diff --git a/api/source_en/api/python/mindspore/mindspore.dtype.rst b/api/source_en/api/python/mindspore/mindspore.dtype.rst
index ab38ead244cd2fc5eb03fbb68ee87a4f36da766c..950ac84f89284e3283c1b64c410405d2de7a4fcd 100644
--- a/api/source_en/api/python/mindspore/mindspore.dtype.rst
+++ b/api/source_en/api/python/mindspore/mindspore.dtype.rst
@@ -6,13 +6,14 @@ Data Type
 
 .. class:: mindspore.dtype
 
+Create a data type object
 The actual path of ``dtype`` is ``/mindspore/common/dtype.py``.
 Run the following command to import the package:
 
 .. code-block::
 
     import mindspore.common.dtype as mstype
-    
+
 or
 
 .. code-block::
@@ -29,7 +30,7 @@ The following table lists the details.
 Definition                                        Description
 ==============================================   =============================
 ``mindspore.int8`` ,  ``mindspore.byte``         8-bit integer
-``mindspore.int16`` ,  ``mindspore.short``       16-bit integer 
+``mindspore.int16`` ,  ``mindspore.short``       16-bit integer
 ``mindspore.int32`` ,  ``mindspore.intc``        32-bit integer
 ``mindspore.int64`` ,  ``mindspore.intp``        64-bit integer
 ``mindspore.uint8`` ,  ``mindspore.ubyte``       unsigned 8-bit integer
@@ -49,19 +50,19 @@ For other defined types, see the following table.
 ============================   =================
 Type                            Description
 ============================   =================
-``tensor``                      MindSpore's ``tensor`` type. Data format uses NCHW.
-``MetaTensor``                  A tensor only has data type and shape.
-``bool_``                       Bool number.
+``tensor``                      MindSpore's ``tensor`` type. Data format uses NCHW. For details, see [tensor](https://gitee.com/mindspore/mindspore/blob/master/mindspore/common/tensor.py)
+``MetaTensor``                  A tensor only has data type and shape. For details, see [MetaTensor](https://gitee.com/mindspore/mindspore/blob/master/mindspore/common/parameter.py)
+``bool_``                       Boolean ``True`` or ``False``.
 ``int_``                        Integer scalar.
 ``uint``                        Unsigned integer scalar.
 ``float_``                      Floating-point scalar.
 ``number``                      Number, including ``int_`` , ``uint`` , ``float_`` and ``bool_`` .
 ``list_``                       List constructed by ``tensor`` , such as ``List[T0,T1,...,Tn]`` , where the element ``Ti`` can be of different types.
 ``tuple_``                      Tuple constructed by ``tensor`` , such as ``Tuple[T0,T1,...,Tn]`` , where the element ``Ti`` can be of different types.
-``function``                    Function. Return in two ways, one returns ``Func`` directly, the other returns ``Func(args: List[T0,T1,...,Tn], retval: T)`` .
-``type_type``                   Type of type.
+``function``                    Function, when ``function`` is not None, returns a callable function that will execute the compiled function; When ``function`` is None, returns a decorator and when this decorator invokes with a single ``function`` argument, the callable function is equal to the case when ``function`` is not None.
+``type_type``                   Type definition of ``type``.
 ``type_none``                   No matching return type, corresponding to the ``type(None)`` in Python.
-``symbolic_key``                The value of a variable managed by embd, which is used as a key of the variable in ``env_type`` .
+``symbolic_key``                The value of a variable is used as a key of the variable in ``env_type`` .
 ``env_type``                    Used to store the gradient of the free variable of a function, where the key is the ``symbolic_key`` of the free variable's node and the value is the gradient.
 ============================   =================
 
@@ -73,7 +74,8 @@ The relationships of the above types are as follows:
 .. code-block::
 
