Add example page

Ascend · Jun 5, 2024 · 76c7b43 · 76c7b43
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diff --git a/conf.py b/conf.py
@@ -17,7 +17,7 @@
 
 # -- Project information -----------------------------------------------------
 
-project = 'Ascend NPU for PyTorch'
+project = '昇腾开源'
 copyright = '2024, Ascend'
 author = 'Ascend'
 

diff --git a/index.rst b/index.rst
@@ -1,4 +1,4 @@
-昇腾AI处理器快速入门指南
+昇腾开源
 ==================================================
 
 .. -----------------------------------------
@@ -8,7 +8,7 @@
    :maxdepth: 2
    :hidden:
    :includehidden:
-   :caption: Get Started
+   :caption: 开始使用
 
    sources/ascend/quick_install.rst
 
@@ -20,6 +20,7 @@
 
    sources/pytorch/install.rst
    sources/pytorch/quick_start.rst
+   sources/pytorch/examples.rst
    sources/pytorch/api_doc.rst
 
 .. warning::
@@ -28,4 +29,4 @@
 
 选择您的偏好，并按照 :doc:`快速安装昇腾环境<sources/ascend/quick_install>` 的安装指导进行操作。
 
-安装成功后，请参考快速开始和样例来开始使用昇腾AI处理器。
+安装成功后，请参考各软件的快速开始和样例来开始使用昇腾AI处理器。
diff --git a/sources/pytorch/examples.rst b/sources/pytorch/examples.rst
@@ -0,0 +1,2 @@
+样例
+===========================
diff --git a/sources/pytorch/quick_start.rst b/sources/pytorch/quick_start.rst
@@ -209,7 +209,7 @@
         print(f'Accuracy for class: {classname:5s} is {accuracy:.1f} %')
 
 2. 使用DeepSpeed多卡并行训练
----------------------------
+-------------------------------
 以下代码使用了cifar10数据集，使用DeepSpeed训练模型在多张NPU卡上进行模型训练（来自 `DeepSpeed Examples <https://github.com/microsoft/DeepSpeedExamples/blob/master/training/cifar/cifar10_deepspeed.py>`_），自DeepSpeed v0.12.6之后，代码无需任何修改，即可自动检测NPU并进行训练。
 
 .. rli:: https://raw.githubusercontent.com/microsoft/DeepSpeedExamples/master/training/cifar/cifar10_deepspeed.py