add warning

Signed-off-by: Ting Wang <kathy.wangting@huawei.com>

security/comments_specification_en.md

@@ -27,13 +27,16 @@
 
 The comments of classes and methods are in the following format:
 
-```rst
+```text
 Summary.
 
 More elaborate description.
 
+.. warning::
+    Warning description.
+
 Note:
-    Description.
+    Note description.
 
 Args:
     Arg1 (Type): Description. Default: xxx.
@@ -56,6 +59,7 @@ The format items are described as follows:
 
 - `Summary`: briefly describes the API function.
 - `More elaborate description`: describes the function and usage of an API in detail.
+- `warning`: describes warnings for using an API to avoid negative consequences.
 - `Note`: describes precautions for using an API. Do not use `Notes`.
 - `Args`: API parameter information, including the parameter name, type, value range, and default value.
 - `Returns`: return value information, including the return value type.
@@ -67,7 +71,7 @@ For comments of operators and cells, add `Inputs`, `Outputs` and `Supported Plat
 - `Inputs` and `Outputs`: describes the input and output types and shapes of the operators after instantiation. The input name can be the same as that in the example. It is recommended to provide the corresponding mathematical formula in the comment.
 - `Supported Platforms`: describes the hardware platforms supported by the operator. Add `` before and after the platform name, and use space to separate them when there are more than one.
 
-```rst
+```text
 Inputs:
     - **input_name1** (Type) - Description.
     - **input_name2** (Type) - Description.
@@ -90,8 +94,7 @@ Supported Platforms:
 
         A blank line is required between contents of different types (such as `Args` and `Returns`). A blank line is not required between contents of the same type (for example, `Arg1` and `Arg2`).
 
-        ```python
-        """
+        ```text
         High-Level API for Training or Testing.
 
         Args:
@@ -106,8 +109,7 @@ Supported Platforms:
 
         If the content is described in an unordered or ordered list, a blank line must be added between the content in the list and the content above the list.
 
-        ```python
-        """
+        ```text
         Args:
             amp_level (str): Option for argument `level` in `mindspore.amp.build_train_network`, level for mixed
                 precision training. Supports ["O0", "O2", "O3", "auto"]. Default: "O0".
@@ -120,15 +122,13 @@ Supported Platforms:
                   always generalize. User should specify the level for special network.
 
                 O2 is recommended on GPU, O3 is recommended on Ascend.
-        """
         ```
 
     - Space requirements:
 
         The newline characters of `Args` and `Raises` must be indented by four spaces.
 
-        ```python
-        """
+        ```text
         Args:
             lr_power (float): Learning rate power controls how the learning rate decreases during training,
                 must be less than or equal to zero. Use fixed learning rate if `lr_power` is zero.
@@ -140,62 +140,71 @@ Supported Platforms:
                 If `use_locking` is not a bool.
                 If dtype of `var`, `accum`, `linear` or `grad` is neither float16 nor float32.
                 If dtype of `indices` is not int32.
-        """
         ```
 