 
-    └─────── number
+    └─── mindspore.dtype
+        ├─── number
         │   ├─── bool_
         │   ├─── int_
         │   │   ├─── int8, byte
@@ -90,17 +92,17 @@ The relationships of the above types are as follows:
         │       ├─── float32
         │       └─── float64
         ├─── tensor
-        │   ├─── Array[Float32]
+        │   ├─── Array[float32]
         │   └─── ...
         ├─── list_
-        │   ├─── List[Int32,Float32]
+        │   ├─── List[int32,float32]
         │   └─── ...
         ├─── tuple_
-        │   ├─── Tuple[Int32,Float32]
+        │   ├─── Tuple[int32,float32]
         │   └─── ...
         ├─── function
         │   ├─── Func
-        │   ├─── Func[(Int32, Float32), Int32]
+        │   ├─── Func[(int32, float32), int32]
         │   └─── ...
         ├─── MetaTensor
         ├─── type_type
diff --git a/api/source_zh_cn/api/python/mindspore/mindspore.dtype.rst b/api/source_zh_cn/api/python/mindspore/mindspore.dtype.rst
index 8474d596a6fa78419e6f457eb7147b18dce0e9a8..950ac84f89284e3283c1b64c410405d2de7a4fcd 100644
--- a/api/source_zh_cn/api/python/mindspore/mindspore.dtype.rst
+++ b/api/source_zh_cn/api/python/mindspore/mindspore.dtype.rst
@@ -6,13 +6,14 @@ Data Type
 
 .. class:: mindspore.dtype
 
+Create a data type object
 The actual path of ``dtype`` is ``/mindspore/common/dtype.py``.
 Run the following command to import the package:
 
 .. code-block::
 
     import mindspore.common.dtype as mstype
-    
+
 or
 
 .. code-block::
@@ -29,7 +30,7 @@ The following table lists the details.
 Definition                                        Description
 ==============================================   =============================
 ``mindspore.int8`` ,  ``mindspore.byte``         8-bit integer
-``mindspore.int16`` ,  ``mindspore.short``       16-bit integer 
+``mindspore.int16`` ,  ``mindspore.short``       16-bit integer
 ``mindspore.int32`` ,  ``mindspore.intc``        32-bit integer
 ``mindspore.int64`` ,  ``mindspore.intp``        64-bit integer
 ``mindspore.uint8`` ,  ``mindspore.ubyte``       unsigned 8-bit integer
@@ -49,19 +50,19 @@ For other defined types, see the following table.
 ============================   =================
 Type                            Description
 ============================   =================
-``tensor``                      MindSpore's ``tensor`` type. Data format uses NCHW.
-``MetaTensor``                  A tensor only has data type and shape.
-``bool_``                       Bool number.
+``tensor``                      MindSpore's ``tensor`` type. Data format uses NCHW. For details, see [tensor](https://gitee.com/mindspore/mindspore/blob/master/mindspore/common/tensor.py)
+``MetaTensor``                  A tensor only has data type and shape. For details, see [MetaTensor](https://gitee.com/mindspore/mindspore/blob/master/mindspore/common/parameter.py)
+``bool_``                       Boolean ``True`` or ``False``.
 ``int_``                        Integer scalar.
 ``uint``                        Unsigned integer scalar.
 ``float_``                      Floating-point scalar.
 ``number``                      Number, including ``int_`` , ``uint`` , ``float_`` and ``bool_`` .
 ``list_``                       List constructed by ``tensor`` , such as ``List[T0,T1,...,Tn]`` , where the element ``Ti`` can be of different types.
 ``tuple_``                      Tuple constructed by ``tensor`` , such as ``Tuple[T0,T1,...,Tn]`` , where the element ``Ti`` can be of different types.
-``function``                    Function. Return in two ways, one returns ``Func`` directly, the other returns ``Func(args: List[T0,T1,...,Tn], retval: T)`` .
-``type_type``                   Type of type.
+``function``                    Function, when ``function`` is not None, returns a callable function that will execute the compiled function; When ``function`` is None, returns a decorator and when this decorator invokes with a single ``function`` argument, the callable function is equal to the case when ``function`` is not None.
+``type_type``                   Type definition of ``type``.
 ``type_none``                   No matching return type, corresponding to the ``type(None)`` in Python.
-``symbolic_key``                The value of a variable managed by embd, which is used as a key of the variable in ``env_type`` .
+``symbolic_key``                The value of a variable is used as a key of the variable in ``env_type`` .
 ``env_type``                    Used to store the gradient of the free variable of a function, where the key is the ``symbolic_key`` of the free variable's node and the value is the gradient.
 ============================   =================