diff --git a/doc/doc_ch/installation.md b/doc/doc_ch/installation.md
index 95a7a52c3800520dc725c00aef9688ee8ad041d8..7e7523b999aa6fdee9bbaa4fb388655e01c28c16 100644
--- a/doc/doc_ch/installation.md
+++ b/doc/doc_ch/installation.md
@@ -30,7 +30,7 @@ sudo nvidia-docker run --name ppocr -v $PWD:/paddle --shm-size=64G --network=hos
 sudo docker container exec -it ppocr /bin/bash
 ```
 
-**2. 安装PaddlePaddle v2.0**
+**2. 安装PaddlePaddle 2.0**
 ```
 pip3 install --upgrade pip
 
diff --git a/doc/doc_en/inference_en.md b/doc/doc_en/inference_en.md
index 48eaaa5aeffc8ae22aa45d68ab3c69e0f81ccbde..aa3e0536cb6a4cb73f0388293ce72183c62e87a1 100755
--- a/doc/doc_en/inference_en.md
+++ b/doc/doc_en/inference_en.md
@@ -6,7 +6,7 @@ The inference model (the model saved by `paddle.jit.save`) is generally a solidi
 The model saved during the training process is the checkpoints model, which saves the parameters of the model and is mostly used to resume training.
 
 Compared with the checkpoints model, the inference model will additionally save the structural information of the model. Therefore, it is easier to deploy because the model structure and model parameters are already solidified in the inference model file, and is suitable for integration with actual systems.
-For more details, please refer to the document [Classification Framework](https://github.com/PaddlePaddle/PaddleClas/blob/master/docs/zh_CN/extension/paddle_inference.md).
+For more details, please refer to the document [Classification Framework](https://github.com/PaddlePaddle/PaddleClas/blob/release%2F2.0/docs/zh_CN/extension/paddle_mobile_inference.md).
 
 Next, we first introduce how to convert a trained model into an inference model, and then we will introduce text detection, text recognition, angle class, and the concatenation of them based on inference model.
 
diff --git a/doc/doc_en/installation_en.md b/doc/doc_en/installation_en.md
index ad29aa23ddd2712714b26c848a00a95cd9ccd5c7..dec384b2f27f8bb36ee67d8b040b532b30e0b028 100644
--- a/doc/doc_en/installation_en.md
+++ b/doc/doc_en/installation_en.md
@@ -33,7 +33,7 @@ You can also visit [DockerHub](https://hub.docker.com/r/paddlepaddle/paddle/tags
 sudo docker container exec -it ppocr /bin/bash
 ```
 
-**2. Install PaddlePaddle v2.0**
+**2. Install PaddlePaddle 2.0**
 ```
 pip3 install --upgrade pip
 
diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py
index 76c6a4478ae37e650901c8b8704e15e4a94911c4..077692afa84a745cb1b1fcb5b2c71f3dd5653013 100755
--- a/tools/infer/predict_det.py
+++ b/tools/infer/predict_det.py
@@ -64,7 +64,7 @@ class TextDetector(object):
             postprocess_params["box_thresh"] = args.det_db_box_thresh
             postprocess_params["max_candidates"] = 1000
             postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio
-            postprocess_params["use_dilation"] = args.use_dilation
+            postprocess_params["use_dilation"] = True
         elif self.det_algorithm == "EAST":
             postprocess_params['name'] = 'EASTPostProcess'
             postprocess_params["score_thresh"] = args.det_east_score_thresh
diff --git a/tools/infer/utility.py b/tools/infer/utility.py
index 3b92c093d8e57154c3298daa6b270529d19211aa..a4a91efdd2ec04e2a2959c77a444549ad413c13d 100755
--- a/tools/infer/utility.py
+++ b/tools/infer/utility.py
@@ -124,6 +124,7 @@ def create_predictor(args, mode, logger):
             # cache 10 different shapes for mkldnn to avoid memory leak
             config.set_mkldnn_cache_capacity(10)
             config.enable_mkldnn()
+            #  TODO LDOUBLEV: fix mkldnn bug when bach_size  > 1
             #config.set_mkldnn_op({'conv2d', 'depthwise_conv2d', 'pool2d', 'batch_norm'})
             args.rec_batch_num = 1