diff --git a/python/paddle/metric/metrics.py b/python/paddle/metric/metrics.py
index 118004088da16710a0dcad21c4b796877f2d6309..d399cb2052498529f41a3617a60b9a221b5d837c 100644
--- a/python/paddle/metric/metrics.py
+++ b/python/paddle/metric/metrics.py
@@ -771,7 +771,7 @@ def accuracy(input, label, k=1, correct=None, total=None, name=None):
     Args:
         input(Tensor): The input of accuracy layer, which is the predictions of network. A Tensor with type float32,float64.
             The shape is ``[sample_number, class_dim]`` .
-        label(Tensor): The label of dataset. Tensor with type int32,int64. The shape is ``[sample_number, 1]`` .
+        label(Tensor): The label of dataset. Tensor with type int64. The shape is ``[sample_number, 1]`` .
         k(int, optional): The top k predictions for each class will be checked. Data type is int64 or int32.
         correct(Tensor, optional): The correct predictions count. A Tensor with type int64 or int32.
         total(Tensor, optional): The total entries count. A tensor with type int64 or int32.