diff --git a/tutorials/application/source_zh_cn/cv/dcgan.ipynb b/tutorials/application/source_zh_cn/cv/dcgan.ipynb
index d703a89fe778f6081757e2e969c052908a3b5b68..cefa804066f91f60d54de0080cfbac56741201d6 100644
--- a/tutorials/application/source_zh_cn/cv/dcgan.ipynb
+++ b/tutorials/application/source_zh_cn/cv/dcgan.ipynb
@@ -384,7 +384,7 @@
"\n",
"DCGAN论文生成图像如下所示。\n",
"\n",
- "\n",
+ "\n",
"\n",
"> 图片来源 https://arxiv.org/pdf/1511.06434.pdf"
]
@@ -840,7 +840,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- ""
+ ""
]
},
{
diff --git a/tutorials/application/source_zh_cn/cv/fgsm.ipynb b/tutorials/application/source_zh_cn/cv/fgsm.ipynb
index 0d3582a1f6bdb0b8ae2ee7bd0b7a2cd39833ab0d..430bdb7b31dcd9776a6387dd449c6aad6d2fd73a 100644
--- a/tutorials/application/source_zh_cn/cv/fgsm.ipynb
+++ b/tutorials/application/source_zh_cn/cv/fgsm.ipynb
@@ -6,7 +6,7 @@
"source": [
"# 模型对抗攻击 FGSM\n",
"\n",
- "[](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/zh_cn/cv/mindspore_fgsm.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/tutorials/zh_cn/cv/mindspore_fgsm.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/application/source_zh_cn/cv/fgsm.ipynb)\n",
+ "[](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/application/zh_cn/cv/mindspore_fgsm.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/application/zh_cn/cv/mindspore_fgsm.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/application/source_zh_cn/cv/fgsm.ipynb)\n",
"\n",
"近年来随着数据、计算能力、理论的不断发展演进,深度学习在图像、文本、语音、自动驾驶等众多领域都得到了广泛应用。与此同时,人们也越来越关注各类模型在使用过程中的安全问题,因为AI模型很容易受到外界有意无意的攻击而产生错误的结果。\n",
"\n",
diff --git a/tutorials/application/source_zh_cn/nlp/sentiment_analysis.ipynb b/tutorials/application/source_zh_cn/nlp/sentiment_analysis.ipynb
index 12204f09e58a194fc035b7e99c98e2587c27d503..e72eae9083b181d266ef698b956a2f30a2227c3e 100644
--- a/tutorials/application/source_zh_cn/nlp/sentiment_analysis.ipynb
+++ b/tutorials/application/source_zh_cn/nlp/sentiment_analysis.ipynb
@@ -567,17 +567,17 @@
"\n",
"循环神经网络(Recurrent Neural Network, RNN)是一类以序列(sequence)数据为输入,在序列的演进方向进行递归(recursion)且所有节点(循环单元)按链式连接的神经网络。下图为RNN的一般结构:\n",
"\n",
- "\n",
+ "\n",
"\n",
"> 图示左侧为一个RNN Cell循环,右侧为RNN的链式连接平铺。实际上不管是单个RNN Cell还是一个RNN网络,都只有一个Cell的参数,在不断进行循环计算中更新。\n",
"\n",
"由于RNN的循环特性,和自然语言文本的序列特性(句子是由单词组成的序列)十分匹配,因此被大量应用于自然语言处理研究中。下图为RNN的结构拆解:\n",
"\n",
- "\n",
+ "\n",
"\n",
"RNN单个Cell的结构简单,因此也造成了梯度消失(Gradient Vanishing)问题,具体表现为RNN网络在序列较长时,在序列尾部已经基本丢失了序列首部的信息。为了克服这一问题,LSTM(Long short term memory)被提出,通过门控机制(Gating Mechanism)来控制信息流在每个循环步中的留存和丢弃。下图为LSTM的结构拆解:\n",
"\n",
- "\n",
+ "\n",
"\n",
"本节我们选择LSTM变种而不是经典的RNN做特征提取,来规避梯度消失问题,并获得更好的模型效果。下面来看MindSpore中`nn.LSTM`对应的公式:\n",
"\n",
diff --git a/tutorials/experts/source_en/debug/dataset_autotune.md b/tutorials/experts/source_en/debug/dataset_autotune.md
index f19e5aac37146baa2ef160cf743f7b13f2f52489..963c51738318135d1f2b5ef682468eb34db861b3 100644
--- a/tutorials/experts/source_en/debug/dataset_autotune.md
+++ b/tutorials/experts/source_en/debug/dataset_autotune.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `Data Preparation`
-
+
## Overview
diff --git a/tutorials/experts/source_zh_cn/data_engine/auto_augmentation.ipynb b/tutorials/experts/source_zh_cn/data_engine/auto_augmentation.ipynb
index 425bb6b6c4081ea1b1531278b54ba11327e43afe..798fc613e3e2e9be1610590b5ef203578cad2a90 100644
--- a/tutorials/experts/source_zh_cn/data_engine/auto_augmentation.ipynb
+++ b/tutorials/experts/source_zh_cn/data_engine/auto_augmentation.ipynb
@@ -7,7 +7,7 @@
"\n",
"`Ascend` `GPU` `CPU` `数据准备`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2F1dG9fYXVnbWVudGF0aW9uLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_auto_augmentation.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_auto_augmentation.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/data_engine/source_zh_cn/auto_augmentation.ipynb)"
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2F1dG9fYXVnbWVudGF0aW9uLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_auto_augmentation.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_auto_augmentation.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/data_engine/auto_augmentation.ipynb)"
],
"metadata": {}
},
diff --git a/tutorials/experts/source_zh_cn/data_engine/cache.ipynb b/tutorials/experts/source_zh_cn/data_engine/cache.ipynb
index d1ab0c3fa950051f2bfce6cca65f12f1407e5afb..64faa3b8858b23b81945cf0a6ab456d942bf84ed 100644
--- a/tutorials/experts/source_zh_cn/data_engine/cache.ipynb
+++ b/tutorials/experts/source_zh_cn/data_engine/cache.ipynb
@@ -7,7 +7,7 @@
"\n",
