diff --git a/ppocr/modeling/architectures/rec_model.py b/ppocr/modeling/architectures/rec_model.py
index f4e3eea22750fa6a50a33b3d70a2f7f88d865288..91f778ce97768bc8079affb0e974d10da6c195d4 100755
--- a/ppocr/modeling/architectures/rec_model.py
+++ b/ppocr/modeling/architectures/rec_model.py
@@ -98,13 +98,15 @@ class RecModel(object):
                     shape=[
                         -1, self.num_heads, self.max_text_length,
                         self.max_text_length
-                    ])
+                    ],
+                    dtype="float32")
                 gsrm_slf_attn_bias2 = fluid.data(
                     name="gsrm_slf_attn_bias2",
                     shape=[
                         -1, self.num_heads, self.max_text_length,
                         self.max_text_length
-                    ])
+                    ],
+                    dtype="float32")
                 lbl_weight = fluid.layers.data(
                     name="lbl_weight", shape=[-1, 1], dtype='int64')
                 label = fluid.data(
@@ -161,13 +163,15 @@ class RecModel(object):
                     shape=[
                         -1, self.num_heads, self.max_text_length,
                         self.max_text_length
-                    ])
+                    ],
+                    dtype="float32")
                 gsrm_slf_attn_bias2 = fluid.data(
                     name="gsrm_slf_attn_bias2",
                     shape=[
                         -1, self.num_heads, self.max_text_length,
                         self.max_text_length
-                    ])
+                    ],
+                    dtype="float32")
                 feed_list = [
                     image, encoder_word_pos, gsrm_word_pos, gsrm_slf_attn_bias1,
                     gsrm_slf_attn_bias2
@@ -214,7 +218,7 @@ class RecModel(object):
             if self.loss_type == "ctc":
                 predict = fluid.layers.softmax(predict)
             if self.loss_type == "srn":
-                logger.infor(
+                raise Exception(
                     "Warning! SRN does not support export model currently")
             return [image, {'decoded_out': decoded_out, 'predicts': predict}]
         else:
diff --git a/ppocr/utils/character.py b/ppocr/utils/character.py
index f27e1b85877fd36fe97d54cc529c313f86ff6787..2db0151e62ced347cfbda2d8be9d49e1e6b40690 100755
--- a/ppocr/utils/character.py
+++ b/ppocr/utils/character.py
@@ -26,12 +26,12 @@ class CharacterOps(object):
         self.character_type = config['character_type']
         self.loss_type = config['loss_type']
         self.max_text_len = config['max_text_length']
+        if self.loss_type == "srn" and self.character_type == "ch":
+            raise Exception("SRN can only support in character_type == en")
         if self.character_type == "en":
             self.character_str = "0123456789abcdefghijklmnopqrstuvwxyz"
             dict_character = list(self.character_str)
         elif self.character_type == "ch":
-            if self.loss_type == "srn":
-                raise Exception("SRN can only support in character_type == en")
             character_dict_path = config['character_dict_path']
             add_space = False
             if 'use_space_char' in config: