refine op_test (#12846)

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

@@ -56,8 +56,8 @@ def get_numeric_gradient(place,
 
     def get_output():
         sum = []
-        for output_name in output_names:
         op.run(scope, place)
+        for output_name in output_names:
             sum.append(
                 np.array(scope.find_var(output_name).get_tensor()).mean())
         return np.array(sum).mean()

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])