diff --git a/docs/mindspore/source_en/features/parallel/auto_parallel.rst b/docs/mindspore/source_en/features/parallel/auto_parallel.rst
index cd1fed1dcc3331e5c4b20de3eccac3f778c0f1dd..8aa80bb8e7734ce7604007e612d7da8dc477b1ab 100644
--- a/docs/mindspore/source_en/features/parallel/auto_parallel.rst
+++ b/docs/mindspore/source_en/features/parallel/auto_parallel.rst
@@ -69,7 +69,7 @@ The sharding strategy propagation algorithm means that the user only needs to ma
 
 Related interfaces:
 
-1. ``mindspore.parallel.auto_parallel.AutoParallel(net, parallel_mode="recursive_programming")``: Set the parallel mode and select the Strategy Propagation Algorithm or Recursive Algorithm via ``parallel_mode``.
+1. ``mindspore.parallel.auto_parallel.AutoParallel(net, parallel_mode="sharding_propagation")``: Set the parallel mode and select the Strategy Propagation Algorithm via ``parallel_mode``.
 
 2. ``mindspore.nn.Cell.shard()`` and ``mindspore.ops.Primitive.shard()``: Specifies the operator sharding strategy, and the strategy for the rest of the operators is derived by the propagation algorithm. Currently the ``mindspore.nn.Cell.shard()`` interface can be used in PyNative mode and Graph mode; The ``mindspore.ops.Primitive.shard()`` interface can only be used in Graph mode.
 
diff --git a/docs/mindspore/source_zh_cn/features/parallel/auto_parallel.rst b/docs/mindspore/source_zh_cn/features/parallel/auto_parallel.rst
index 6c7b025ce8547a7fb8742989df3f87228c7d5c58..2299cd627958c701c57bcea38ffe0004a447b8ff 100644
--- a/docs/mindspore/source_zh_cn/features/parallel/auto_parallel.rst
+++ b/docs/mindspore/source_zh_cn/features/parallel/auto_parallel.rst
@@ -71,7 +71,7 @@ MindSpore将单机版本的程序转换成并行版本的程序。该转换是
 
 相关接口：
 
-1. ``mindspore.parallel.auto_parallel.AutoParallel(net, parallel_mode="recursive_programming")``：设置并行模式，可以通过parallel_mode选择策略传播算法或双递归算法。
+1. ``mindspore.parallel.auto_parallel.AutoParallel(net, parallel_mode="sharding_propagation")``：设置并行模式，可以通过parallel_mode选择策略传播算法。
 
 2. ``mindspore.nn.Cell.shard()`` 以及 ``mindspore.ops.Primitive.shard()``：指定算子切分策略，其余算子的策略通过传播算法推导得到。目前 ``mindspore.nn.Cell.shard()`` 接口同时支持 PyNative 模式与 Graph 模式；``mindspore.ops.Primitive.shard()`` 接口仅可在 Graph 模式下使用。