diff --git a/docs/api/api_python/mindspore/mindspore.Tensor.rst b/docs/api/api_python/mindspore/mindspore.Tensor.rst
index a7f106d309c..bd846fd1398 100644
--- a/docs/api/api_python/mindspore/mindspore.Tensor.rst
+++ b/docs/api/api_python/mindspore/mindspore.Tensor.rst
@@ -192,7 +192,7 @@ mindspore.Tensor
 
         **参数：**
 
-        - **x** (Tensor) - 输入Tensor，是一个数据类型为uint8、uint16、unint32、uint64、int8、int16、int32或int64的Tensor。
+        - **x** (Tensor) - 输入Tensor，是一个数据类型为uint16、int16或int32的Tensor。
 
         **返回：**
 
@@ -206,7 +206,7 @@ mindspore.Tensor
 
         **参数：**
 
-        - **x** (Tensor) - 输入Tensor，是一个数据类型为uint8、uint16、unint32、uint64、int8、int16、int32或int64的Tensor。
+        - **x** (Tensor) - 输入Tensor，是一个数据类型为uint16、int16或int32的Tensor。
 
         **返回：**
 
@@ -220,7 +220,7 @@ mindspore.Tensor
 
         **参数：**
 
-        - **x** (Tensor) - 输入Tensor，是一个数据类型为uint8、uint16、unint32、uint64、int8、int16、int32或int64的Tensor。
+        - **x** (Tensor) - 输入Tensor，是一个数据类型为uint16、int16或int32的Tensor。
 
         **返回：**
 
diff --git a/mindspore/python/mindspore/common/tensor.py b/mindspore/python/mindspore/common/tensor.py
index 16854ca532d..7b327868a58 100644
--- a/mindspore/python/mindspore/common/tensor.py
+++ b/mindspore/python/mindspore/common/tensor.py
@@ -719,7 +719,7 @@ class Tensor(Tensor_):
         Refer to :func:`mindspore.ops.bitwise_and` for more detail.
 
         Args:
-            x (Tensor): The input tensor.
+            x (Tensor): The input tensor with int16, int32 or uint16 data type.
 
         Returns:
             Tensor, has the same type as the `x`.
@@ -746,7 +746,7 @@ class Tensor(Tensor_):
         Refer to :func:`mindspore.ops.bitwise_or` for more detail.
 
         Args:
-            x (Tensor): The input tensor.
+            x (Tensor): The input tensor with int16, int32 or uint16 data type.
 
         Returns:
             Tensor, has the same type as the `x`.
@@ -773,7 +773,7 @@ class Tensor(Tensor_):
         Refer to :func:`mindspore.ops.bitwise_xor` for more detail.
 
         Args:
-            x (Tensor): The input tensor.
+            x (Tensor): The input tensor with int16, int32 or uint16 data type.
 
         Returns:
             Tensor, has the same type as the `x`.
@@ -897,7 +897,10 @@ class Tensor(Tensor_):
         """
         Ger product of `self` and `x`. Calculate the outer product of two arrays. If `self` is a 1D
         Tensor of shape :math:`(m,)` and `x` is a 1D Tensor of shape :math:`(n,)`, then `output` must be a Tensor of
-        shape :math:`(m * n)`.
+        shape :math:`(m, n)`.
+
+        Note:
+            Currently Ascend does not support float64 data input.
 
         Refer to :func:`mindspore.ops.ger` for more detail.