modify some note

RELEASE.md

@@ -17,7 +17,7 @@
 
 - [STABLE] Support dynamic weight decay for optimizers, that is weight decay value will change according to the increasing step during training.
 - [STABLE] Add four methods to create Tensor, which are `mindspore.numpy.rand()`, `mindspore.numpy.randn()`, `mindspore.numpy.randint()`, and `mindspore.ops.arange()`.
-- [STABLE] Add `mindspore.callback.History` and `mindspore.callback.LambdaCallback` in Callback.
+- [STABLE] Add `mindspore.callback.History` in Callback.
 - [BETA] Support custom operator implemented by Julia operator.
 - [STABLE] Support accessing attributes and methods of user-defined classes  through `mindspore.ms_class` class decorator.
 - [STABLE] Support training when a network has side effect operations and control flow statements at the same time.

RELEASE_CN.md

@@ -17,7 +17,7 @@
 
 - [STABLE] 优化器支持动态权重衰减，即训练期间权重衰减值随着step的增加而变化。
 - [STABLE] 增加四种创建Tensor的方法，分别是`mindspore.numpy.rand()`、`mindspore.numpy.randn()`、`mindspore.numpy.randint()`和`mindspore.ops.arange ()`。
-- [STABLE] 增加两种callback方法 `mindspore.callback.History` 和 `mindspore.callback.LambdaCallback`。
+- [STABLE] 增加一种callback方法 `mindspore.callback.History`。
 - [BETA] 自定义算子支持Julia算子。
 - [STABLE] 通过 `mindspore.ms_class` 类装饰器，支持获取用户自定义类的属性和方法。
 - [STABLE] 支持同时存在副作用算子和控制流语句的网络的训练。

docs/api/api_python/train/mindspore.train.callback.LambdaCallback.rst

@@ -6,6 +6,9 @@
 
     请注意，callback的每个阶段都需要一个位置参数：`run_context`。
 
+    .. note::
+        - 这是一个会变更或删除的实验性接口。
+
     **参数：**
 
     - **epoch_begin** (Function) - 每个epoch开始时被调用。

mindspore/python/mindspore/train/callback/_lambda_callback.py

@@ -22,9 +22,11 @@ class LambdaCallback(Callback):
     Callback for creating simple, custom callbacks.
 
     This callback is constructed with anonymous functions that will be called
-    at the appropriate time (during `mindspore.Model.{train | eval}`).
+    at the appropriate time (during `mindspore.Model.{train | eval}`). Note that
+    each stage of callbacks expects one positional arguments: `run_context`.
 
-    Note that each stage of callbacks expects one positional arguments: `run_context`.
+    Note:
+        This is an experimental interface that is subject to change or deletion.
 
     Args:
         epoch_begin (Function): called at the beginning of every epoch.