From bc0087617cb6530ea80210b35cc66be95821379f Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Fri, 26 Aug 2022 19:38:23 +0800
Subject: [PATCH 01/21] Update grammar_list_cn.md

---
 docs/guides/jit/grammar_list_cn.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/guides/jit/grammar_list_cn.md b/docs/guides/jit/grammar_list_cn.md
index 6963c2d2928..3ca786e4889 100644
--- a/docs/guides/jit/grammar_list_cn.md
+++ b/docs/guides/jit/grammar_list_cn.md
@@ -135,9 +135,9 @@ def break_usage(x):
             break  # <------- jump out of while loop when break ;
     return tensor_idx
 ```
-当时输入 x = Tensor([1.0, 2.0 ,3.0]) 时，输出的 tensor_idx 是 Tensor([1])。
+当输入 x = Tensor([1.0, 2.0 ,3.0]) 时，输出的 tensor_idx 是 Tensor([1])。
 
-> 注：这里虽然 idx 是-1，但是返回值还是 Tensor。因为`tensor_idx` 在 while loop 中转化为了`Tensor`。
+> 注：这里虽然 tensor_idx 初始值是-1，但是返回值还是 Tensor。因为`idx` 在 while loop 中转化为了只含一个索引值的`Tensor`。
 
 
 ### 3.5 与、或、非

From 1254cbc69040105348101cd5a1c918807b7283ca Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Fri, 26 Aug 2022 21:48:42 +0800
Subject: [PATCH 02/21] Update grammar_list_cn.md

---
 docs/guides/jit/grammar_list_cn.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/docs/guides/jit/grammar_list_cn.md b/docs/guides/jit/grammar_list_cn.md
index 3ca786e4889..ee9c2934129 100644
--- a/docs/guides/jit/grammar_list_cn.md
+++ b/docs/guides/jit/grammar_list_cn.md
@@ -167,9 +167,11 @@ def and(x, y):
 <span id='6'></span>
 **主要逻辑：**
 
-动态图中可以直接用 Python 的类型转化语法来转化 Tensor 类型。如若 x 是 Tensor 时，float(x)可以将 x 的类型转化为 float。
+动态图中可以直接用 Python 的类型转化语法来转化 Tensor 类型。如若 x 是 Tensor 时（只支持含有一个元素的Tensor），
 
-动转静在运行时判断 x 是否是 Tensor，若是，则在动转静时使用静态图`cast`接口转化相应的 Tensor 类型。
+float(x)可以将 x 的类型转化为 float。动转静在运行时判断 x 是否是 Tensor，若是，则在动转静时使用静态图`cast`接口
+
+转化相应的 Tensor 类型。
 
 **使用样例**：
 

From 8af1affc01189c695475633fe3ee488df60a6bcd Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Fri, 26 Aug 2022 22:06:35 +0800
Subject: [PATCH 03/21] Update grammar_list_cn.md

---
 docs/guides/jit/grammar_list_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/grammar_list_cn.md b/docs/guides/jit/grammar_list_cn.md
index ee9c2934129..3336eb0722d 100644
--- a/docs/guides/jit/grammar_list_cn.md
+++ b/docs/guides/jit/grammar_list_cn.md
@@ -241,7 +241,7 @@ def recur_call(x):
 def list_example(x, y):
      a = [ x ]   # < ------ 支持直接创建
      a.append(x) # < ------ 支持调用 append、pop 操作
-     a[1] = y    # < ------ 支持下标修改 append
+     a[1] = y    # < ------ 支持下标修改 
      return a[0] # < ------ 支持下标获取
 ```
 

From d2198e26ee8960cf68a92b5c73d0e49f22eadf80 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 07:31:01 +0800
Subject: [PATCH 04/21] Update grammar_list_cn.md

