diff --git a/python/paddle/nn/layer/activation.py b/python/paddle/nn/layer/activation.py
index b0a1b27855a80b71026d3ebc38575361d187c1aa..32979bae34d8038edee014ec341859459018c0a1 100644
--- a/python/paddle/nn/layer/activation.py
+++ b/python/paddle/nn/layer/activation.py
@@ -252,12 +252,10 @@ class Tanh(layers.Layer):
             import paddle
             import numpy as np
 
-            paddle.disable_static()
-
             x = paddle.to_tensor(np.array([-0.4, -0.2, 0.1, 0.3]))
             m = paddle.nn.Tanh()
             out = m(x)
-            print(out.numpy())
+            print(out)
             # [-0.37994896 -0.19737532  0.09966799  0.29131261]
     """
 
diff --git a/python/paddle/tensor/math.py b/python/paddle/tensor/math.py
index c83e788538e1c19bf909cad3b7c7d689e691d5a6..30ce55f009e935f9eaef5cf4e89aa4bc9594b6d2 100755
--- a/python/paddle/tensor/math.py
+++ b/python/paddle/tensor/math.py
@@ -387,11 +387,11 @@ def remainder(x, y, name=None):
         out = x \% y
 
     **Note**:
-    ``paddle.remainder`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
+    ``paddle.mod`` supports broadcasting. If you want know more about broadcasting, please refer to :ref:`user_guide_broadcasting` .
 
     Args:
-        x (Tensor): the input tensor, it's data type should be int32, int64.
-        y (Tensor): the input tensor, it's data type should be int32, int64.
+        x (Tensor): the input tensor, it's data type should be float32, float64, int32, int64.
+        y (Tensor): the input tensor, it's data type should be float32, float64, int32, int64.
         name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.
 
     Returns:
@@ -403,12 +403,10 @@ def remainder(x, y, name=None):
 
             import paddle
 
-            paddle.disable_static()
-
             x = paddle.to_tensor([2, 3, 8, 7])
             y = paddle.to_tensor([1, 5, 3, 3])
-            z = paddle.remainder(x, y)
-            print(z.numpy())  # [0, 3, 2, 1]
+            z = paddle.mod(x, y)
+            print(z)  # [0, 3, 2, 1]
 
     """
     op_type = 'elementwise_mod'