"`Ascend` `GPU` `CPU` `数据准备`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2NhY2hlLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_cache.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_cache.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/data_engine/source_zh_cn/cache.ipynb)"
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2NhY2hlLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_cache.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_cache.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/data_engine/cache.ipynb)"
],
"metadata": {}
},
diff --git a/tutorials/experts/source_zh_cn/data_engine/eager.ipynb b/tutorials/experts/source_zh_cn/data_engine/eager.ipynb
index e9aaa189fb395c7c62db2b6fdfb0652d7983f0fa..a943b21c6dadab9595e8f9937dd010cafa968ddb 100644
--- a/tutorials/experts/source_zh_cn/data_engine/eager.ipynb
+++ b/tutorials/experts/source_zh_cn/data_engine/eager.ipynb
@@ -7,7 +7,7 @@
"\n",
"`Ascend` `GPU` `CPU` `数据准备`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2VhZ2VyLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_eager.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_eager.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/data_engine/source_zh_cn/eager.ipynb)"
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tb2RlbGFydHMvcHJvZ3JhbW1pbmdfZ3VpZGUvbWluZHNwb3JlX2VhZ2VyLmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_eager.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_eager.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/data_engine/eager.ipynb)"
],
"metadata": {}
},
diff --git a/tutorials/experts/source_zh_cn/data_engine/enable_auto_augmentation.md b/tutorials/experts/source_zh_cn/data_engine/enable_auto_augmentation.md
index 102da90247021a6cc195546f42cc4289db24c24c..79bebb9302fc841d258337bd7eb317d5b884745e 100644
--- a/tutorials/experts/source_zh_cn/data_engine/enable_auto_augmentation.md
+++ b/tutorials/experts/source_zh_cn/data_engine/enable_auto_augmentation.md
@@ -4,7 +4,7 @@
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/data_engine/enable_dataset_offload.md b/tutorials/experts/source_zh_cn/data_engine/enable_dataset_offload.md
index 9e5dc446d3bbb8b4185cbb291dadcbfde4419e72..193d097350f4c39b2bc4a795c82fc2a93f29e298 100644
--- a/tutorials/experts/source_zh_cn/data_engine/enable_dataset_offload.md
+++ b/tutorials/experts/source_zh_cn/data_engine/enable_dataset_offload.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `数据准备`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/data_engine/introduction.md b/tutorials/experts/source_zh_cn/data_engine/introduction.md
index 547a18d2a7d11ee36959157cd11ac5f88f68fde9..0ea388f55c307dceb0d716c98aafafe1f053f7bb 100644
--- a/tutorials/experts/source_zh_cn/data_engine/introduction.md
+++ b/tutorials/experts/source_zh_cn/data_engine/introduction.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `设计` `数据准备`
-
+
## 背景介绍
diff --git a/tutorials/experts/source_zh_cn/data_engine/optimize_data_processing.ipynb b/tutorials/experts/source_zh_cn/data_engine/optimize_data_processing.ipynb
index 6cafd01651427228f26bef99806cfc3bdb2bbbe9..8f018b7939883b1986319ff7d0ff86ef18ba7f81 100644
--- a/tutorials/experts/source_zh_cn/data_engine/optimize_data_processing.ipynb
+++ b/tutorials/experts/source_zh_cn/data_engine/optimize_data_processing.ipynb
@@ -7,7 +7,7 @@
"\n",
"`Ascend` `GPU` `CPU` `数据准备`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX29wdGltaXplX2RhdGFfcHJvY2Vzc2luZy5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_optimize_data_processing.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_optimize_data_processing.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/data_engine/source_zh_cn/optimize_data_processing.ipynb)"
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX29wdGltaXplX2RhdGFfcHJvY2Vzc2luZy5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_optimize_data_processing.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_optimize_data_processing.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/data_engine/optimize_data_processing.ipynb)"
],
"metadata": {}
},
diff --git a/tutorials/experts/source_zh_cn/debug/auto_tune.md b/tutorials/experts/source_zh_cn/debug/auto_tune.md
index e38ea2eade7d3d2698a988d484d8e5b332bbc49c..ce034d6e98f6464167a64c72bcdefcd85cfbb7b0 100644
--- a/tutorials/experts/source_zh_cn/debug/auto_tune.md
+++ b/tutorials/experts/source_zh_cn/debug/auto_tune.md
@@ -2,7 +2,7 @@
`Ascend` `模型调优`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/debug/custom_debugging_info.md b/tutorials/experts/source_zh_cn/debug/custom_debugging_info.md
index fbe68757e21a5e41efd95273dadaef23ad74eeaf..91e7437b2a230f0e0c16820101624fe68522a945 100644
--- a/tutorials/experts/source_zh_cn/debug/custom_debugging_info.md
+++ b/tutorials/experts/source_zh_cn/debug/custom_debugging_info.md