---
 docs/guides/jit/grammar_list_cn.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/guides/jit/grammar_list_cn.md b/docs/guides/jit/grammar_list_cn.md
index 3336eb0722d..30ff5532d44 100644
--- a/docs/guides/jit/grammar_list_cn.md
+++ b/docs/guides/jit/grammar_list_cn.md
@@ -137,7 +137,7 @@ def break_usage(x):
 ```
 当输入 x = Tensor([1.0, 2.0 ,3.0]) 时，输出的 tensor_idx 是 Tensor([1])。
 
-> 注：这里虽然 tensor_idx 初始值是-1，但是返回值还是 Tensor。因为`idx` 在 while loop 中转化为了只含一个索引值的`Tensor`。
+> 注：这里虽然 tensor_idx 初始值是-1，但是返回值还是 Tensor。因为 `idx` 在 while loop 中转化为了只含一个索引值的 `Tensor`。
 
 
 ### 3.5 与、或、非
@@ -167,9 +167,9 @@ def and(x, y):
 <span id='6'></span>
 **主要逻辑：**
 
-动态图中可以直接用 Python 的类型转化语法来转化 Tensor 类型。如若 x 是 Tensor 时（只支持含有一个元素的Tensor），
+动态图中可以直接用 Python 的类型转化语法来转化 Tensor 类型。如若 x 是 Tensor 时（只支持含有一个元素的 Tensor ），
 
-float(x)可以将 x 的类型转化为 float。动转静在运行时判断 x 是否是 Tensor，若是，则在动转静时使用静态图`cast`接口
+float(x) 可以将 x 的类型转化为 float。动转静在运行时判断 x 是否是 Tensor，若是，则在动转静时使用静态图 `cast` 接口
 
 转化相应的 Tensor 类型。
 

From e34740397a5cf7eed4dbc8352d57812236e956c7 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 09:35:45 +0800
Subject: [PATCH 05/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index 81595f75b7b..e2b34c5c5f2 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -96,10 +96,10 @@
 def forward(self, x):
     out = self.linear(x)  # [bs, 3]
 
-    # 以下将 tensor 转为了 numpy 进行一系列操作
+    # 以下将 tensor 转为了 numpy array 进行一系列操作
     x_data = x.numpy().astype('float32')  # [bs, 10]
-    weight = np.random.randn([10,3])
-    mask = paddle.to_tensor(x_data * weight)  # 此处又转回了 Tensor
+    weight = np.random.randn(10, 3)
+    mask = paddle.to_tensor(x_data @ weight)  # 此处又转回了 Tensor
 
     out = out * mask
     return out
@@ -113,7 +113,7 @@ def forward(self, x):
     out = self.linear(x)  # [bs, 3]
 
     weight = paddle.randn([10,3], 'float32')
-    mask = x * weight
+    mask = paddle.matmul(x, weight)
 
     out = out * mask
     return out

From 70f3a2421a80bb342cb9760c61f856c36c14a987 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 09:40:31 +0800
Subject: [PATCH 06/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index e2b34c5c5f2..eac870d8a38 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -129,7 +129,7 @@ def forward(self, x):
 
 ## 四、to_tensor() 的使用
 
-``paddle.to_tensor()`` 接口是动态图模型代码中使用比较频繁的一个接口。 ``to_tensor``  功能强大，将可以将一个 ``scalar`` ， ``list`` ，``tuple`` ， ``numpy.ndarray`` 转为 ``paddle.Tensor`` 类型。
+``paddle.to_tensor()`` 接口是动态图模型代码中使用比较频繁的一个接口。 ``to_tensor``  功能强大，可以将一个 ``scalar`` ， ``list`` ，``tuple`` ， ``numpy.ndarray`` 转为 ``paddle.Tensor`` 类型。
 
 此接口是动态图独有的接口，在动转静时，会转换为 ``assign`` 接口：
 

From 7dc64c1145b41b2dab6ca7e6396af53d51f30ec8 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 10:09:17 +0800
Subject: [PATCH 07/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index eac870d8a38..86609b134c6 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -193,7 +193,7 @@ class SimpleNet(paddle.nn.Layer):
 
 动态图模型常常包含很多嵌套的子网络，建议各个自定义的子网络 ``sublayer`` **无论是否包含了参数，都继承 ``nn.Layer`` .**
 
-从 **Parameters 和 Buffers**  章节可知，有些 ``paddle.to_tensor`` 接口转来的 ``Tensor`` 也可能参与预测逻辑分支的计算，即模型导出时，也需要作为参数序列化保存到 ``.pdiparams`` 文件中。
+从 [**Parameters 和 Buffers**](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/guides/jit/principle_cn.html#buffer)  章节可知，有些 ``paddle.to_tensor`` 接口转来的 ``Tensor`` 也可能参与预测逻辑分支的计算，即模型导出时，也需要作为参数序列化保存到 ``.pdiparams`` 文件中。
 
 > **原因**： 若某个 sublayer 包含了 buffer Variables，但却没有继承 ``nn.Layer`` ，则可能导致保存的 ``.pdiparams`` 文件缺失部分重要参数。
 

From b20eac78d163da1fd0005faf29d102da9d026a87 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 10:14:28 +0800
Subject: [PATCH 08/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index 86609b134c6..ff8c34284bb 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -200,7 +200,7 @@ class SimpleNet(paddle.nn.Layer):
 **举个例子：**
 
