!585 update README files of r0.7 branch

Merge pull request !585 from liangyongxiong/r0.7

README.md

@@ -16,8 +16,8 @@ MindInsight provides MindSpore with easy-to-use debugging and tuning capabilitie
 
 ![MindInsight Architecture](docs/arch.png)
 
-Click to view the [Design document](https://www.mindspore.cn/docs/en/master/design.html)，learn more about the design.
-Click to view the [Tutorial documentation](https://www.mindspore.cn/tutorial/en/master/advanced_use/visualization_tutorials.html) learn more about the MindInsight tutorial.
+Click to view the [Design document](https://www.mindspore.cn/docs/en/r0.7/design.html)，learn more about the design.
+Click to view the [Tutorial documentation](https://www.mindspore.cn/tutorial/en/r0.7/advanced_use/visualization_tutorials.html) learn more about the MindInsight tutorial.
 
 ## Installation
 Download whl package from [MindSpore download page](https://www.mindspore.cn/versions/en), and install the package.
@@ -31,7 +31,7 @@ For more details on how to install MindInsight, click on the MindInsight section
 ## Quick Start
 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/api/en/master/api/python/mindspore/mindspore.train.html?highlight=summarycollector#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/api/en/r0.7/api/python/mindspore/mindspore.train.html?highlight=summarycollector#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`.
 ```
 ...
 
@@ -40,7 +40,7 @@ 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/en/master/advanced_use/visualization_tutorials.html).
+For more ways to record visual data, see the [MindInsight Tutorial](https://www.mindspore.cn/tutorial/en/r0.7/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.
 ```
@@ -69,7 +69,7 @@ Check out how MindSpore Open Governance [works](https://gitee.com/mindspore/comm
 - Mailing-list: <https://mailweb.mindspore.cn/postorius/lists>
 
 ## Contributing
-Welcome contributions. See our [Contributor Wiki](https://gitee.com/mindspore/mindspore/blob/master/CONTRIBUTING.md) for
+Welcome contributions. See our [Contributor Wiki](https://gitee.com/mindspore/mindspore/blob/r0.7/CONTRIBUTING.md) for
 more details.
 
 ## Release Notes

README_CN.md

@@ -16,8 +16,8 @@ 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[设计文档](https://www.mindspore.cn/docs/zh-CN/master/design.html)，了解更多设计详情。
-点击查看[教程文档](https://www.mindspore.cn/tutorial/zh-CN/master/advanced_use/visualization_tutorials.html)，了解更多MindInsight教程。
+点击查看[设计文档](https://www.mindspore.cn/docs/zh-CN/r0.7/design.html)，了解更多设计详情。
+点击查看[教程文档](https://www.mindspore.cn/tutorial/zh-CN/r0.7/advanced_use/visualization_tutorials.html)，了解更多MindInsight教程。
 
 ## 安装
 请从[MindSpore下载页面](https://www.mindspore.cn/versions)下载并安装whl包。
@@ -32,7 +32,7 @@ pip install -U mindinsight-{version}-cp37-cp37m-linux_{arch}.whl
 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/api/zh-CN/master/api/python/mindspore/mindspore.train.html?highlight=summarycollector#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/api/zh-CN/r0.7/api/python/mindspore/mindspore.train.html?highlight=summarycollector#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`。
 ```
 ...
@@ -42,7 +42,7 @@ 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/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/zh-CN/r0.7/advanced_use/visualization_tutorials.html)。
 
 收集好数据后，启动MindInsight时指定存放数据的目录。
 ```
@@ -70,7 +70,7 @@ mindinsight stop
 - 邮件列表：<https://mailweb.mindspore.cn/postorius/lists>
 
 ## 贡献
-欢迎参与贡献。更多详情，请参阅我们的[贡献者Wiki](https://gitee.com/mindspore/mindspore/blob/master/CONTRIBUTING.md)。
+欢迎参与贡献。更多详情，请参阅我们的[贡献者Wiki](https://gitee.com/mindspore/mindspore/blob/r0.7/CONTRIBUTING.md)。
 
 ## 版本说明
 版本说明请参阅[RELEASE](RELEASE.md)。