fix yolo series act run.py (#1426)

example/auto_compression/pytorch_yolo_series/run.py

@@ -60,7 +60,7 @@ def eval_function(exe, compiled_test_program, test_feed_names, test_fetch_list):
         score_threshold=0.001,
         nms_threshold=0.65,
         multi_label=True,
-        num_top_k=global_config.get('nms_num_top_k', 30000))
+        nms_top_k=global_config.get('nms_num_top_k', 30000))
     with tqdm(
             total=len(val_loader),
             bar_format='Evaluation stage, Run batch:|{bar}| {n_fmt}/{total_fmt}',
@@ -71,10 +71,7 @@ def eval_function(exe, compiled_test_program, test_feed_names, test_fetch_list):
                            feed={test_feed_names[0]: data_all['image']},
                            fetch_list=test_fetch_list,
                            return_numpy=False)
-            res = postprocess(
-                np.array(outs[0]),
-                data_all['scale_factor'],
-                nms_top_k=global_config.get('nms_num_top_k', 30000))
+            res = postprocess(np.array(outs[0]), data_all['scale_factor'])
             bboxes_list.append(res['bbox'])
             bbox_nums_list.append(res['bbox_num'])
             image_id_list.append(np.array(data_all['im_id']))