diff --git a/ltp/frontend.py b/ltp/frontend.py
index 5358d6e4..9f1a0b69 100644
--- a/ltp/frontend.py
+++ b/ltp/frontend.py
@@ -47,7 +47,7 @@
 }
 
 
-def no_gard(func):
+def no_grad(func):
     def wrapper(*args, **kwargs):
         with torch.no_grad():
             return func(*args, **kwargs)
@@ -204,7 +204,7 @@ def seg_with_dict(self, inputs: List[str], tokenized: BatchEncoding, batch_prefi
             matching.append(matching_pos)
         return matching
 
-    @no_gard
+    @no_grad
     def _seg(self, tokenizerd, is_preseged=False):
         input_ids = tokenizerd['input_ids'].to(self.device)
         attention_mask = tokenizerd['attention_mask'].to(self.device)
@@ -228,7 +228,7 @@ def _seg(self, tokenizerd, is_preseged=False):
             segment_output = segment_output.decoded or torch.argmax(segment_output.logits, dim=-1).cpu().numpy()
         return word_cls, char_input, segment_output, length
 
-    @no_gard
+    @no_grad
     def seg(self, inputs: Union[List[str], List[List[str]]], truncation: bool = True, is_preseged=False):
         """
         分词
@@ -326,7 +326,7 @@ def seg(self, inputs: Union[List[str], List[List[str]]], truncation: bool = True
             'word_cls_input': word_cls_input, 'word_cls_mask': word_cls_mask
         }
 
-    @no_gard
+    @no_grad
     def pos(self, hidden: dict):
         """
         词性标注
@@ -343,7 +343,7 @@ def pos(self, hidden: dict):
         postagger_output = convert_idx_to_name(postagger_output, hidden['word_length'], self.pos_vocab)
         return postagger_output
 
-    @no_gard
+    @no_grad
     def ner(self, hidden: dict, as_entities=True):
         """
         命名实体识别
@@ -363,7 +363,7 @@ def ner(self, hidden: dict, as_entities=True):
         ner_output = convert_idx_to_name(ner_output, hidden['word_length'], self.ner_vocab)
         return [get_entities(ner) for ner in ner_output] if as_entities else ner_output
 
-    @no_gard
+    @no_grad
     def srl(self, hidden: dict, keep_empty=True):
         """
         语义角色标注
@@ -395,7 +395,7 @@ def srl(self, hidden: dict, keep_empty=True):
             ]
         return srl_labels_res
 
-    @no_gard
+    @no_grad
     def dep(self, hidden: dict, fast=True, as_tuple=True):
         """
         依存句法树
@@ -441,7 +441,7 @@ def dep(self, hidden: dict, fast=True, as_tuple=True):
             for heads, rels in zip(head_pred, rel_pred)
         ]
 
-    @no_gard
+    @no_grad
     def sdp(self, hidden: dict, mode: str = 'graph'):
         """
         语义依存图（树）