modify the version in link as r1.1

README.md

@@ -30,8 +30,8 @@ MindInsight provides MindSpore with easy-to-use debugging and tuning capabilitie
 
 ![MindInsight Architecture](docs/arch.png)
 
-Click to view the [MindInsight design document](https://www.mindspore.cn/doc/note/en/master/design/mindinsight.html), learn more about the design.
-Click to view the [Tutorial documentation](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/visualization_tutorials.html) learn more about the MindInsight tutorial.
+Click to view the [MindInsight design document](https://www.mindspore.cn/doc/note/en/r1.1/design/mindinsight.html), learn more about the design.
+Click to view the [Tutorial documentation](https://www.mindspore.cn/tutorial/training/en/r1.1/advanced_use/visualization_tutorials.html) learn more about the MindInsight tutorial.
 
 ## Installation
 
@@ -46,7 +46,7 @@ Click to view the [Tutorial documentation](https://www.mindspore.cn/tutorial/tra
     - Confirm that [node.js](https://nodejs.org/en/download/) 10.19.0 or later is installed.
     - Confirm that [wheel](https://pypi.org/project/wheel/) 0.32.0 or later is installed.
     - Confirm that [pybind11](https://pypi.org/project/pybind11/) 2.4.3 or later is installed.
-- All other dependencies are included in [requirements.txt](https://gitee.com/mindspore/mindinsight/blob/master/requirements.txt).
+- All other dependencies are included in [requirements.txt](https://gitee.com/mindspore/mindinsight/blob/r1.1/requirements.txt).
 
 ### Installation Methods
 
@@ -58,7 +58,7 @@ You can install MindInsight either by pip or by source code.
 pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/{version}/MindInsight/ascend/{system}/mindinsight-{version}-cp37-cp37m-linux_{arch}.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
 ```
 
-> - When the network is connected, dependency items are automatically downloaded during .whl package installation. (For details about other dependency items, see [requirements.txt](https://gitee.com/mindspore/mindinsight/blob/master/requirements.txt)). In other cases, you need to manually install dependency items.  
+> - When the network is connected, dependency items are automatically downloaded during .whl package installation. (For details about other dependency items, see [requirements.txt](https://gitee.com/mindspore/mindinsight/blob/r1.1/requirements.txt)). In other cases, you need to manually install dependency items.  
 > - `{version}` denotes the version of MindInsight. For example, when you are downloading MindSpore 1.0.1, `{version}` should be 1.0.1.  
 > - `{arch}` denotes the system architecture. For example, the Linux system you are using is x86 architecture 64-bit, `{arch}` should be `x86_64`. If the system is ARM architecture 64-bit, then it should be `aarch64`.  
 > - `{system}` denotes the system version. For example, if you are using EulerOS ARM architecture, `{system}` should be `euleros_aarch64`. Currently, the following systems are supported by Ascend: `euleros_aarch64`/`centos_aarch64`/`centos_x86`/`ubuntu_aarch64`/`ubuntu_x86`. `ubuntu_x86` is supported by GPU.
@@ -112,7 +112,7 @@ service start state: success
 
 Before using MindInsight, the data in the training process should be recorded. When starting MindInsight, the directory of the saved data should be specified. After successful startup, the data can be viewed through the web page. Here is a brief introduction to recording training data, as well as starting and stopping MindInsight.
 
-[SummaryCollector](https://www.mindspore.cn/doc/api_python/en/master/mindspore/mindspore.train.html#mindspore.train.callback.SummaryCollector) is the interface MindSpore provides for a quick and easy collection of common data about computational graphs, loss values, learning rates, parameter weights, and so on. Below is an example of using `SummaryCollector` for data collection, specifying the directory where the data is stored in `./summary_dir`.
+[SummaryCollector](https://www.mindspore.cn/doc/api_python/en/r1.1/mindspore/mindspore.train.html#mindspore.train.callback.SummaryCollector) is the interface MindSpore provides for a quick and easy collection of common data about computational graphs, loss values, learning rates, parameter weights, and so on. Below is an example of using `SummaryCollector` for data collection, specifying the directory where the data is stored in `./summary_dir`.
 
