diff --git a/ppcls/configs/StrategySearch/person.yaml b/ppcls/configs/StrategySearch/person.yaml
index 996a8ac835ecd6ccd1402197583bf8c29f724b9a..6d105d7ecffcc10f40b7e0262616c2b4c8cbe740 100644
--- a/ppcls/configs/StrategySearch/person.yaml
+++ b/ppcls/configs/StrategySearch/person.yaml
@@ -4,24 +4,24 @@ distill_config_file: ppcls/configs/cls_demo/person/Distillation/PPLCNet_x1_0_dis
 gpus: 0,1,2,3
 output_dir: output/search_person
 search_dict:
-  lrs:
+  - search_key: lrs
     replace_config:
       - Optimizer.lr.learning_rate
     search_values: [0.0075, 0.01, 0.0125]
-  resolutions:
+  - search_key: resolutions
     replace_config:
       - DataLoader.Train.dataset.transform_ops.1.RandCropImage.size
       - DataLoader.Train.dataset.transform_ops.3.TimmAutoAugment.img_size
     search_values: [176, 192, 224]
-  ra_probs:
+  - search_key: ra_probs
     replace_config:
       - DataLoader.Train.dataset.transform_ops.3.TimmAutoAugment.prob
     search_values: [0.0, 0.1, 0.5]
-  re_probs:
+  - search_key: re_probs
     replace_config:
       - DataLoader.Train.dataset.transform_ops.5.RandomErasing.EPSILON
     search_values: [0.0, 0.1, 0.5]
-  lr_mult_list:
+  - search_key: lr_mult_list
     replace_config:
       - Arch.lr_mult_list
     search_values:
diff --git a/tools/search_strategy.py b/tools/search_strategy.py
index e3b85b135c6b804870a9a20a29e226ec87632b45..58d8c171bd2760b9a7df3f910d834f53daa118cb 100644
--- a/tools/search_strategy.py
+++ b/tools/search_strategy.py
@@ -54,9 +54,10 @@ def search_strategy():
     base_output_dir = configs["output_dir"]
     search_dict = configs.get("search_dict")
     all_results = {}
-    for search_key in search_dict:
-        search_values = search_dict[search_key]["search_values"]
-        replace_config = search_dict[search_key]["replace_config"]
+    for search_i in search_dict:
+        search_key = search_i["search_key"]
+        search_values = search_i["search_values"]
+        replace_config = search_i["replace_config"]
         res = search_train(search_values, base_program, base_output_dir, search_key, replace_config, model_name)
         all_results[search_key] = res
         best = res.get("best")
@@ -73,7 +74,6 @@ def search_strategy():
             for ind, ki in enumerate(base_program):
               if rm_k in ki:
                 rm_indices.append(ind)
-        print(rm_indices)
         for rm_index in rm_indices[::-1]:
             teacher_program.pop(rm_index)
             teacher_program.pop(rm_index-1)
@@ -94,9 +94,9 @@ def search_strategy():
         v = final_replace[k]
         base_program[i] = base_program[i].replace(k, v)
 
-    print(all_results, base_program)
     process = subprocess.Popen(base_program)
     process.communicate()
+    print(all_results, base_program)
 
 
 if __name__ == '__main__':