diff --git a/deploy/pdserving/det_local_server.py b/deploy/pdserving/det_local_server.py
index 2f7ee249502825e10358b7019e63fc45ce48d996..8659dd5b295b3889c803ef96510dd2c6a250033f 100644
--- a/deploy/pdserving/det_local_server.py
+++ b/deploy/pdserving/det_local_server.py
@@ -41,7 +41,7 @@ class TextDetectorHelper(TextDetector):
         elif self.det_algorithm == "EAST":
             self.fetch = ["sigmoid_0.tmp_0", "tmp_2"]
         elif self.det_algorithm == "DB":
-            self.fetch = ["sigmoid_0.tmp_0"]
+            self.fetch = ["save_infer_model/scale_0.tmp_0"]
 
     def preprocess(self, img):
         img = img.copy()
diff --git a/deploy/pdserving/det_rpc_server.py b/deploy/pdserving/det_rpc_server.py
index 0d311cd974a48eb8cd03cda76da75ae3bf8ca0f8..3bc0579dcebedfd8d7e267fed2b6aa4d9fe03843 100644
--- a/deploy/pdserving/det_rpc_server.py
+++ b/deploy/pdserving/det_rpc_server.py
@@ -41,7 +41,7 @@ class TextDetectorHelper(TextDetector):
         elif self.det_algorithm == "EAST":
             self.fetch = ["sigmoid_0.tmp_0", "tmp_2"]
         elif self.det_algorithm == "DB":
-            self.fetch = ["sigmoid_0.tmp_0"]
+            self.fetch = ["save_infer_model/scale_0.tmp_0"]
 
     def preprocess(self, img):
         im, ratio_list = self.preprocess_op(img)
diff --git a/deploy/pdserving/params.py b/deploy/pdserving/params.py
index 6d0ecf988ff76db5784866639c8594428e326049..9d0b082fb983776053619353ca8736e8c3dc8d79 100644
--- a/deploy/pdserving/params.py
+++ b/deploy/pdserving/params.py
@@ -14,7 +14,7 @@ def read_params():
 
     #params for text detector
     cfg.det_algorithm = "DB"
-    cfg.det_model_dir = "./det_mv_server/"
+    cfg.det_model_dir = "./det_infer_server/"
     cfg.det_max_side_len = 960
 
     #DB parmas
@@ -29,7 +29,7 @@ def read_params():
 
     #params for text recognizer
     cfg.rec_algorithm = "CRNN"
-    cfg.rec_model_dir = "./ocr_rec_server/"
+    cfg.rec_model_dir = "./rec_infer_server/"
 
     cfg.rec_image_shape = "3, 32, 320"
     cfg.rec_char_type = 'ch'
@@ -41,7 +41,7 @@ def read_params():
 
     #params for text classifier
     cfg.use_angle_cls = True
-    cfg.cls_model_dir = "./ocr_clas_server/"
+    cfg.cls_model_dir = "./cls_infer_server/"
     cfg.cls_image_shape = "3, 48, 192"
     cfg.label_list = ['0', '180']
     cfg.cls_batch_num = 30
diff --git a/deploy/pdserving/rec_local_server.py b/deploy/pdserving/rec_local_server.py
index b3ec74103bcbd37cfd4e8243c07731380597b3d5..40266e3112d464f8161ad0dc94dfb192b317f62c 100644
--- a/deploy/pdserving/rec_local_server.py
+++ b/deploy/pdserving/rec_local_server.py
@@ -36,7 +36,7 @@ class TextRecognizerHelper(TextRecognizer):
     def __init__(self, args):
         super(TextRecognizerHelper, self).__init__(args)
         if self.loss_type == "ctc":
-            self.fetch = ["ctc_greedy_decoder_0.tmp_0", "softmax_0.tmp_0"]
+            self.fetch = ["save_infer_model/scale_0.tmp_0", "save_infer_model/scale_1.tmp_0"]
 
     def preprocess(self, img_list):
         img_num = len(img_list)
@@ -83,8 +83,8 @@ class TextRecognizerHelper(TextRecognizer):
         if self.loss_type == "ctc":
             rec_idx_batch = outputs[0]
             predict_batch = outputs[1]
-            rec_idx_lod = args["ctc_greedy_decoder_0.tmp_0.lod"]
-            predict_lod = args["softmax_0.tmp_0.lod"]
+            rec_idx_lod = args["save_infer_model/scale_0.tmp_0.lod"]
+            predict_lod = args["save_infer_model/scale_1.tmp_0.lod"]
             indices = args["indices"]
             rec_res = [['', 0.0]] * (len(rec_idx_lod) - 1)
             for rno in range(len(rec_idx_lod) - 1):
diff --git a/deploy/pdserving/rec_rpc_server.py b/deploy/pdserving/rec_rpc_server.py
index 59282373a6733446293c6ac85192a77653faff67..cb43eb990ffec679aabd5ab1408572529c3a2737 100644
--- a/deploy/pdserving/rec_rpc_server.py
+++ b/deploy/pdserving/rec_rpc_server.py
@@ -35,7 +35,7 @@ class TextRecognizerHelper(TextRecognizer):
     def __init__(self, args):
         super(TextRecognizerHelper, self).__init__(args)
         if self.loss_type == "ctc":
-            self.fetch = ["ctc_greedy_decoder_0.tmp_0", "softmax_0.tmp_0"]
+            self.fetch = ["save_infer_model/scale_0.tmp_0", "save_infer_model/scale_1.tmp_0"]
 
     def preprocess(self, img_list):
         img_num = len(img_list)
@@ -88,8 +88,8 @@ class TextRecognizerHelper(TextRecognizer):
         if self.loss_type == "ctc":
             rec_idx_batch = outputs[0]
             predict_batch = outputs[1]
-            rec_idx_lod = args["ctc_greedy_decoder_0.tmp_0.lod"]
-            predict_lod = args["softmax_0.tmp_0.lod"]
+            rec_idx_lod = args["save_infer_model/scale_0.tmp_0.lod"]
+            predict_lod = args["save_infer_model/scale_1.tmp_0.lod"]
             indices = args["indices"]
             rec_res = [['', 0.0]] * (len(rec_idx_lod) - 1)
             for rno in range(len(rec_idx_lod) - 1):