@@ -4,7 +4,7 @@
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/debug/dataset_autotune.md b/tutorials/experts/source_zh_cn/debug/dataset_autotune.md
index f4d6c3769379a72364a87d494547c2379f83e84c..99757f5ce6c1699c8fe7166e6bc3e7b3a8a7965a 100644
--- a/tutorials/experts/source_zh_cn/debug/dataset_autotune.md
+++ b/tutorials/experts/source_zh_cn/debug/dataset_autotune.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `数据处理` `性能调优`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.ipynb b/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.ipynb
index bfac7ad7699dcdbfb76bc71de86370f57d8a5fdf..00d345e1f2978a010c8349a96f8c4f956747f920 100644
--- a/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.ipynb
+++ b/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.ipynb
@@ -14,7 +14,7 @@
"\n",
"`Ascend` `GPU` `CPU` `模型运行`\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_debug_in_pynative_mode.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_debug_in_pynative_mode.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/debug/source_zh_cn/debug_in_pynative_mode.ipynb)\n",
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_debug_in_pynative_mode.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_debug_in_pynative_mode.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.ipynb)\n",
"\n",
"## 概述\n",
"\n",
diff --git a/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.md b/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.md
index 26071eecd3799821393dcd4991003f9132b1de5f..004795bb1057f0345f897a512caa730203b54f5f 100644
--- a/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.md
+++ b/tutorials/experts/source_zh_cn/debug/debug_in_pynative_mode.md
@@ -1,6 +1,6 @@
# PyNative模式应用
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/debug/ms_class.ipynb b/tutorials/experts/source_zh_cn/debug/ms_class.ipynb
index fba38938ad22d64887bea7898cea8c85c38034d5..ba9de02835d4cb9e485d7b9d2aadc2bf32502ecc 100644
--- a/tutorials/experts/source_zh_cn/debug/ms_class.ipynb
+++ b/tutorials/experts/source_zh_cn/debug/ms_class.ipynb
@@ -8,7 +8,7 @@
"\n",
"`Ascend` `GPU` `CPU` `模型运行`\n",
"\n",
- "[](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/debug/mindspore_ms_class.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/debug/mindspore_ms_class.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/debug/source_zh_cn/ms_class.ipynb)\n",
+ "[](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/debug/mindspore_ms_class.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/tutorials-develop/tutorials/zh_cn/debug/mindspore_ms_class.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/debug/ms_class.ipynb)\n",
"\n",
"## 概述\n",
"\n",
diff --git a/tutorials/experts/source_zh_cn/debug/read_ir_files.md b/tutorials/experts/source_zh_cn/debug/read_ir_files.md
index ebea54912f82587f98049d83cc235127ea55ddda..b5ca39cc73b5909b55864c798312f7d7bc4d0d12 100644
--- a/tutorials/experts/source_zh_cn/debug/read_ir_files.md
+++ b/tutorials/experts/source_zh_cn/debug/read_ir_files.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `模型调试`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/model_infer/inference.md b/tutorials/experts/source_zh_cn/model_infer/inference.md
index 6e1b49499ce1cb2e74dfd2d942d24dfc07642ac1..a091f9b0e179a37d6b84e7b7d90565be26094855 100644
--- a/tutorials/experts/source_zh_cn/model_infer/inference.md
+++ b/tutorials/experts/source_zh_cn/model_infer/inference.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `推理应用`
-
+
MindSpore可以基于训练好的模型,在不同的硬件平台上执行推理任务。
diff --git a/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_air.md b/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_air.md
index 10b56786e526690008b533186a0f76a481cc76fb..baffdf8d512e311f9f5a0961c584ad5d7390d4f4 100644
--- a/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_air.md
+++ b/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_air.md
@@ -2,7 +2,7 @@
`Ascend` `推理应用`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_mindir.md b/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_mindir.md
index 538f3cd714206cafc9b18a8d6b8fa1e210d9e8b8..22aea3ba199236071f1008ca02ac3b5292d2c872 100644
--- a/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_mindir.md
+++ b/tutorials/experts/source_zh_cn/model_infer/inference_ascend_310_mindir.md
@@ -2,7 +2,7 @@
`Ascend` `推理应用`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/model_infer/inference_ascend_910.md b/tutorials/experts/source_zh_cn/model_infer/inference_ascend_910.md
index c9abe221d3fade30b205e0203fa390f8d6e5a23b..071a032ffbf14599c2c51a2b799de8b71ed3ba54 100644
--- a/tutorials/experts/source_zh_cn/model_infer/inference_ascend_910.md