 ```python
-class SimpleNet(object):                       # <---- 继承 Object
+class SimpleNet(object):                       # <---- 继承 object
     def __init__(self, mask):
         super(SimpleNet, self).__init__()
         self.linear = paddle.nn.Linear(10, 3)  # <---- Linear 参数永远都不会被更新

From d6846267dddd409e46d8041cc45a028d7356f7f7 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 10:16:54 +0800
Subject: [PATCH 09/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index ff8c34284bb..edd1f62e9c4 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -215,7 +215,7 @@ class SimpleNet(object):                       # <---- 继承 object
 
 同时，所有继承 ``nn.Layer`` 的 ``sublayer`` 都建议：
 
-+ 重写 ``forward`` 函数，尽量避免重写 ``__call__``` 函数
++ 重写 ``forward`` 函数，尽量避免重写 __call__ 函数
 > ``__call__`` 函数通常会包含框架层面的一些通用的处理逻辑，比如 ``pre_hook`` 和 ``post_hook`` 。重写此函数可能会覆盖框架层面的逻辑。
 
 +  尽量将 ``forward`` 函数作为 sublayers 的调用入口

From c613926508e9ddc6096924964c44d902b1ba6194 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 10:18:09 +0800
Subject: [PATCH 10/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index edd1f62e9c4..e1fc557a446 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -215,7 +215,7 @@ class SimpleNet(object):                       # <---- 继承 object
 
 同时，所有继承 ``nn.Layer`` 的 ``sublayer`` 都建议：
 
-+ 重写 ``forward`` 函数，尽量避免重写 __call__ 函数
++ 重写 ``forward`` 函数，尽量避免重写 ``__call__`` 函数
 > ``__call__`` 函数通常会包含框架层面的一些通用的处理逻辑，比如 ``pre_hook`` 和 ``post_hook`` 。重写此函数可能会覆盖框架层面的逻辑。
 
 +  尽量将 ``forward`` 函数作为 sublayers 的调用入口

From d56ff68ce0d6d76ba54faca8c604fc2e03d5076d Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 12:41:11 +0800
Subject: [PATCH 11/21] Update basic_usage_cn.md

