = 4
+        dims = 11
+        lod = [[1]]
+        self.inputs = {
+            'X': (np.random.uniform(0, 1, [1, dims]).astype("float32"), lod),
+            'CVM': np.array([[0.6, 0.4]]).astype("float32"),
+        }
+        self.attrs = {'use_cvm': False}
+        out = []
+        for index, emb in enumerate(self.inputs["X"][0]):
+            out.append(emb[2:])
+        self.outputs = {'Y': (np.array(out), lod)}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+if __name__ == '__main__':
+    unittest.main()