diff --git a/python/paddle/fluid/tests/unittests/op_test.py b/python/paddle/fluid/tests/unittests/op_test.py
index 972e44c9528a29417d9689dcb2408b9381346f31..44cd073379f293a1114c2c77fa80d35d112d4fb8 100644
--- a/python/paddle/fluid/tests/unittests/op_test.py
+++ b/python/paddle/fluid/tests/unittests/op_test.py
@@ -56,8 +56,8 @@ def get_numeric_gradient(place,
 
     def get_output():
         sum = []
+        op.run(scope, place)
         for output_name in output_names:
-            op.run(scope, place)
             sum.append(
                 np.array(scope.find_var(output_name).get_tensor()).mean())
         return np.array(sum).mean()
diff --git a/python/paddle/fluid/tests/unittests/testsuite.py b/python/paddle/fluid/tests/unittests/testsuite.py
index 31ae25f02c6fab0d68e83a131ace054d4eb56c12..34fbb1b549cf5fc5f75bcc0715e5c83665f1d200 100644
--- a/python/paddle/fluid/tests/unittests/testsuite.py
+++ b/python/paddle/fluid/tests/unittests/testsuite.py
@@ -153,9 +153,6 @@ def append_input_output(block, op_proto, np_list, is_input, dtype):
 
 def append_loss_ops(block, output_names):
     mean_inputs = list(map(block.var, output_names))
-    # for item in mean_inputs:
-    #     print(item)
-    #     print("Item", item.dtype)
 
     if len(mean_inputs) == 1:
         loss = block.create_var(dtype=mean_inputs[0].dtype, shape=[1])