test=develop

python/paddle/fluid/layers/detection.py

@@ -2010,9 +2010,10 @@ def box_clip(input, im_info, name=None):
     output = helper.create_variable_for_type_inference(dtype=input.dtype)
     inputs = {"Input": input, "ImInfo": im_info}
     helper.append_op(type="box_clip", inputs=inputs, outputs={"Output": output})
-    
+
     return output
 
+
 def multiclass_nms(bboxes,
                    scores,
                    score_threshold,

python/paddle/fluid/tests/test_detection.py

@@ -479,6 +479,7 @@ class TestBoxClip(unittest.TestCase):
             out = layers.box_clip(input_box, im_info)
             self.assertIsNotNone(out)
 
+
 class TestMulticlassNMS(unittest.TestCase):
     def test_multiclass_nms(self):
         program = Program()