---
 docs/guides/jit/basic_usage_cn.md | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/docs/guides/jit/basic_usage_cn.md b/docs/guides/jit/basic_usage_cn.md
index 7d0518c1a9a..cee68aad39d 100644
--- a/docs/guides/jit/basic_usage_cn.md
+++ b/docs/guides/jit/basic_usage_cn.md
@@ -882,6 +882,9 @@ class SimpleNet(Layer):
 若被装饰函数的参数列表除了 Tensor 类型，还包含其他如 Int、 String 等非 Tensor 类型时，推荐在函数中使用 kwargs 形式定义非 Tensor 参数，如下述样例中的 ``use_act`` 参数。
 
 ```python
+import paddle
+from paddle.jit import to_static
+
 class SimpleNet(Layer):
     def __init__(self, ):
         super(SimpleNet, self).__init__()
@@ -896,11 +899,11 @@ class SimpleNet(Layer):
 
 net = SimpleNet()
 # 方式一：save inference model with use_act=False
-net = to_static(input_spec=[InputSpec(shape=[None, 10], name='x')])
+net = to_static(net, input_spec=[InputSpec(shape=[None, 10], name='x')])
 paddle.jit.save(net, path='./simple_net')
 
 # 方式二：save inference model with use_act=True
-net = to_static(input_spec=[InputSpec(shape=[None, 10], name='x'), True])
+net = to_static(net, input_spec=[InputSpec(shape=[None, 10], name='x'), True])
 paddle.jit.save(net, path='./simple_net')
 ```
 

From a7bc2324e9a5b67e0f9350160b3e1db05f3a3b21 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 12:50:18 +0800
Subject: [PATCH 12/21] Update basic_usage_cn.md

---
 docs/guides/jit/basic_usage_cn.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/guides/jit/basic_usage_cn.md b/docs/guides/jit/basic_usage_cn.md
index cee68aad39d..eb80bddbe2c 100644
--- a/docs/guides/jit/basic_usage_cn.md
+++ b/docs/guides/jit/basic_usage_cn.md
@@ -884,6 +884,8 @@ class SimpleNet(Layer):
 ```python
 import paddle
 from paddle.jit import to_static
+from paddle.nn import Layer
+from paddle.static import InputSpec
 
 class SimpleNet(Layer):
     def __init__(self, ):

From bb1140124d6e690fe8059e27ee55d2ba915d8e79 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 13:25:31 +0800
Subject: [PATCH 13/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index e1fc557a446..316c7f2141d 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -265,7 +265,7 @@ def forward(self, x):
 model = SimpleNet()
 model.eval()           # <---- 一键切换分支，则只会导出 eval 相关的预测分支
 
-jit.save(mode, model_path)
+paddle.jit.save(model, model_path)
 ```
 
 

From 7fdd1471fe6122f5edd279c6b1a754cdadb3d34d Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 14:21:15 +0800
Subject: [PATCH 14/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index 316c7f2141d..0f352b1848a 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -271,13 +271,17 @@ paddle.jit.save(model, model_path)
 
 推荐使用 ``self.training`` 或其他非 Tensor 类型的 bool 值进行区分。
 
-此 flag 继承自 ``nn.Layer`` ，因此可通过 ``model.train()`` 和 ``model.eval()`` 来全局切换所有 sublayers 的分支状态。
+此 flag 继承自 ``paddle.nn.Layer`` ，因此可通过 ``model.train()`` 和 ``model.eval()`` 来全局切换所有 sublayers 的分支状态。
 