 ```python
 ...
@@ -122,7 +122,7 @@ summary_collector = SummaryCollector(summary_dir='./summary_dir')
 model.train(epoch=1, ds_train, callbacks=[summary_collector])
 ```
 
-For more ways to record visual data, see the [MindInsight Tutorial](https://www.mindspore.cn/tutorial/training/en/master/advanced_use/visualization_tutorials.html).
+For more ways to record visual data, see the [MindInsight Tutorial](https://www.mindspore.cn/tutorial/training/en/r1.1/advanced_use/visualization_tutorials.html).
 
 After you've collected the data, when you launch MindInsight, specify the directory in which the data has been stored.
 

README_CN.md

@@ -30,8 +30,8 @@ MindInsight为MindSpore提供了简单易用的调优调试能力。在训练过
 
 ![MindInsight Architecture](docs/arch.png)
 
-点击查看[MindInsight设计文档](https://www.mindspore.cn/doc/note/zh-CN/master/design/mindinsight.html)，了解更多设计详情。
-点击查看[教程文档](https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/visualization_tutorials.html)，了解更多MindInsight教程。
+点击查看[MindInsight设计文档](https://www.mindspore.cn/doc/note/zh-CN/r1.1/design/mindinsight.html)，了解更多设计详情。
+点击查看[教程文档](https://www.mindspore.cn/tutorial/training/zh-CN/r1.1/advanced_use/visualization_tutorials.html)，了解更多MindInsight教程。
 
 ## 安装
 
@@ -46,7 +46,7 @@ MindInsight为MindSpore提供了简单易用的调优调试能力。在训练过
     - 确认安装[node.js](https://nodejs.org/en/download/) 10.19.0及以上版本。
     - 确认安装[wheel](https://pypi.org/project/wheel/) 0.32.0及以上版本。
     - 确认安装[pybind11](https://pypi.org/project/pybind11/) 2.4.3及以上版本。
-- 其他依赖参见[requirements.txt](https://gitee.com/mindspore/mindinsight/blob/master/requirements.txt)。
+- 其他依赖参见[requirements.txt](https://gitee.com/mindspore/mindinsight/blob/r1.1/requirements.txt)。
 
 ### 安装方式
 
@@ -58,7 +58,7 @@ MindInsight为MindSpore提供了简单易用的调优调试能力。在训练过
 pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/{version}/MindInsight/ascend/{system}/mindinsight-{version}-cp37-cp37m-linux_{arch}.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
 ```
 
-> - 在联网状态下，安装whl包时会自动下载MindInsight安装包的依赖项（依赖项详情参见[requirements.txt](https://gitee.com/mindspore/mindinsight/blob/master/requirements.txt)），其余情况需自行安装。  
+> - 在联网状态下，安装whl包时会自动下载MindInsight安装包的依赖项（依赖项详情参见[requirements.txt](https://gitee.com/mindspore/mindinsight/blob/r1.1/requirements.txt)），其余情况需自行安装。  
 > - `{version}`表示MindInsight版本号，例如下载1.0.1版本MindInsight时，`{version}`应写为1.0.1。  
 > - `{arch}`表示系统架构，例如使用的Linux系统是x86架构64位时，`{arch}`应写为`x86_64`。如果系统是ARM架构64位，则写为`aarch64`。  
 > - `{system}`表示系统版本，例如使用的欧拉系统ARM架构，`{system}`应写为`euleros_aarch64`，目前Ascend版本可支持以下系统`euleros_aarch64`/`centos_aarch64`/`centos_x86`/`ubuntu_aarch64`/`ubuntu_x86`；GPU版本可支持以下系统`ubuntu_x86`。
@@ -113,7 +113,7 @@ service start state: success
 使用MindInsight前，需要先将训练过程中的数据记录下来，启动MindInsight时，指定所保存的数据的位置，启动成功后，
 即可通过可视化页面查看数据。下面将简单介绍记录训练过程数据，以及启动、停止MindInsight服务。
 
-[SummaryCollector](https://www.mindspore.cn/doc/api_python/zh-CN/master/mindspore/mindspore.train.html#mindspore.train.callback.SummaryCollector)是MindSpore提供的快速简易地收集一些常见信息的接口，收集的信息包括计算图、损失值、学习率、参数权重等。
+[SummaryCollector](https://www.mindspore.cn/doc/api_python/zh-CN/r1.1/mindspore/mindspore.train.html#mindspore.train.callback.SummaryCollector)是MindSpore提供的快速简易地收集一些常见信息的接口，收集的信息包括计算图、损失值、学习率、参数权重等。
 下面是使用 `SummaryCollector` 进行数据收集的示例，其中指定存放数据的目录为 `./summary_dir`。
 
 ```python
@@ -124,7 +124,7 @@ summary_collector = SummaryCollector(summary_dir='./summary_dir')
 model.train(epoch=1, ds_train, callbacks=[summary_collector])
 ```
 
-更多记录可视化数据的方法，请点击查看[MindInsight使用教程](https://www.mindspore.cn/tutorial/training/zh-CN/master/advanced_use/visualization_tutorials.html)。
+更多记录可视化数据的方法，请点击查看[MindInsight使用教程](https://www.mindspore.cn/tutorial/training/zh-CN/r1.1/advanced_use/visualization_tutorials.html)。
 
 收集好数据后，启动MindInsight时指定存放数据的目录。