diff --git a/ppocr/modeling/heads/rec_att_head.py b/ppocr/modeling/heads/rec_att_head.py
index a7cfe1282141d4646bf3c410d4b0f9a3e94d28fb..0d222714ff7edebfc717daa81d48ce7424dfbd03 100644
--- a/ppocr/modeling/heads/rec_att_head.py
+++ b/ppocr/modeling/heads/rec_att_head.py
@@ -57,6 +57,9 @@ class AttentionHead(nn.Layer):
         else:
             targets = paddle.zeros(shape=[batch_size], dtype="int32")
             probs = None
+            char_onehots = None
+            outputs = None
+            alpha = None
 
             for i in range(num_steps):
                 char_onehots = self._char_to_onehot(
diff --git a/tools/infer/predict_rec.py b/tools/infer/predict_rec.py
index fd895e50719941877fd620cab929a20c7d88b8e5..b3d9d4907ba35f7cfade795b6d3897c525d41e6d 100755
--- a/tools/infer/predict_rec.py
+++ b/tools/infer/predict_rec.py
@@ -54,6 +54,13 @@ class TextRecognizer(object):
                 "character_dict_path": args.rec_char_dict_path,
                 "use_space_char": args.use_space_char
             }
+        elif self.rec_algorithm == "RARE":
+            postprocess_params = {
+                'name': 'AttnLabelDecode',
+                "character_type": args.rec_char_type,
+                "character_dict_path": args.rec_char_dict_path,
+                "use_space_char": args.use_space_char
+            }
         self.postprocess_op = build_post_process(postprocess_params)
         self.predictor, self.input_tensor, self.output_tensors = \
             utility.create_predictor(args, 'rec', logger)