+++ b/tutorials/experts/source_zh_cn/model_infer/inference_ascend_910.md
@@ -2,7 +2,7 @@
`Ascend` `推理应用`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/model_infer/inference_cpu.md b/tutorials/experts/source_zh_cn/model_infer/inference_cpu.md
index cd398fa2520f1a1f73f3cb08d668f3a7f22fddbe..84734f6b458687816c2e9ba4ad9de9ccedc72999 100644
--- a/tutorials/experts/source_zh_cn/model_infer/inference_cpu.md
+++ b/tutorials/experts/source_zh_cn/model_infer/inference_cpu.md
@@ -2,7 +2,7 @@
`CPU` `推理应用`
-
+
## 使用ONNX格式文件推理
diff --git a/tutorials/experts/source_zh_cn/model_infer/inference_gpu.md b/tutorials/experts/source_zh_cn/model_infer/inference_gpu.md
index 79529183bf116672b77b42e74cf1f409533a6afb..72dfc612bc06aeaeceb5d2d7b8e1cc8f3d509fa1 100644
--- a/tutorials/experts/source_zh_cn/model_infer/inference_gpu.md
+++ b/tutorials/experts/source_zh_cn/model_infer/inference_gpu.md
@@ -2,7 +2,7 @@
`GPU` `推理应用`
-
+
## 使用C++接口推理MindIR格式文件
diff --git a/tutorials/experts/source_zh_cn/model_infer/online_inference.md b/tutorials/experts/source_zh_cn/model_infer/online_inference.md
index 930b93ff270c21258fe14d2648ab6af9ece6c26d..ce2081fb8aeeff2676fd3f333dbdec84df711e3d 100644
--- a/tutorials/experts/source_zh_cn/model_infer/online_inference.md
+++ b/tutorials/experts/source_zh_cn/model_infer/online_inference.md
@@ -2,7 +2,7 @@
`Ascend` `推理应用`
-
+
## 使用`model.eval`接口进行模型验证
diff --git a/tutorials/experts/source_zh_cn/model_infer/post_training_quantization.md b/tutorials/experts/source_zh_cn/model_infer/post_training_quantization.md
index 58a06befcbcaf733f7f006a900a61239f088cc94..46b8da20b0250f90083cdda16de7651593e9fc92 100644
--- a/tutorials/experts/source_zh_cn/model_infer/post_training_quantization.md
+++ b/tutorials/experts/source_zh_cn/model_infer/post_training_quantization.md
@@ -1,6 +1,6 @@
# 训练后量化
-
+
## 概念
diff --git a/tutorials/experts/source_zh_cn/operation/incremental_compilation.md b/tutorials/experts/source_zh_cn/operation/incremental_compilation.md
index 8a388b2c936f18ddb1a845784107d14cd3ffaa07..4ae1522efe8403c724127608b92470a67f25da89 100644
--- a/tutorials/experts/source_zh_cn/operation/incremental_compilation.md
+++ b/tutorials/experts/source_zh_cn/operation/incremental_compilation.md
@@ -2,7 +2,7 @@
`Ascend` `模型调试`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/operation/op_ascend.md b/tutorials/experts/source_zh_cn/operation/op_ascend.md
index c00ddb2935af9847a8b5a5863b95b1b6f4b74981..8b78a72f47bc59868d8abfbfdb2e439c58e9deea 100644
--- a/tutorials/experts/source_zh_cn/operation/op_ascend.md
+++ b/tutorials/experts/source_zh_cn/operation/op_ascend.md
@@ -2,7 +2,7 @@
`Ascend` `模型开发`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/operation/op_classification.ipynb b/tutorials/experts/source_zh_cn/operation/op_classification.ipynb
index 6bd0d6b2d47caf93ad26c34a317d4db89ca27bb1..69ef5379b20d84aa019455345cf7451322f5dce9 100644
--- a/tutorials/experts/source_zh_cn/operation/op_classification.ipynb
+++ b/tutorials/experts/source_zh_cn/operation/op_classification.ipynb
@@ -8,7 +8,7 @@
"\n",
"`Ascend` `GPU` `CPU` `入门`\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX29wZXJhdG9yc19jbGFzc2lmaWNhdGlvbi5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_operators_classification.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_operators_classification.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/operation/source_zh_cn/op_classification.ipynb)\n",
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX29wZXJhdG9yc19jbGFzc2lmaWNhdGlvbi5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_operators_classification.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_operators_classification.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/operation/op_classification.ipynb)\n",
"\n",
"## 概述\n",
"\n",
diff --git a/tutorials/experts/source_zh_cn/operation/op_cpu.md b/tutorials/experts/source_zh_cn/operation/op_cpu.md
index eb203dcddf82de46e2573a07f1952db637b6f2e9..70c99a7c6c8cf3a0fc0a2b8ce1c3d4a31bf64b40 100644
--- a/tutorials/experts/source_zh_cn/operation/op_cpu.md
+++ b/tutorials/experts/source_zh_cn/operation/op_cpu.md
@@ -2,7 +2,7 @@
`CPU` `模型开发`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/operation/op_custom.md b/tutorials/experts/source_zh_cn/operation/op_custom.md
index 9bf66eabe93d3be87ffcf08bf3334af5c5b74dba..28ffa1ca927fd4f4984ad312033e86f52bed8460 100644
--- a/tutorials/experts/source_zh_cn/operation/op_custom.md
+++ b/tutorials/experts/source_zh_cn/operation/op_custom.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `模型开发`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/operation/op_gpu.md b/tutorials/experts/source_zh_cn/operation/op_gpu.md
