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diff --git a/python/paddle/v2/fluid/tests/tmp/inference_model/fc_0.w_0 b/python/paddle/v2/fluid/tests/tmp/inference_model/fc_0.w_0
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diff --git a/python/paddle/v2/framework/tests/test_elementwise_mod_op.py b/python/paddle/v2/framework/tests/test_elementwise_mod_op.py
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--- a/python/paddle/v2/framework/tests/test_elementwise_mod_op.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import unittest
-import numpy as np
-from op_test import OpTest
-
-
-class ElementwiseModOp(OpTest):
-    def setUp(self):
-        self.op_type = "elementwise_mod"
-        """ Warning
-        CPU gradient check error!
-        'X': np.random.randint((32,84)).astype("int32"),
-        'Y': np.random.randint((32,84)).astype("int32")
-        """
-        self.inputs = {
-            'X': np.random.randint(1, 10, [13, 17]).astype("int32"),
-            'Y': np.random.randint(1, 10, [13, 17]).astype("int32")
-        }
-        self.outputs = {'Out': np.mod(self.inputs['X'], self.inputs['Y'])}
-
-    def test_check_output(self):
-        self.check_output()
-
-    def test_check_grad_normal(self):
-        self.check_grad(['X', 'Y'], 'Out', max_relative_error=0.05)
-
-    def test_check_grad_ingore_x(self):
-        self.check_grad(
-            ['Y'], 'Out', max_relative_error=0.05, no_grad_set=set("X"))
-
-    def test_check_grad_ingore_y(self):
-        self.check_grad(
-            ['X'], 'Out', max_relative_error=0.05, no_grad_set=set('Y'))
-
-
-if __name__ == '__main__':
-    unittest.main()