diff --git a/python/paddle/nn/functional/pooling.py b/python/paddle/nn/functional/pooling.py
index 1c3a035bbccea8366fcfa766c69145e4ec0d73ca..50096f89d906a856212acaab12eee2661d78ecbf 100755
--- a/python/paddle/nn/functional/pooling.py
+++ b/python/paddle/nn/functional/pooling.py
@@ -674,7 +674,8 @@ def max_pool2d(x,
                                              return_mask=True)
           # out.shape [1, 3, 16, 16], max_indices.shape [1, 3, 16, 16],
     """
-    check_variable_and_dtype(x, 'x', ['float32', 'float64'], 'max_pool2d')
+    check_variable_and_dtype(x, 'x', ['float16', 'float32', 'float64'],
+                             'max_pool2d')
     kernel_size = utils.convert_to_list(kernel_size, 2, 'pool_size')
     if stride is None:
         stride = kernel_size
@@ -911,7 +912,8 @@ def adaptive_avg_pool1d(x, output_size, name=None):
               # pool_out shape: [1, 3, 16])
     """
     pool_type = 'avg'
-    check_variable_and_dtype(x, 'x', ['float32', 'float64'], 'adaptive_pool2d')
+    check_variable_and_dtype(x, 'x', ['float16', 'float32', 'float64'],
+                             'adaptive_pool2d')
     _check_input(x, 3)
     check_type(output_size, 'pool_size', (int), 'adaptive_pool1d')