index 09450c3a518d03f37a19a49ec880f88f3f7289e2..e4626d1c6020c0cd6dc741bd58f6fdc5ca87c700 100644
--- a/tutorials/experts/source_zh_cn/operation/op_gpu.md
+++ b/tutorials/experts/source_zh_cn/operation/op_gpu.md
@@ -2,7 +2,7 @@
`GPU` `模型开发`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/operation/op_overload.ipynb b/tutorials/experts/source_zh_cn/operation/op_overload.ipynb
index 672909704cddd79b4284c40f5872e2381a9ad640..d7a665425b89094b11f9199151a152a713fb3d88 100644
--- a/tutorials/experts/source_zh_cn/operation/op_overload.ipynb
+++ b/tutorials/experts/source_zh_cn/operation/op_overload.ipynb
@@ -8,7 +8,7 @@
"\n",
"[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/operation/mindspore_op_overload.ipynb) \n",
"[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/tutorials-develop/tutorials/zh_cn/operation/mindspore_op_overload.py) \n",
- "[](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/operation/source_zh_cn/op_overload.ipynb)\n",
+ "[](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/operation/op_overload.ipynb)\n",
"\n",
"`mindspore.ops.functional`模块提供了一些用户可能会用到操作,例如运算重载、取最大/小值、生成正态分布随机数、生成拉普拉斯分布随机数等,下面我们介绍运算重载的使用方式。\n",
"\n",
diff --git a/tutorials/experts/source_zh_cn/others/apply_host_device_training.md b/tutorials/experts/source_zh_cn/others/apply_host_device_training.md
index 3dd3c47be4525a7a96c487ffc48f2a35749f817b..28df9bf00471ab8a7e29ffaeeaf4a4874df5de42 100644
--- a/tutorials/experts/source_zh_cn/others/apply_host_device_training.md
+++ b/tutorials/experts/source_zh_cn/others/apply_host_device_training.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/others/cv_resnet50_second_order_optimizer.md b/tutorials/experts/source_zh_cn/others/cv_resnet50_second_order_optimizer.md
index 69d9ad0204b0c8b19d31dbe67542df7ab335ca63..a33bdc1612986110e9b4240f5ff203815050b91c 100644
--- a/tutorials/experts/source_zh_cn/others/cv_resnet50_second_order_optimizer.md
+++ b/tutorials/experts/source_zh_cn/others/cv_resnet50_second_order_optimizer.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `扩展功能` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/others/gradient_accumulation.md b/tutorials/experts/source_zh_cn/others/gradient_accumulation.md
index 6879c3dfc1dfb661d4167c611a32796500eb2db9..d0731526d0da426914d765baf563c539dc5f068b 100644
--- a/tutorials/experts/source_zh_cn/others/gradient_accumulation.md
+++ b/tutorials/experts/source_zh_cn/others/gradient_accumulation.md
@@ -4,7 +4,7 @@
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/others/lossscale.ipynb b/tutorials/experts/source_zh_cn/others/lossscale.ipynb
index 657ef624819a66efe746db8955bf1f8985c76245..e293cd4bf30940c36a7a95f1711d5c9c086bae4e 100644
--- a/tutorials/experts/source_zh_cn/others/lossscale.ipynb
+++ b/tutorials/experts/source_zh_cn/others/lossscale.ipynb
@@ -10,7 +10,7 @@
"\n",
"感谢:[ZOMI酱](https://www.zhihu.com/people/ZOMI) 提供编辑\n",
"\n",
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX2xvc3NzY2FsZS5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_lossscale.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_lossscale.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/others/source_zh_cn/lossscale.ipynb)\n",
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX2xvc3NzY2FsZS5pcHluYg==&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_lossscale.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_lossscale.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/others/lossscale.ipynb)\n",
"\n",
"## 概述\n",
"\n",
diff --git a/tutorials/experts/source_zh_cn/others/mixed_precision.md b/tutorials/experts/source_zh_cn/others/mixed_precision.md
index faec553aaa612f01985f95f8f5a14a7cec4e624f..74178f9461c710ab1f3e59ed944acaf54f71ddbe 100644
--- a/tutorials/experts/source_zh_cn/others/mixed_precision.md
+++ b/tutorials/experts/source_zh_cn/others/mixed_precision.md
@@ -5,7 +5,7 @@
感谢:[ZOMI酱](https://www.zhihu.com/people/ZOMI)
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/others/numpy.ipynb b/tutorials/experts/source_zh_cn/others/numpy.ipynb
index 8c50189245e7e622763b3d2cc04ec2b50d38595b..9798a3c86b4375d3ab6942bd2eb59b0b5bb4682c 100644
--- a/tutorials/experts/source_zh_cn/others/numpy.ipynb
+++ b/tutorials/experts/source_zh_cn/others/numpy.ipynb
@@ -12,7 +12,7 @@
{
"cell_type": "markdown",
"source": [
- "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX251bXB5LmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_numpy.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_numpy.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/others/source_zh_cn/numpy.ipynb)"
