diff --git a/docs/programming_guide/source_en/api_structure.md b/docs/programming_guide/source_en/api_structure.md
index 6df689bd542165ad963fc18f93c1785dfb150dd9..1cc0f6e2d0bdb9febc2f13edb7049d79c3a913ef 100644
--- a/docs/programming_guide/source_en/api_structure.md
+++ b/docs/programming_guide/source_en/api_structure.md
@@ -55,7 +55,7 @@ if __name__ == "__main__":
 ```
 
 ```text
-12.0
+12.
 ```
 
 In the first step, a function (computational graph) is defined. In the second step, automatic differentiation is performed by using a backward API provided by MindSpore, and the first derivative function (computational graph) is defined. In the third step, the second derivative function (computational graph) is defined. After the input is given, the second derivative of the function defined in step 1 can be obtained at the specified position. The result of the second derivative is `12`.
diff --git a/docs/programming_guide/source_en/operators.md b/docs/programming_guide/source_en/operators.md
index 7ae063efcb21c00e55725c401e45cc81ce8661ec..948e7025e9e22543c94ecc6b3f4fe46259359e5f 100644
--- a/docs/programming_guide/source_en/operators.md
+++ b/docs/programming_guide/source_en/operators.md
@@ -163,8 +163,8 @@ print('scalar', add(1, 2))
 The following information is displayed:
 
 ```text
-tensor [[2.4, 4.2]
- [4.4, 6.4]]
+tensor [[2.4 4.2]
+ [4.4 6.4]]
 scalar 3
 ```
 
@@ -241,7 +241,7 @@ print(input_x + input_y)
  The following information is displayed:
 
 ```text
-[4.0 5.0 7.0]
+[4. 5. 7.]
 ```
 
 #### Element-wise Multiplication
@@ -287,7 +287,7 @@ print(output)
  The following information is displayed:
 
 ```text
-[0.7377037, 1.5307858, 1.2661037, 0.97641146]
+[0.7377037 1.5307858 1.2661037 0.97641146]
 ```
 
 ### Vector Operations
diff --git a/docs/programming_guide/source_en/optim.md b/docs/programming_guide/source_en/optim.md
index 7a697d2df242ef9cb06b369230f312f81b29426a..4c378db189e2f6237af38f31c639ed4f795effb9 100644
--- a/docs/programming_guide/source_en/optim.md
+++ b/docs/programming_guide/source_en/optim.md
@@ -58,7 +58,7 @@ if __name__ == '__main__':
 The following information is displayed:
 
 ```text
-[0.1, 0.1, 0.05, 0.05, 0.05, 0.01, 0.01, 0.01, 0.01, 0.01]
+[0.1 0.1 0.05 0.05 0.05 0.01 0.01 0.01 0.01 0.01]
 ```
 
 ### learning_rate_schedule
diff --git a/docs/programming_guide/source_en/tensor.md b/docs/programming_guide/source_en/tensor.md
index 6ca70599626ed667af8fcdac9710e0c527d74449..f5f6484ca515f81f11fdf7598c4837fb91dd2691 100644
--- a/docs/programming_guide/source_en/tensor.md
+++ b/docs/programming_guide/source_en/tensor.md
@@ -90,7 +90,7 @@ print(x_shape, x_dtype)
 The following information is displayed:
 
 ```text
-(2, 2) Int32
+(2 2) Int32
 ```
 
 ### Methods
@@ -124,7 +124,7 @@ False
 
 True
 
-[[ True  True]
+[[True  True]
  [False False]]
 
 ```
diff --git a/docs/programming_guide/source_zh_cn/operators.md b/docs/programming_guide/source_zh_cn/operators.md
index f07fc5498884c2c2da837b466ac901416eb1a08d..43de57e7b71110aa9b1ea549463a4c32ccdceba7 100644
--- a/docs/programming_guide/source_zh_cn/operators.md
+++ b/docs/programming_guide/source_zh_cn/operators.md
@@ -167,8 +167,8 @@ print('scalar', add(1, 2))
 输出如下：
 
 ```text
-tensor [[2.4, 4.2]
- [4.4, 6.4]]
+tensor [[2.4 4.2]
+ [4.4 6.4]]
 scalar 3
 ```
 
@@ -245,7 +245,7 @@ print(input_x + input_y)
  输出如下：
 
 ```text
-[4.0 5.0 7.0]
+[4. 5. 7.]
 ```
 
 #### Element-wise乘法
@@ -291,7 +291,7 @@ print(output)
  输出如下：
 
 ```text
-[0.7377037, 1.5307858, 1.2661037，0.97641146]
+[0.7377037 1.5307858 1.2661037 0.97641146]
 ```
 
 ### 向量运算
diff --git a/tutorials/training/source_zh_cn/index.rst b/tutorials/training/source_zh_cn/index.rst
index 42b957d7b40c7312d51136b0f28116b921003a62..ad346577d5b1b57331969859157724887e9f3325 100644
--- a/tutorials/training/source_zh_cn/index.rst
+++ b/tutorials/training/source_zh_cn/index.rst
@@ -581,6 +581,19 @@
 									</div>
 								</a>
 							</div>
+							<div class="doc-article-item all os-Linux hardware-Ascend stage-Model-Training user-Beginner user-Intermediate user-Expert experience-Online-Experience experience-Local-Experience hidden">
+								<a href="https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/kernel_incremental_compilation.html" class="article-link">
+									<div>
+										<div class="doc-article-head">
+											<span class="doc-head-content">算子增量编译</span>
+										</div>
+										<div class="doc-article-desc">
+											在执行网络模型的过程中，MindSpore会对所使用的算子进行编译，该阶段耗时会随网络模型规模的增大而增大。为提升用户二次执行模型的性能体验，我们提供了一种算子增量编译机制。目前算子增量编译功能仅支持在昇腾AI芯片上使用。
+
+										</div>
+									</div>
+								</a>
+							</div>
 							<div class="doc-article-item all os-Linux hardware-Ascend stage-Model-Training user-Intermediate user-Expert hidden">
 								<a href="https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/distributed_training_ascend.html" class="article-link">
 									<div>