-        The sub-parameters or values of `Args` and line breaks for disordered or ordered content of `Inputs`, `Outputs` and `Returns` do not need indents and are aligned with the start position of the previous line.
-
-        ```python
-        """
-        Args
-            parallel_mode (str): There are five kinds of parallel modes, "stand_alone", "data_parallel",
-                "hybrid_parallel", "semi_auto_parallel" and "auto_parallel". Default: "stand_alone".
-
-                - stand_alone: Only one processor is working.
-                - data_parallel: Distributes the data across different processors.
-                - hybrid_parallel: Achieves data parallelism and model parallelism
-                  manually.
-                - semi_auto_parallel: Achieves data parallelism and model parallelism by
-                  setting parallel strategies.
-
-        Inputs:
-            - **var** (Parameter) - The variable to be updated. The data type must be float16 or float32.
-            - **accum** (Parameter) - The accumulation to be updated, must be same data type and shape as `var`.
-            - **linear** (Parameter) - the linear coefficient to be updated, must be same data type and shape
-              as `var`.
-            - **grad** (Tensor) - A tensor of the same type as `var`, for the gradient.
-            - **indices** (Tensor) - A vector of indices in the first dimension of `var` and `accum`.
-              The shape of `indices` must be the same as `grad` in the first dimension. The type must be int32.
-
-        Outputs:
-            Tuple of 3 Tensor, the updated parameters.
-
-            - **var** (Tensor) - Tensor, has the same shape and data type as `var`.
-            - **accum** (Tensor) - Tensor, has the same shape and data type as `accum`.
-            - **linear** (Tensor) - Tensor, has the same shape and data type as `linear`.
+        The following contents do not need indents and are aligned with the start position of the previous line.
 
-        Returns:
-            Function, if `fn` is not None, returns a callable function that will execute the compiled function; If `fn` is
-            None, returns a decorator and when this decorator invokes with a single `fn` argument, the callable function is
-            equal to the case when `fn` is not None.
-        """
-        ```
+        1. The sub-parameters or values of `Args`
+
+            ```text
+            Args:
+                parallel_mode (str): There are five kinds of parallel modes, "stand_alone", "data_parallel",
+                    "hybrid_parallel", "semi_auto_parallel" and "auto_parallel". Default: "stand_alone".
+
+                    - stand_alone: Only one processor is working.
+                    - data_parallel: Distributes the data across different processors.
+                    - hybrid_parallel: Achieves data parallelism and model parallelism
+                      manually.
+                    - semi_auto_parallel: Achieves data parallelism and model parallelism by
+                      setting parallel strategies.
+            ```
+
+        2. The line breaks for disordered or ordered content of `Inputs`, `Outputs` and `Returns`
+
+            ```text
+            Inputs:
+                - **var** (Parameter) - The variable to be updated. The data type must be float16 or float32.
+                - **accum** (Parameter) - The accumulation to be updated, must be same data type and shape as `var`.
+                - **linear** (Parameter) - the linear coefficient to be updated, must be same data type and shape
+                  as `var`.
+                - **grad** (Tensor) - A tensor of the same type as `var`, for the gradient.
+                - **indices** (Tensor) - A vector of indices in the first dimension of `var` and `accum`.
+                  The shape of `indices` must be the same as `grad` in the first dimension. The type must be int32.
+
+            Outputs:
+                Tuple of 3 Tensor, the updated parameters.
+
+                - **var** (Tensor) - Tensor, has the same shape
+                  and data type as `var`.
+                - **accum** (Tensor) - Tensor, has the same shape
+                  and data type as `accum`.
+                - **linear** (Tensor) - Tensor, has the same shape
+                  and data type as `linear`.
+            ```
+
+        3. `Note` and `warning`
+
+            ```text
+            .. warning::
+                This is warning text. Use a warning for information the user must
+                understand to avoid negative consequences.
+
+                If warning text runs over a line, make sure the lines wrap and are indented to
+                the same level as the warning tag.
+            ```
 
         In `Args`, there must be a space between the parameter name and the `(` of the type.
 
-        ```python
-        """
+        ```text
         Args:
             lr (float): The learning rate value, must be positive.
-        """
         ```
 
 - `Args` Comment
     - Common parameter types are as follows:
         - Basic data types: `int`, `float`, `bool`, `str`, `list`, `dict`, `set`, `tuple` and `numpy.ndarray`.
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (int): Some description.
                 arg2 (float): Some description.
@@ -206,71 +215,57 @@ Supported Platforms:
                 arg7 (set): Some description.
                 arg8 (tuple): Some description.
                 arg9 (numpy.ndarray): Some description.
-            """
             ```
 
         - dtype: For the value of mindspore.dtype, set this parameter to `mindspore.dtype`. For the value of the numpy type, set this parameter to `numpy.dtype`. Set other parameters based on the actual requirements.
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (mindspore.dtype): Some description.
-            """
             ```
 
         - One parameter with multiple optional types: Union [type 1, type 2], for example, `Union[Tensor, Number]`.
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (Union[Tensor, Number]): Some description.
-            """
             ```
 
         - List type: list[Specific type], for example, `list[str]`.
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (list[str]): Some description.
-            """
             ```
 
         - The format of optional types is as follows: (Type, optional).
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (bool, optional): Some description.
-            """
             ```
 
         - Other types: Tensor, other specific types, or method names.
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (Tensor): Some description.
-            """
             ```
 
 - `Returns` Comment
     - If the return value type or dimension changes, describe the relationship between the return value and the input.
     - If there are multiple return values, write them in different lines. The line difference is not displayed on the web page. The unordered list supports return values in different lines.
 
-        ```python
-        """
+        ```text
         Returns:
             - DatasetNode, the root node of the IR tree.
             - Dataset, the root dataset of the IR tree.
-        """
         ```
 