 ## 七、非 forward 函数导出
 
-`@to_static` 与 `jit.save` 接口搭配也支持导出非 forward 的其他函数，具体使用方式如下：
+`@paddle.jit.to_static` 与 `paddle.jit.save` 接口搭配也支持导出非 forward 的其他函数，具体使用方式如下：
 
 ```python
+import paddle
+from paddle.jit import to_static
+from paddle.static import InputSpec
+
 class SimpleNet(paddle.nn.Layer):
     def __init__(self):
         super(SimpleNet, self).__init__()
@@ -300,7 +304,7 @@ net = SimpleNet()
 net.eval()
 
 # step 2: 定义 InputSpec 信息 （同上）
-x_spec = InputSpec(shape=[None, 3], dtype='float32', name='x')
+x_spec = InputSpec(shape=[None, 10], dtype='float32', name='x')
 
 # step 3: @to_static 装饰
 static_func = to_static(net.another_func, input_spec=[x_spec])
@@ -312,12 +316,12 @@ net = paddle.jit.save(static_func, path='another_func')
 使用上的区别主要在于：
 
 + **`@to_static` 装饰**：导出其他函数时需要显式地用 `@to_static` 装饰，以告知动静转换模块将其识别、并转为静态图 Program；
-+ **`save`接口参数**：调用`jit.save`接口时，需将上述被`@to_static` 装饰后的函数作为**参数**；
++ **`save`接口参数**：调用`paddle.jit.save`接口时，需将上述被`@to_static` 装饰后的函数作为**参数**；
 
 执行上述代码样例后，在当前目录下会生成三个文件：
 ```
 another_func.pdiparams        // 存放模型中所有的权重数据
-another_func.pdimodel         // 存放模型的网络结构
+another_func.pdmodel         // 存放模型的网络结构
 another_func.pdiparams.info   // 存放额外的其他信息
 ```
 

From 10b91f70a5d652390ff65ce0ab5b05cd0e33094f Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 14:45:55 +0800
Subject: [PATCH 15/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index 0f352b1848a..41609f4ff45 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -309,8 +309,8 @@ x_spec = InputSpec(shape=[None, 10], dtype='float32', name='x')
 # step 3: @to_static 装饰
 static_func = to_static(net.another_func, input_spec=[x_spec])
 
-# step 4: 调用 jit.save 接口
-net = paddle.jit.save(static_func, path='another_func')
+# step 4: 调用 paddle.jit.save 接口
+paddle.jit.save(static_func, path='another_func')
 ```
 
 使用上的区别主要在于：

From 6c04fca035fe43457e648744a8c61625ca9d1814 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 15:11:15 +0800
Subject: [PATCH 16/21] Update save_cn.rst

---
 docs/api/paddle/jit/save_cn.rst | 94 ++++++++++++++++++++++++++++++++-
 1 file changed, 93 insertions(+), 1 deletion(-)

diff --git a/docs/api/paddle/jit/save_cn.rst b/docs/api/paddle/jit/save_cn.rst
index 51bbeddde63..c2df6ad3b8a 100644
--- a/docs/api/paddle/jit/save_cn.rst
+++ b/docs/api/paddle/jit/save_cn.rst
@@ -34,4 +34,96 @@ save
 代码示例
 :::::::::
 
-COPY-FROM: paddle.jit.save
+```python
+# example 1: save layer
+import numpy as np
+import paddle
+import paddle.nn as nn
+import paddle.optimizer as opt
+
+BATCH_SIZE = 16
+BATCH_NUM = 4
+EPOCH_NUM = 4
+
+IMAGE_SIZE = 784
+CLASS_NUM = 10
+
+# define a random dataset
+class RandomDataset(paddle.io.Dataset):
+    def __init__(self, num_samples):
+        self.num_samples = num_samples
+
+    def __getitem__(self, idx):
+        image = np.random.random([IMAGE_SIZE]).astype('float32')
+        label = np.random.randint(0, CLASS_NUM, (1, )).astype('int64')
+        return image, label
+
+    def __len__(self):
+        return self.num_samples
+
+class LinearNet(nn.Layer):
+    def __init__(self):
+        super(LinearNet, self).__init__()
+        self._linear = nn.Linear(IMAGE_SIZE, CLASS_NUM)
+
+    @paddle.jit.to_static
+    def forward(self, x):
+        return self._linear(x)
+
+def train(layer, loader, loss_fn, opt):
+    for epoch_id in range(EPOCH_NUM):
+        for batch_id, (images, labels) in enumerate(loader()):
+            out = layer(images)
+            loss = loss_fn(out, labels)
+            loss.backward()
+            opt.step()
+            opt.clear_grad()
+            print("Epoch {} batch {}: loss = {}".format(
+                epoch_id, batch_id, np.mean(loss.numpy())))
+
+# 1. train & save model.
+
+# create network
+layer = LinearNet()
+loss_fn = nn.CrossEntropyLoss()
+adam = opt.Adam(learning_rate=0.001, parameters=layer.parameters())
+
+# create data loader
+dataset = RandomDataset(BATCH_NUM * BATCH_SIZE)
+loader = paddle.io.DataLoader(dataset,
+    batch_size=BATCH_SIZE,
+    shuffle=True,
+    drop_last=True,
+    num_workers=2)
+
+# train
+train(layer, loader, loss_fn, adam)
+
+# save
+path = "example_model/linear"
+paddle.jit.save(layer, path)
+```
+
+```python
+# example 2: save function
+import paddle
+from paddle.static import InputSpec
+
+
+def save_function():
+    @paddle.jit.to_static
+    def fun(inputs):
+        return paddle.tanh(inputs)
+
+    path = 'test_jit_save_load_function/func'
+    inps = paddle.rand([3, 6])
+    origin = fun(inps)
+
+    paddle.jit.save(fun, path)
+    load_func = paddle.jit.load(path)
+
+    load_result = load_func(inps)
+    print((load_result - origin).abs().max() < 1e-10)
+
+save_function()
+```

