diff --git a/python/paddle/nn/functional/pooling.py b/python/paddle/nn/functional/pooling.py
index c8790a75901fd5d9a38862158246e3756dc575c4..b4a713a1964f5d99503e0b5a221668656fa657d1 100755
--- a/python/paddle/nn/functional/pooling.py
+++ b/python/paddle/nn/functional/pooling.py
@@ -847,8 +847,7 @@ def adaptive_avg_pool1d(x, output_size, name=None):
                               with shape [N, C, L].  The format of input tensor is NCL,
                               where N is batch size, C is the number of channels, L is the
                               length of the feature. The data type is float32 or float64.
-        output_size (int|list|tuple): The pool kernel size. If pool kernel size is a tuple or list,
-                it must contain one int.
+        output_size (int): The target output size. It must be an integer.
         name(str, optional): For detailed information, please refer
                                  to :ref:`api_guide_Name`. Usually name is no need to set and
                                  None by default.
@@ -856,7 +855,7 @@ def adaptive_avg_pool1d(x, output_size, name=None):
             Tensor: The output tensor of adaptive average pooling result. The data type is same
                       as input tensor.
     Raises:
-            ValueError: 'output_size' should be an integer or list or tuple with length as 1.
+            ValueError: 'output_size' should be an integer.
     Examples:
         .. code-block:: python
               # average adaptive pool1d
diff --git a/python/paddle/nn/layer/pooling.py b/python/paddle/nn/layer/pooling.py
index 6f6b567849732ff889db4507708758cd8eeab2a8..4cb661cf541222ec4f05df0fdc69b6483f04cf55 100755
--- a/python/paddle/nn/layer/pooling.py
+++ b/python/paddle/nn/layer/pooling.py
@@ -613,8 +613,7 @@ class AdaptiveAvgPool1d(layers.Layer):
        Output(i) &= \\frac{sum(Input[lstart:lend])}{(lstart - lend)}
 
     Args:
-        output_size (int|list|tuple): The pool kernel size. If pool kernel size is a tuple or list,
-            it must contain one int.
+        output_size (int): The target output size. It must be an integer.
         name(str, optional): For detailed information, please refer
                              to :ref:`api_guide_Name`. Usually name is no need to set and
                              None by default.
@@ -623,7 +622,7 @@ class AdaptiveAvgPool1d(layers.Layer):
         None.
 
     Raises:
-        ValueError: 'pool_size' should be a integer or list or tuple with length as 1.
+        ValueError: 'output_size' should be an integer.
 
     Shape:
         - x: 3-D tensor.