+ "[](https://authoring-modelarts-cnnorth4.huaweicloud.com/console/lab?share-url-b64=aHR0cHM6Ly9taW5kc3BvcmUtd2Vic2l0ZS5vYnMuY24tbm9ydGgtNC5teWh1YXdlaWNsb3VkLmNvbS9ub3RlYm9vay9tYXN0ZXIvcHJvZ3JhbW1pbmdfZ3VpZGUvemhfY24vbWluZHNwb3JlX251bXB5LmlweW5i&imageid=65f636a0-56cf-49df-b941-7d2a07ba8c8c) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_numpy.ipynb) [](https://mindspore-website.obs.cn-north-4.myhuaweicloud.com/notebook/master/programming_guide/zh_cn/mindspore_numpy.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/others/numpy.ipynb)"
],
"metadata": {}
},
diff --git a/tutorials/experts/source_zh_cn/others/on_device.ipynb b/tutorials/experts/source_zh_cn/others/on_device.ipynb
index 6cee9e03d50ac822b2331e3ea962a97613ebe2a6..2395f359156a97b0ab5f17b0440ce9203051baca 100644
--- a/tutorials/experts/source_zh_cn/others/on_device.ipynb
+++ b/tutorials/experts/source_zh_cn/others/on_device.ipynb
@@ -8,7 +8,7 @@
"\n",
"`Ascend` `GPU` `CPU` `模型运行`\n",
"\n",
- "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_on_device.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_on_device.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/others/source_zh_cn/on_device.ipynb)"
+ "[](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_on_device.ipynb) [](https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/master/programming_guide/zh_cn/mindspore_on_device.py) [](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/experts/source_zh_cn/others/on_device.ipynb)"
]
},
{
diff --git a/tutorials/experts/source_zh_cn/others/quantization_aware_training.md b/tutorials/experts/source_zh_cn/others/quantization_aware_training.md
index 9613bc363dd6ef327b6b962421d5e0f21b92fdfc..468acfb8f187751d69d0549108b7b4c85b59abc5 100644
--- a/tutorials/experts/source_zh_cn/others/quantization_aware_training.md
+++ b/tutorials/experts/source_zh_cn/others/quantization_aware_training.md
@@ -3,7 +3,7 @@
`Ascend` `GPU` `扩展功能`
-
+
## 背景
diff --git a/tutorials/experts/source_zh_cn/others/read_ir_files.md b/tutorials/experts/source_zh_cn/others/read_ir_files.md
index 8ecaf78cabb22cec51267df0dd8f76437b6b2b5b..6d14fe1a97ee9accf0296295dc4f25c6b4cfee79 100644
--- a/tutorials/experts/source_zh_cn/others/read_ir_files.md
+++ b/tutorials/experts/source_zh_cn/others/read_ir_files.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `模型调试`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/others/thor.md b/tutorials/experts/source_zh_cn/others/thor.md
index 45e5cbb9731f6b45575ead42195237d4c4707dd9..c852c140974e93635c25a60185886f0a03606c85 100644
--- a/tutorials/experts/source_zh_cn/others/thor.md
+++ b/tutorials/experts/source_zh_cn/others/thor.md
@@ -2,7 +2,7 @@
`Ascend` `扩展功能`
-
+
深度学习训练过程可以看成损失函数损失值下降过程,合适的优化器可以让深度学习训练时间大大减少。优化器可以分为一阶优化器和二阶优化器,目前业界主流使用的仍然是一阶优化器,二阶优化器因为单步训练时间过久而没有被广泛应用,而近年来,将二阶优化应用到深度学习训练中有了理论突破,并取得了不错的结果。
diff --git a/tutorials/experts/source_zh_cn/parallel/adaptive_summation.md b/tutorials/experts/source_zh_cn/parallel/adaptive_summation.md
index 4029d464cdf95eacbde9692fe5283bbfd2d739ba..10be62fa833157feec327b6e04cb5823827a7376 100644
--- a/tutorials/experts/source_zh_cn/parallel/adaptive_summation.md
+++ b/tutorials/experts/source_zh_cn/parallel/adaptive_summation.md
@@ -2,7 +2,7 @@
`Ascend` `模型调优` `分布式训练`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/apply_host_device_training.md b/tutorials/experts/source_zh_cn/parallel/apply_host_device_training.md
index 8ac8ed5381e0c571d20ec98254b00e9809dc2380..cb16b46c2a1be6f63f75f21a6b4194b91fef0376 100644
--- a/tutorials/experts/source_zh_cn/parallel/apply_host_device_training.md
+++ b/tutorials/experts/source_zh_cn/parallel/apply_host_device_training.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/apply_operator_parallel.md b/tutorials/experts/source_zh_cn/parallel/apply_operator_parallel.md
index 0115a00a8d3627f413ada153245d2b81823ebee0..268eeacb7ec799fbf85eb43db9dce37238bbc6b8 100644
--- a/tutorials/experts/source_zh_cn/parallel/apply_operator_parallel.md
+++ b/tutorials/experts/source_zh_cn/parallel/apply_operator_parallel.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/apply_parameter_server_training.md b/tutorials/experts/source_zh_cn/parallel/apply_parameter_server_training.md
index 99eeb9bf5cc8a32729922d99d2e33b1ee9e39736..96d7f555f9451682548491319f65c86d81b097e9 100644
--- a/tutorials/experts/source_zh_cn/parallel/apply_parameter_server_training.md
+++ b/tutorials/experts/source_zh_cn/parallel/apply_parameter_server_training.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/apply_pipeline_parallel.md b/tutorials/experts/source_zh_cn/parallel/apply_pipeline_parallel.md
index 0f2cf855eadce0c7c89a118aad3e4ccce6439d64..00c6d5f880fa9f2369f5582b5eacb0e2d66e8d79 100644
--- a/tutorials/experts/source_zh_cn/parallel/apply_pipeline_parallel.md