 - `Examples` Comment
     - For the content in `Examples`, ```>>>``` should be added at the beginning of each line of code. For multiple lines (including classes, function definitions or manual switch line) and blank lines, ```...``` is needed at the beginning of these lines. There is no need to add any symbols at the beginning of the output result line.
 
-         ```python
-        """
+         ```text
         Examples:
             >>> import mindspore as ms
             >>> import mindspore.nn as nn
@@ -292,7 +287,6 @@ Supported Platforms:
              [1 2]]
             >>> print(out[2])
             (3, 4)
-            """
         ```
 
     - Actual code needs to be provided in `Examples`. If you need to refer to other Examples, use Note.
@@ -305,7 +299,7 @@ Supported Platforms:
 - Formula
     - Line formula (in the middle of the singly occupied line)
 
-        ```rst
+        ```text
         .. math::
 
             formula
@@ -313,7 +307,7 @@ Supported Platforms:
 
     - Line-embedded formula (displayed together with other peer text, not in the middle)
 
-        ```rst
+        ```text
         xxx :math:`formula` xxx
         ```
 
@@ -328,13 +322,13 @@ Supported Platforms:
 
         Write a quotation in the following format:
 
-        ```rst
+        ```text
         `name`_
         ```
 
         Provide a link in the following format:
 
-        ```rst
+        ```text
         .. _`name`: https://xxx
         ```
 
@@ -344,19 +338,19 @@ Supported Platforms:
 
         Alternatively, you can use the following simplified format, that is, write only in the place where the reference is made.
 
-        ```rst
+        ```text
         `name <https://xxx>`_
         ```
 
     - Display the detailed address:
 
-        ```rst
+        ```text
         https://xxx
         ```
 
 - Table (For details, see section <https://sublime-and-sphinx-guide.readthedocs.io/en/latest/tables.html#list-table-directive>.)
 
-    ```rst
+    ```text
     .. list-table:: Title            # Table title
     :widths: 25 25 25               # Table column width
     :header-rows: 1
@@ -381,7 +375,7 @@ Supported Platforms:
 - By default, the detailed description is displayed in one line. If you need to display it in another line, write it in the form of a list or code-block.
     - List mode:
 
-        ```rst
+        ```text
         - Content1
         - Content2
         - Content3
@@ -389,7 +383,7 @@ Supported Platforms:
 
     - Code-Block mode:
 
-        ```rst
+        ```text
         .. code-block::
 
         Content1

security/comments_specification_zh_cn.md

@@ -27,13 +27,16 @@
 
 类和方法的注释都采用如下格式：
 
-```rst
+```text
 Summary.
 
 More elaborate description.
 
+.. warning::
+    Warning description.
+
 Note:
-    Description.
+    Note description.
 
 Args:
     Arg1 (Type): Description. Default: xxx.
@@ -56,6 +59,7 @@ Examples:
 
 - `Summary`：简单描述该接口的功能。
 - `More elaborate description`：详细描述该接口的功能和如何使用等信息。
+- `warning`：描述使用该接口时需要警告的事项，以免造成负面影响。
 - `Note`：描述使用该接口时需要注意的事项。特别注意不能写成`Notes`。
 - `Args`：接口参数信息，包含参数名、参数类型、取值范围、默认值等。
 - `Returns`：返回值信息，包含返回值类型等。
@@ -67,7 +71,7 @@ Examples:
 - `Inputs`和`Outputs`：用于描述实例化后，算子的输入和输出的类型和shape，输入名可以和样例相同。建议在注释中给出对应的数学公式。
 - `Supported Platforms`：用于描述算子支持的硬件平台，名称前后需添加``，存在多个时使用空格隔开。
 
-```rst
+```text
 Inputs:
     - **input_name1** (Type) - Description.
     - **input_name2** (Type) - Description.
@@ -90,8 +94,7 @@ Supported Platforms:
 
         不同类型（如`Args`、`Returns`等）的内容之间需有空行，同种类型（如`Arg1`、`Arg2`等）的内容之间不需要空行。
 
-        ```python
-        """
+        ```text
         High-Level API for Training or Testing.
 
         Args:
@@ -106,8 +109,7 @@ Supported Platforms:
 
         采用无序或有序列表描述内容时，整个列表内容与上方内容之间需增加一个空行。
 
-        ```python
-        """
+        ```text
         Args:
             amp_level (str): Option for argument `level` in `mindspore.amp.build_train_network`, level for mixed
                 precision training. Supports ["O0", "O2", "O3", "auto"]. Default: "O0".
@@ -120,15 +122,13 @@ Supported Platforms:
                   always generalize. User should specify the level for special network.
 
