diff --git a/examples/C++/PaddleOCR/ocr/ocr_cpp_client.py b/examples/C++/PaddleOCR/ocr/ocr_cpp_client.py
index 534e24cdf23fca50896b2bbd73cc53a31c320c2d..c66d597b557adaa771822163d4cea341e403f784 100644
--- a/examples/C++/PaddleOCR/ocr/ocr_cpp_client.py
+++ b/examples/C++/PaddleOCR/ocr/ocr_cpp_client.py
@@ -21,6 +21,7 @@ import os
 import cv2
 from paddle_serving_app.reader import Sequential, URL2Image, ResizeByFactor
 from paddle_serving_app.reader import Div, Normalize, Transpose
+from paddle_serving_app.reader import OCRReader
 
 client = Client()
 # TODO:load_client need to load more than one client model.
@@ -44,5 +45,13 @@ for img_file in os.listdir(test_img_dir):
         feed={"image": image},
         fetch=["ctc_greedy_decoder_0.tmp_0", "softmax_0.tmp_0"],
         batch=True)
-    #print("{} {}".format(fetch_map["price"][0], data[0][1][0]))
-    print(fetch_map)
+    result = {}
+    result["score"] = fetch_map["softmax_0.tmp_0"]
+    del fetch_map["softmax_0.tmp_0"]
+    rec_res = OCRReader().postprocess(fetch_map, with_score=False)
+    res_lst = []
+    for res in rec_res:
+        res_lst.append(res[0])
+    result["res"] = res_lst
+
+    print(result)
diff --git a/examples/C++/xpu/bert/README.md b/examples/C++/xpu/bert/README.md
index 676ac361dde376b29ae73cae98bd34a28f55d469..1cafe07a150eadab200d423ba8a826e45b456278 100644
--- a/examples/C++/xpu/bert/README.md
+++ b/examples/C++/xpu/bert/README.md
@@ -7,7 +7,7 @@ tar zxvf bert_base_chinese.tar.gz
 ```
 ### convert model
 ```
-python3 -m paddle_serving_client.convert --dirname bert_base_chinese --model_filename bert_base_chinese/model.pdmodel --params_filename bert_base_chinese/model.pdiparams
+python3 -m paddle_serving_client.convert --dirname bert_base_chinese --model_filename model.pdmodel --params_filename model.pdiparams
 ```
 ### or, you can get the serving saved model directly
 ```
diff --git a/python/paddle_serving_app/reader/batching.py b/python/paddle_serving_app/reader/batching.py
index 5ec5f320cf5ec7bd0ab4624d9b39ef936553c774..4cc85b29bf39d4ea0ed15311cb6c3c6b7dd05fe1 100644
--- a/python/paddle_serving_app/reader/batching.py
+++ b/python/paddle_serving_app/reader/batching.py
@@ -108,7 +108,7 @@ def pad_batch_data(insts,
         input_mask_data = np.array(
             [[1] * len(inst) + [0] * (max_len - len(inst)) for inst in insts])
         input_mask_data = np.expand_dims(input_mask_data, axis=-1)
-        return_list += [input_mask_data.astype("float32")]
+        return_list += [input_mask_data]
 
     if return_max_len:
         return_list += [max_len]