+++ b/tutorials/experts/source_zh_cn/parallel/apply_pipeline_parallel.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/apply_recompute.md b/tutorials/experts/source_zh_cn/parallel/apply_recompute.md
index 88953aff73d39e0f5fbdfa32af3548fa6f8f91ce..d77d6fbc65c0113209111751e3b61fc2f6c01c6d 100644
--- a/tutorials/experts/source_zh_cn/parallel/apply_recompute.md
+++ b/tutorials/experts/source_zh_cn/parallel/apply_recompute.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `CPU` `模型运行` `中级` `高级`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/auto_parallel.md b/tutorials/experts/source_zh_cn/parallel/auto_parallel.md
index 7a669ee57bce60c62435de9453929d966cb2789f..97fefb1fcb2757bed056d07591f7bb53a2a455d5 100644
--- a/tutorials/experts/source_zh_cn/parallel/auto_parallel.md
+++ b/tutorials/experts/source_zh_cn/parallel/auto_parallel.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/communication_primitive.md b/tutorials/experts/source_zh_cn/parallel/communication_primitive.md
index 4ef89b20dd4cfa155835936a0c9ee56a3e6e4016..8514e1f4176db5fdde45cb2b4950a3efc4289724 100644
--- a/tutorials/experts/source_zh_cn/parallel/communication_primitive.md
+++ b/tutorials/experts/source_zh_cn/parallel/communication_primitive.md
@@ -1,6 +1,6 @@
# 分布式训练通信原语
-
+
当将神经网络的训练并行化到集群中不同的节点时,必须选择如何将不同的计算操作分配到集群中可用的节点,这就离不开对分布式集群的通信进行操作。
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_advanced_overview.md b/tutorials/experts/source_zh_cn/parallel/distributed_advanced_overview.md
index d1cfb82a1172aaf1d57c2680668c2454d0a0f762..bdd522821d0110589b309290ae9d0c7f7ea883a5 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_advanced_overview.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_advanced_overview.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行`
-
+
## 背景
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_inference.md b/tutorials/experts/source_zh_cn/parallel/distributed_inference.md
index 6ebb0c06f7dbee81015cfa7d19c094cb3c7ddf39..a1818d6c2c330519a5a525a42ac8f3684e7dfcf1 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_inference.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_inference.md
@@ -2,7 +2,7 @@
`Ascend` `推理应用`
-
+
分布式推理是指推理阶段采用多卡进行推理。如果训练时采用数据并行或者模型参数是合并保存,那么推理方式与上述一致,只需要注意每卡加载同样的CheckPoint文件进行推理。
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_ascend.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_ascend.md
index 9d594e49c8c05e1a380dfe3e7911dec7423c8004..f2ebef66d62a69610c18f5cf562b504b515c6d24 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_ascend.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_ascend.md
@@ -2,7 +2,7 @@
`Ascend` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_comm_fusion.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_comm_fusion.md
index 709ff4e40f3bcb39fa8fe5f7c5c779b00222390a..90a96fbc9a7445a466cae2dd0e81123ee6b1d0f3 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_comm_fusion.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_comm_fusion.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_dataset_slice.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_dataset_slice.md
index 00687c097d33efb59e8df3b7a58e4c88f22b8202..62a55365d3ba919f21fb4b796989322abd28d0c5 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_dataset_slice.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_dataset_slice.md
@@ -2,7 +2,7 @@
`Ascend` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_fault_recover.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_fault_recover.md
index f1c195345cc089d40547def3ebe6b8a6d876aa77..27e6f59bd455fcec588802c635e3056da1ed90a0 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_fault_recover.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_fault_recover.md
@@ -2,7 +2,7 @@
`Ascend` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_gpu.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_gpu.md
index 5a67f76617ca3ff8cd2a526ca4657b9e00ef8d04..9aed284c6d165c93d75a9b13e3746f0724f0b230 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_gpu.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_gpu.md
@@ -2,7 +2,7 @@
`GPU` `分布式并行` `全流程`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_mode.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_mode.md
index 56e7ede320475ffc736789329d6a36d27db26113..0645794e977cc67879bac2fc011675b85850e328 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_mode.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_mode.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行`
-
+
目前MindSpore支持下述的四种并行模式:
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_ops.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_ops.md