                 O2 is recommended on GPU, O3 is recommended on Ascend.
-        """
         ```
 
     - 空格要求：
 
         `Args`和`Raises`内容的换行需要缩进4个空格。
 
-        ```python
-        """
+        ```text
         Args:
             lr_power (float): Learning rate power controls how the learning rate decreases during training,
                 must be less than or equal to zero. Use fixed learning rate if `lr_power` is zero.
@@ -140,62 +140,71 @@ Supported Platforms:
                 If `use_locking` is not a bool.
                 If dtype of `var`, `accum`, `linear` or `grad` is neither float16 nor float32.
                 If dtype of `indices` is not int32.
-        """
         ```
 
-        `Args`的子参数或取值、`Inputs`、`Outputs`和`Returns`等无序或有序列表内容的换行不需要缩进，与上一行的正文起始位置对齐。
-
-        ```python
-        """
-        Args
-            parallel_mode (str): There are five kinds of parallel modes, "stand_alone", "data_parallel",
-                "hybrid_parallel", "semi_auto_parallel" and "auto_parallel". Default: "stand_alone".
-
-                - stand_alone: Only one processor is working.
-                - data_parallel: Distributes the data across different processors.
-                - hybrid_parallel: Achieves data parallelism and model parallelism
-                  manually.
-                - semi_auto_parallel: Achieves data parallelism and model parallelism by
-                  setting parallel strategies.
-
-        Inputs:
-            - **var** (Parameter) - The variable to be updated. The data type must be float16 or float32.
-            - **accum** (Parameter) - The accumulation to be updated, must be same data type and shape as `var`.
-            - **linear** (Parameter) - the linear coefficient to be updated, must be same data type and shape
-              as `var`.
-            - **grad** (Tensor) - A tensor of the same type as `var`, for the gradient.
-            - **indices** (Tensor) - A vector of indices in the first dimension of `var` and `accum`.
-              The shape of `indices` must be the same as `grad` in the first dimension. The type must be int32.
-
-        Outputs:
-            Tuple of 3 Tensor, the updated parameters.
-
-            - **var** (Tensor) - Tensor, has the same shape and data type as `var`.
-            - **accum** (Tensor) - Tensor, has the same shape and data type as `accum`.
-            - **linear** (Tensor) - Tensor, has the same shape and data type as `linear`.
+        以下内容的换行不需要缩进，与上一行的正文起始位置对齐。
 
-        Returns:
-            Function, if `fn` is not None, returns a callable function that will execute the compiled function; If `fn` is
-            None, returns a decorator and when this decorator invokes with a single `fn` argument, the callable function is
-            equal to the case when `fn` is not None.
-        """
-        ```
+        1. `Args`的子参数或取值
+
+            ```text
+            Args:
+                parallel_mode (str): There are five kinds of parallel modes, "stand_alone", "data_parallel",
+                    "hybrid_parallel", "semi_auto_parallel" and "auto_parallel". Default: "stand_alone".
+
+                    - stand_alone: Only one processor is working.
+                    - data_parallel: Distributes the data across different processors.
+                    - hybrid_parallel: Achieves data parallelism and model parallelism
+                      manually.
+                    - semi_auto_parallel: Achieves data parallelism and model parallelism by
+                      setting parallel strategies.
+            ```
+
+        2. `Inputs`、`Outputs`和`Returns`等无序或有序列表内容
+
+            ```text
+            Inputs:
+                - **var** (Parameter) - The variable to be updated. The data type must be float16 or float32.
+                - **accum** (Parameter) - The accumulation to be updated, must be same data type and shape as `var`.
+                - **linear** (Parameter) - the linear coefficient to be updated, must be same data type and shape
+                  as `var`.
+                - **grad** (Tensor) - A tensor of the same type as `var`, for the gradient.
+                - **indices** (Tensor) - A vector of indices in the first dimension of `var` and `accum`.
+                  The shape of `indices` must be the same as `grad` in the first dimension. The type must be int32.
+
+            Outputs:
+                Tuple of 3 Tensor, the updated parameters.
+
+                - **var** (Tensor) - Tensor, has the same shape
+                  and data type as `var`.
+                - **accum** (Tensor) - Tensor, has the same shape
+                  and data type as `accum`.
+                - **linear** (Tensor) - Tensor, has the same shape
+                  and data type as `linear`.
+            ```
+
+        3. `Note`和`warning`
+
+            ```text
+            .. warning::
+                This is warning text. Use a warning for information the user must
+                understand to avoid negative consequences.
+
+                If warning text runs over a line, make sure the lines wrap and are indented to
+                the same level as the warning tag.
+            ```
 
