diff --git a/python/paddle/fluid/layers/metric_op.py b/python/paddle/fluid/layers/metric_op.py
index e19a8226ace1d7dd9fce29f6003392772e4e43cf..60cfb816bc8c72abf2fd61d9ba3538a86df5a72c 100644
--- a/python/paddle/fluid/layers/metric_op.py
+++ b/python/paddle/fluid/layers/metric_op.py
@@ -40,7 +40,8 @@ def accuracy(input, label, k=1, correct=None, total=None):
 
     Args:
         input(Variable): The input of accuracy layer, which is the predictions of network. A LoDTensor or Tensor with type float32,float64.
-        label(Variable): The label of dataset.  LoDTensor or Tensor with type int32,int64.
+            The shape is ``[sample_number, class_dim]`` .
+        label(Variable): The label of dataset.  LoDTensor or Tensor with type int32,int64. The shape is ``[sample_number, 1]`` .
         k(int): The top k predictions for each class will be checked. Data type is int64 or int32.
         correct(Variable): The correct predictions count. A Tensor with type int64 or int32.
         total(Variable): The total entries count. A tensor with type int64 or int32.