diff --git a/paddlenlp/transformers/llama/modeling.py b/paddlenlp/transformers/llama/modeling.py
index 535add40fcfc..3caa08608a8a 100755
--- a/paddlenlp/transformers/llama/modeling.py
+++ b/paddlenlp/transformers/llama/modeling.py
@@ -1353,7 +1353,13 @@ class LlamaModel(LlamaPretrainedModel):
     """
 
     def __init__(self, config: LlamaConfig):
+        #####################################
+        from paddlenlp.PaddleAPEX import Acc
+        self.checker = Acc()
+        #####################################
         super().__init__(config)
+
+
         self.vocab_size = config.vocab_size
         self.hidden_size = config.hidden_size
         self.sequence_parallel = config.sequence_parallel
@@ -1471,6 +1477,10 @@ def forward(
         return_dict=False,
         **kwargs,
     ):
+        #####################################
+        self.checker.start()
+        #####################################
+
         if self.sequence_parallel and use_cache:
             raise ValueError("We currently only support sequence parallel without cache.")
 
@@ -1615,6 +1625,11 @@ def forward(
 
         next_cache = next_decoder_cache if use_cache else None
 
+
+        #####################################
+        self.checker.stop()
+        #####################################
+
         if not return_dict:
             return tuple(v for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] if v is not None)
         return BaseModelOutputWithPastAndCrossAttentions(