         `Args`中参数名和类型的`(`之间需要有空格。
 
-        ```python
-        """
+        ```text
         Args:
             lr (float): The learning rate value, must be positive.
-        """
         ```
 
 - `Args`注释说明
     - 常见参数类型有：
         - 基本数据类型：`int`、`float`、`bool`、`str`、`list`、`dict`、`set`、`tuple`、`numpy.ndarray`。
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (int): Some description.
                 arg2 (float): Some description.
@@ -206,71 +215,57 @@ Supported Platforms:
                 arg7 (set): Some description.
                 arg8 (tuple): Some description.
                 arg9 (numpy.ndarray): Some description.
-            """
             ```
 
         - dtype：如果是mindspore.dtype里的值，写成`mindspore.dtype`，如果是numpy类型，写成`numpy.dtype`。其他按实际情况写。
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (mindspore.dtype): Some description.
-            """
             ```
 
         - 一个参数有多个可选类型：Union[类型1, 类型2]，如`Union[Tensor, Number]`。
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (Union[Tensor, Number]): Some description.
-            """
             ```
 
         - list类型：list[具体类型]，如`list[str]`。
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (list[str]): Some description.
-            """
             ```
 
         - 可选类型统一格式：(类型, optional)。
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (bool, optional): Some description.
-            """
             ```
 
         - 其他类型：Tensor或其他具体类型或方法名。
 
-            ```python
-            """
+            ```text
             Args:
                 arg1 (Tensor): Some description.
-            """
             ```
 
 - `Returns`注释说明
     - 如果返回值类型或维度发生变化，需要说明返回值与输入的关系。
     - 多个返回值时，分行写，网页显示时不分行，无序列表的方式可支持分行。
 
-        ```python
-        """
+        ```text
         Returns:
             - DatasetNode, the root node of the IR tree.
             - Dataset, the root dataset of the IR tree.
-        """
         ```
 
 - `Examples`注释说明
     - `Examples`中的内容需在每行代码开头加上```>>>```，多行代码（含类或函数定义、人为换行等）或空行的开头需加上```...```，输出结果行开头不需要加任何符号。
 
-        ```python
-        """
+        ```text
         Examples:
             >>> import mindspore as ms
             >>> import mindspore.nn as nn
@@ -292,7 +287,6 @@ Supported Platforms:
              [1 2]]
             >>> print(out[2])
             (3, 4)
-            """
         ```
 
     - `Examples`中需提供实际的代码，如果需提示参考其他Examples，请使用Note。
@@ -305,7 +299,7 @@ Supported Platforms:
 - 公式
     - 行公式（单独占一行，居中）
 
-      ```rst
+      ```text
       .. math::
 
          formula
@@ -313,7 +307,7 @@ Supported Platforms:
 
     - 行内嵌公式（与其他同行文字显示在一起，不居中）
 
-      ```rst
+      ```text
       xxx :math:`formula` xxx
       ```
 
@@ -328,13 +322,13 @@ Supported Platforms:
 
         引用的地方需这样写：
 
-        ```rst
+        ```text
         `name`_
         ```
 
         提供链接的地方需这样写：
 
-        ```rst
+        ```text
         .. _`name`: https://xxx
         ```
 
@@ -344,19 +338,19 @@ Supported Platforms:
 
         或者可以采用以下简化写法，只在引用的地方写即可。
 
-        ```rst
+        ```text
         `name <https://xxx>`_
         ```
 
     - 直接显示详细地址。
 
-        ```rst
+        ```text
         https://xxx
         ```
 
 - 表格（详细可参考<https://sublime-and-sphinx-guide.readthedocs.io/en/latest/tables.html#list-table-directive>）
 
-    ```rst
+    ```text
     .. list-table:: Title            # 表格标题
     :widths: 25 25 25               # 表格列宽
     :header-rows: 1
@@ -381,7 +375,7 @@ Supported Platforms:
 - 详细说明默认不换行，如需换行，需以列表或code-block的方式写作。
     - 列表方式：
 
-        ```rst
+        ```text
         - Content1
         - Content2
         - Content3
@@ -389,7 +383,7 @@ Supported Platforms:
 
     - code-block方式：
 
-        ```rst
+        ```text
         .. code-block::
 
         Content1