From 7ab8bfa254b54b20cebaf88a8590113c69d48ae9 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 15:15:33 +0800
Subject: [PATCH 17/21] Update save_cn.rst

---
 docs/api/paddle/jit/save_cn.rst | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/docs/api/paddle/jit/save_cn.rst b/docs/api/paddle/jit/save_cn.rst
index c2df6ad3b8a..ad1ec87a34e 100644
--- a/docs/api/paddle/jit/save_cn.rst
+++ b/docs/api/paddle/jit/save_cn.rst
@@ -34,7 +34,7 @@ save
 代码示例
 :::::::::
 
-```python
+    ```python
 # example 1: save layer
 import numpy as np
 import paddle
@@ -102,9 +102,9 @@ train(layer, loader, loss_fn, adam)
 # save
 path = "example_model/linear"
 paddle.jit.save(layer, path)
-```
+    ```
 
-```python
+    ```python
 # example 2: save function
 import paddle
 from paddle.static import InputSpec
@@ -126,4 +126,4 @@ def save_function():
     print((load_result - origin).abs().max() < 1e-10)
 
 save_function()
-```
+    ```

From 1ee2cc351c32d891caef13972aaa65d708f50efd Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 15:16:31 +0800
Subject: [PATCH 18/21] Update save_cn.rst

---
 docs/api/paddle/jit/save_cn.rst | 164 ++++++++++++++++----------------
 1 file changed, 82 insertions(+), 82 deletions(-)

diff --git a/docs/api/paddle/jit/save_cn.rst b/docs/api/paddle/jit/save_cn.rst
index ad1ec87a34e..547a8fd7d78 100644
--- a/docs/api/paddle/jit/save_cn.rst
+++ b/docs/api/paddle/jit/save_cn.rst
@@ -35,95 +35,95 @@ save
 :::::::::
 
