diff --git a/python/paddle/tensor/search.py b/python/paddle/tensor/search.py
index fe2e979f9845c43ceb09f91bb7f3bc98059ad724..2c6a7f7ead1059763516ea11b9e41e28defe18d9 100644
--- a/python/paddle/tensor/search.py
+++ b/python/paddle/tensor/search.py
@@ -123,7 +123,7 @@ def argmax(x, axis=None, keepdim=False, dtype="int64", name=None):
         axis(int, optional): Axis to compute indices along. The effective range
             is [-R, R), where R is x.ndim. when axis < 0, it works the same way
             as axis + R. Default is None, the input `x` will be into the flatten tensor, and selecting the min value index.
-        keepdim(bool, optional): Keep the axis that selecting max. The defalut value is False.
+        keepdim(bool, optional): Whether to keep the given axis in output. If it is True, the dimensions will be same as input x and with size one in the axis. Otherwise the output dimentions is one fewer than x since the axis is squeezed. Default is False.
         dtype(str|np.dtype, optional): Data type of the output tensor which can
                     be int32, int64. The default value is 'int64', and it will
                     return the int64 indices.
@@ -144,12 +144,15 @@ def argmax(x, axis=None, keepdim=False, dtype="int64", name=None):
                                      [6,9,2,4]])
             out1 = paddle.argmax(x)
             print(out1) # 2
-            out2 = paddle.argmax(x, axis=1)
+            out2 = paddle.argmax(x, axis=0)
             print(out2) 
-            # [2 3 1]
+            # [2, 2, 0, 1]
             out3 = paddle.argmax(x, axis=-1)
             print(out3) 
-            # [2 3 1]
+            # [2, 3, 1]
+            out4 = paddle.argmax(x, axis=0, keepdim=True)
+            print(out4)
+            # [[2, 2, 0, 1]]
     """
     if axis is not None and not isinstance(axis, int):
         raise TypeError(
@@ -200,7 +203,7 @@ def argmin(x, axis=None, keepdim=False, dtype="int64", name=None):
         axis(int, optional): Axis to compute indices along. The effective range
             is [-R, R), where R is x.ndim. when axis < 0, it works the same way
             as axis + R. Default is None, the input `x` will be into the flatten tensor, and selecting the min value index.
-        keepdim(bool, optional): Keep the axis that selecting min. The defalut value is False.
+        keepdim(bool, optional): Whether to keep the given axis in output. If it is True, the dimensions will be same as input x and with size one in the axis. Otherwise the output dimentions is one fewer than x since the axis is squeezed. Default is False.
         dtype(str): Data type of the output tensor which can
                     be int32, int64. The default value is 'int64', and it will
                     return the int64 indices.
@@ -221,12 +224,15 @@ def argmin(x, axis=None, keepdim=False, dtype="int64", name=None):
                                      [6,9,2,4]])
             out1 = paddle.argmin(x)
             print(out1) # 4
-            out2 = paddle.argmin(x, axis=1)
+            out2 = paddle.argmin(x, axis=0)
             print(out2) 
-            # [0 0 2]
+            # [1, 1, 1, 2]
             out3 = paddle.argmin(x, axis=-1)
             print(out3) 
-            # [0 0 2]
+            # [0, 0, 2]
+            out4 = paddle.argmin(x, axis=0, keepdim=True)
+            print(out4)
+            # [[1, 1, 1, 2]]
     """
     if axis is not None and not isinstance(axis, int):
         raise TypeError(