index 759dc471486f508f8cd4ea301b002258206389c4..72ce8c1ca51be0c1d86dd5da6b5c67162c66c893 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_ops.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_ops.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行`
-
+
在分布式训练中涉及例如`AllReduce`、`ReduceScatter`、`AllGather`和`Broadcast`等通信操作进行数据传输,我们将在下述的章节分别阐述其含义和示例代码。
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_parallel_opt.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_parallel_opt.md
index 0272125b00fc2ece292b2f4caceb49586541c691..f6ce8d076fd4138b6de2cb0ad6945ba7f1bb570b 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_parallel_opt.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_parallel_opt.md
@@ -2,7 +2,7 @@
`Ascend` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/distributed_training_transformer.md b/tutorials/experts/source_zh_cn/parallel/distributed_training_transformer.md
index ed7a113c49a99e638fb57eb426080aec0ff831ed..386733add4368eb04cb7ce120803d10cdb3fb0df 100644
--- a/tutorials/experts/source_zh_cn/parallel/distributed_training_transformer.md
+++ b/tutorials/experts/source_zh_cn/parallel/distributed_training_transformer.md
@@ -2,7 +2,7 @@
`Ascend` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/pangu_alpha.md b/tutorials/experts/source_zh_cn/parallel/pangu_alpha.md
index 94bb2a1eb130ca62150cac569904a39f6e7a7c65..35e10ec718c88ea59b65b04b5952a4bb79a62643 100644
--- a/tutorials/experts/source_zh_cn/parallel/pangu_alpha.md
+++ b/tutorials/experts/source_zh_cn/parallel/pangu_alpha.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/pynative_shard_function_parallel.md b/tutorials/experts/source_zh_cn/parallel/pynative_shard_function_parallel.md
index fcc4226c0bc9eaf43e8dae7883e06533cb49193a..d9665ed97783ee109fee71c45858396a7f589ad9 100644
--- a/tutorials/experts/source_zh_cn/parallel/pynative_shard_function_parallel.md
+++ b/tutorials/experts/source_zh_cn/parallel/pynative_shard_function_parallel.md
@@ -2,7 +2,7 @@
`Ascend` `分布式并行`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/save_load_model_hybrid_parallel.md b/tutorials/experts/source_zh_cn/parallel/save_load_model_hybrid_parallel.md
index 765bab7f55654d74b31737908e31335fa42fa238..62485b62c9961b45f2d47bd876868db32a524036 100644
--- a/tutorials/experts/source_zh_cn/parallel/save_load_model_hybrid_parallel.md
+++ b/tutorials/experts/source_zh_cn/parallel/save_load_model_hybrid_parallel.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `分布式并行` `模型导出` `模型加载`
-
+
## 概述
diff --git a/tutorials/experts/source_zh_cn/parallel/sharding_propagation.md b/tutorials/experts/source_zh_cn/parallel/sharding_propagation.md
index bc0bab5341fbcc1ccc58d10064a9a79283ea6233..a18d91ee33a7e5d9cf97456df5222e9d32b5a469 100644
--- a/tutorials/experts/source_zh_cn/parallel/sharding_propagation.md
+++ b/tutorials/experts/source_zh_cn/parallel/sharding_propagation.md
@@ -2,7 +2,7 @@
`Ascend` `GPU` `并行训练` `自动并行`
-
+
## 背景
diff --git a/tutorials/source_en/advance/linear_fitting.ipynb b/tutorials/source_en/advance/linear_fitting.ipynb
index 375708b66eef9572f8d4b4bb24084220465e2c56..e6715b75bacc768d98ea5e288e4bd449bb8714ae 100644
--- a/tutorials/source_en/advance/linear_fitting.ipynb
+++ b/tutorials/source_en/advance/linear_fitting.ipynb
@@ -5,7 +5,7 @@
"source": [
"# Customization Case:Simple Linear Function Fitting\n",
"\n",
- "[](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_en/beginner/quick_start.ipynb)"
+ "[](https://gitee.com/mindspore/docs/blob/tutorials-develop/tutorials/source_en/advance/linear_fitting.ipynb)"
],
"metadata": {}
},
diff --git a/tutorials/source_en/beginner/infer.md b/tutorials/source_en/beginner/infer.md
index 8ccdf1c3865c5a4de574e12fcee695ebe288d2ee..e5016ea8ff21b8014a9903018b12efe428af5647 100644
--- a/tutorials/source_en/beginner/infer.md
+++ b/tutorials/source_en/beginner/infer.md
@@ -1,6 +1,6 @@
# Inference and Deployment
-
+
This chapter uses the `mobilenet_v2` network fine-tuning approach in MindSpore Vision to develop an AI application (classification of the dog and the croissants) and deploy the trained network model to the Android phone to perform inference and deployment functions.
diff --git a/tutorials/source_en/beginner/quick_start.md b/tutorials/source_en/beginner/quick_start.md
index 564e72ee80006ca97077de3ac4602ae316a9d949..e0a804053a5fac6b3350995e875dd9f6c0f06a29 100644
--- a/tutorials/source_en/beginner/quick_start.md
+++ b/tutorials/source_en/beginner/quick_start.md
@@ -1,6 +1,6 @@
# Quickstart: Handwritten Digit Recognition
-
+
This section runs through the basic process of MindSpore deep learning, using the LeNet5 network model as an example to implement common tasks in deep learning.