     ```python
-# example 1: save layer
-import numpy as np
-import paddle
-import paddle.nn as nn
-import paddle.optimizer as opt
-
-BATCH_SIZE = 16
-BATCH_NUM = 4
-EPOCH_NUM = 4
-
-IMAGE_SIZE = 784
-CLASS_NUM = 10
-
-# define a random dataset
-class RandomDataset(paddle.io.Dataset):
-    def __init__(self, num_samples):
-        self.num_samples = num_samples
-
-    def __getitem__(self, idx):
-        image = np.random.random([IMAGE_SIZE]).astype('float32')
-        label = np.random.randint(0, CLASS_NUM, (1, )).astype('int64')
-        return image, label
-
-    def __len__(self):
-        return self.num_samples
-
-class LinearNet(nn.Layer):
-    def __init__(self):
-        super(LinearNet, self).__init__()
-        self._linear = nn.Linear(IMAGE_SIZE, CLASS_NUM)
-
-    @paddle.jit.to_static
-    def forward(self, x):
-        return self._linear(x)
-
-def train(layer, loader, loss_fn, opt):
-    for epoch_id in range(EPOCH_NUM):
-        for batch_id, (images, labels) in enumerate(loader()):
-            out = layer(images)
-            loss = loss_fn(out, labels)
-            loss.backward()
-            opt.step()
-            opt.clear_grad()
-            print("Epoch {} batch {}: loss = {}".format(
-                epoch_id, batch_id, np.mean(loss.numpy())))
-
-# 1. train & save model.
-
-# create network
-layer = LinearNet()
-loss_fn = nn.CrossEntropyLoss()
-adam = opt.Adam(learning_rate=0.001, parameters=layer.parameters())
-
-# create data loader
-dataset = RandomDataset(BATCH_NUM * BATCH_SIZE)
-loader = paddle.io.DataLoader(dataset,
-    batch_size=BATCH_SIZE,
-    shuffle=True,
-    drop_last=True,
-    num_workers=2)
-
-# train
-train(layer, loader, loss_fn, adam)
-
-# save
-path = "example_model/linear"
-paddle.jit.save(layer, path)
+    # example 1: save layer
+    import numpy as np
+    import paddle
+    import paddle.nn as nn
+    import paddle.optimizer as opt
+
+    BATCH_SIZE = 16
+    BATCH_NUM = 4
+    EPOCH_NUM = 4
+
+    IMAGE_SIZE = 784
+    CLASS_NUM = 10
+
+    # define a random dataset
+    class RandomDataset(paddle.io.Dataset):
+        def __init__(self, num_samples):
+            self.num_samples = num_samples
+
+        def __getitem__(self, idx):
+            image = np.random.random([IMAGE_SIZE]).astype('float32')
+            label = np.random.randint(0, CLASS_NUM, (1, )).astype('int64')
+            return image, label
+
+        def __len__(self):
+            return self.num_samples
+
+    class LinearNet(nn.Layer):
+        def __init__(self):
+            super(LinearNet, self).__init__()
+            self._linear = nn.Linear(IMAGE_SIZE, CLASS_NUM)
+
+        @paddle.jit.to_static
+        def forward(self, x):
+            return self._linear(x)
+
+    def train(layer, loader, loss_fn, opt):
+        for epoch_id in range(EPOCH_NUM):
+            for batch_id, (images, labels) in enumerate(loader()):
+                out = layer(images)
+                loss = loss_fn(out, labels)
+                loss.backward()
+                opt.step()
+                opt.clear_grad()
+                print("Epoch {} batch {}: loss = {}".format(
+                    epoch_id, batch_id, np.mean(loss.numpy())))
+
+    # 1. train & save model.
+
+    # create network
+    layer = LinearNet()
+    loss_fn = nn.CrossEntropyLoss()
+    adam = opt.Adam(learning_rate=0.001, parameters=layer.parameters())
+
+    # create data loader
+    dataset = RandomDataset(BATCH_NUM * BATCH_SIZE)
+    loader = paddle.io.DataLoader(dataset,
+        batch_size=BATCH_SIZE,
+        shuffle=True,
+        drop_last=True,
+        num_workers=2)
+
+    # train
+    train(layer, loader, loss_fn, adam)
+
+    # save
+    path = "example_model/linear"
+    paddle.jit.save(layer, path)
     ```
 
     ```python
-# example 2: save function
-import paddle
-from paddle.static import InputSpec
+    # example 2: save function
+    import paddle
+    from paddle.static import InputSpec
 
 
-def save_function():
-    @paddle.jit.to_static
-    def fun(inputs):
-        return paddle.tanh(inputs)
+    def save_function():
+        @paddle.jit.to_static
+        def fun(inputs):
+            return paddle.tanh(inputs)
 
-    path = 'test_jit_save_load_function/func'
-    inps = paddle.rand([3, 6])
-    origin = fun(inps)
+        path = 'test_jit_save_load_function/func'
+        inps = paddle.rand([3, 6])
+        origin = fun(inps)
 
