Fix the matmul test case, avoid double and float precision diff

reduce the pricision of test case for matmul

python/paddle/fluid/tests/unittests/test_matmul_op.py

@@ -253,10 +253,14 @@ class API_TestMm(unittest.TestCase):
             exe = fluid.Executor(fluid.CPUPlace())
             data1 = np.random.rand(3, 2)
             data2 = np.random.rand(2, 3)
-            np_res, np_y_1 = exe.run(feed={'x': data1,
+            np_res, expected_result = exe.run(feed={'x': data1,
                                                     'y': data2},
                                               fetch_list=[res, y_1])
-        self.assertEqual((np_res == np_y_1).all(), True)
+        self.assertTrue(
+            np.allclose(
+                np.array(np_res), np.array(expected_result), atol=1e-5),
+            "two value is\
+            {}\n{}, check diff!".format(np_res, expected_result))
 
         with fluid.program_guard(fluid.Program()):
             x = fluid.data(name="x", shape=[2], dtype="float64")
@@ -270,7 +274,11 @@ class API_TestMm(unittest.TestCase):
             expected_result = np.matmul(
                 data1.reshape(1, 2), data2.reshape(2, 1))
 
-        self.assertEqual((np_res == expected_result).all(), True)
+        self.assertTrue(
+            np.allclose(
+                np_res, expected_result, atol=1e-5),
+            "two value is\
+            {}\n{}, check diff!".format(np_res, expected_result))
 
 
 class API_TestMmError(unittest.TestCase):