diff --git a/deploy/slim/quantization/README.md b/deploy/slim/quantization/README.md
index 42d1ad1adee8519180a143dbfb36dfb5ad0be2cc..f2e92f54a5b456b25445282a38fe30e01fe4fd49 100755
--- a/deploy/slim/quantization/README.md
+++ b/deploy/slim/quantization/README.md
@@ -4,7 +4,7 @@
 
 ## 概述
 
-该示例使用PaddleSlim提供的[量化压缩API](https://paddlepaddle.github.io/PaddleSlim/api/quantization_api/)对检测模型进行压缩。
+该示例使用PaddleSlim提供的[量化压缩API](https://paddlepaddle.github.io/PaddleSlim/api/quantization_api/)对OCR模型进行压缩。
 在阅读该示例前，建议您先了解以下内容：
 
 - [OCR模型的常规训练方法](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/detection.md)
diff --git a/deploy/slim/quantization/quant.py b/deploy/slim/quantization/quant.py
index 70e15de7b91d7a1d20665cc2f5c4b298ca6a999e..eaeb9f22c792bb59ca734ec4b0b408455a865605 100755
--- a/deploy/slim/quantization/quant.py
+++ b/deploy/slim/quantization/quant.py
@@ -179,26 +179,7 @@ def main():
         program.train_eval_rec_run(config, exe, train_info_dict, eval_info_dict)
 
 
-def test_reader():
-    logger.info(config)
-    train_reader = reader_main(config=config, mode="train")
-    import time
-    starttime = time.time()
-    count = 0
-    try:
-        for data in train_reader():
-            count += 1
-            if count % 1 == 0:
-                batch_time = time.time() - starttime
-                starttime = time.time()
-                logger.info("reader:", count, len(data), batch_time)
-    except Exception as e:
-        logger.info(e)
-    logger.info("finish reader: {}, Success!".format(count))
-
-
 if __name__ == '__main__':
     startup_program, train_program, place, config, train_alg_type = program.preprocess(
     )
     main()
-#     test_reader()