-    paddle.jit.save(fun, path)
-    load_func = paddle.jit.load(path)
+        paddle.jit.save(fun, path)
+        load_func = paddle.jit.load(path)
 
-    load_result = load_func(inps)
-    print((load_result - origin).abs().max() < 1e-10)
+        load_result = load_func(inps)
+        print((load_result - origin).abs().max() < 1e-10)
 
-save_function()
+    save_function()
     ```

From 408ce26cf1bea566626f25c14a5284ace02dda05 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 15:59:35 +0800
Subject: [PATCH 19/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index 41609f4ff45..dae1b866d25 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -330,7 +330,7 @@ another_func.pdiparams.info   // 存放额外的其他信息
 
 ## 八、再谈控制流
 
-前面[【控制流转写】(./basic_usage_cn.html#sikongzhiliuzhuanxie)]提到，不论控制流 ``if/for/while`` 语句是否需要转为静态图中的 ``cond_op/while_op`` ，都会先进行代码规范化，如 ``IfElse`` 语句会规范为如下范式：
+前面[【控制流转写】](./basic_usage_cn.html#sikongzhiliuzhuanxie)提到，不论控制流 ``if/for/while`` 语句是否需要转为静态图中的 ``cond_op/while_op`` ，都会先进行代码规范化，如 ``IfElse`` 语句会规范为如下范式：
 
 ```python
 def true_fn_0(out):

From 0f1a89eec30b0e3d98f0fc61e0f028547c5a2af4 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 16:03:40 +0800
Subject: [PATCH 20/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index dae1b866d25..f6428fa0b04 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -330,7 +330,7 @@ another_func.pdiparams.info   // 存放额外的其他信息
 
 ## 八、再谈控制流
 
-前面[【控制流转写】](./basic_usage_cn.html#sikongzhiliuzhuanxie)提到，不论控制流 ``if/for/while`` 语句是否需要转为静态图中的 ``cond_op/while_op`` ，都会先进行代码规范化，如 ``IfElse`` 语句会规范为如下范式：
+前面[【控制流转写】](./principle_cn.html#kongzhiliuzhuanxie)提到，不论控制流 ``if/for/while`` 语句是否需要转为静态图中的 ``cond_op/while_op`` ，都会先进行代码规范化，如 ``IfElse`` 语句会规范为如下范式：
 
 ```python
 def true_fn_0(out):

From 2643b2e5113d6a836ba748c9efa71872e86d8f97 Mon Sep 17 00:00:00 2001
From: OccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Date: Sat, 27 Aug 2022 16:15:49 +0800
Subject: [PATCH 21/21] Update case_analysis_cn.md

---
 docs/guides/jit/case_analysis_cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/guides/jit/case_analysis_cn.md b/docs/guides/jit/case_analysis_cn.md
index f6428fa0b04..42bc6b232bd 100644
--- a/docs/guides/jit/case_analysis_cn.md
+++ b/docs/guides/jit/case_analysis_cn.md
@@ -352,7 +352,7 @@ out = convert_ifelse(paddle.mean(x) > 5.0, true_fn_0, false_fn_0, (x,), (x,), (o
 
 当控制流中，出现了 ``list.append`` 类似语法时，情况会有一点点特殊。
 
-Paddle 框架中的 ``cond_op`` 和 [``while_loop``](https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/fluid/layers/while_loop_cn.html#cn-api-fluid-layers-while-loop) 对输入和返回类型有一个要求：
+Paddle 框架中的 [``cond_op``](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/static/nn/cond_cn.html#cond) 和 [``while_loop``](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/api/paddle/static/nn/while_loop_cn.html) 对输入和返回类型有一个要求：
 > 输入或者返回类型必须是：LoDTensor 或者 LoDTensorArray <br><br>
 > 即：不支持其他非 LoDTensor 类型