From 4ffee2889c99f83fd233b3fe910aefa124c12a12 Mon Sep 17 00:00:00 2001
From: leonwanghui <leon.wanghui@huawei.com>
Date: Thu, 3 Sep 2020 08:47:55 +0800
Subject: [PATCH] Update some docs

---
 README.md    | 3 ++-
 README_CN.md | 7 ++-----
 RELEASE.md   | 4 ++--
 3 files changed, 6 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 953ceb76229..793fd50b167 100644
--- a/README.md
+++ b/README.md
@@ -70,6 +70,7 @@ MindSpore offers build options across multiple backends:
 |  | EulerOS-aarch64 | ✔️ |
 | GPU CUDA 10.1 | Ubuntu-x86 | ✔️ |
 | CPU | Ubuntu-x86 | ✔️ |
+|  | Ubuntu-aarch64 | ✔️ |
 |  | Windows-x86 | ✔️ |
 
 For installation using `pip`, take `CPU` and `Ubuntu-x86` build version as an example:
@@ -179,7 +180,7 @@ currently the containerized build options are supported as follows:
     from mindspore import Tensor
     from mindspore.ops import functional as F
 
-    context.set_context(device_target="GPU")
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
 
     x = Tensor(np.ones([1,3,3,4]).astype(np.float32))
     y = Tensor(np.ones([1,3,3,4]).astype(np.float32))
diff --git a/README_CN.md b/README_CN.md
index 9dc95f52165..737644d2caa 100644
--- a/README_CN.md
+++ b/README_CN.md
@@ -24,11 +24,8 @@
 MindSpore是一种适用于端边云场景的新型开源深度学习训练/推理框架。
 MindSpore提供了友好的设计和高效的执行，旨在提升数据科学家和算法工程师的开发体验，并为Ascend AI处理器提供原生支持，以及软硬件协同优化。
 
-
 同时，MindSpore作为全球AI开源社区，致力于进一步开发和丰富AI软硬件应用生态。
 
-
-
 <img src="docs/MindSpore-architecture.png" alt="MindSpore Architecture" width="600"/>
 
 欲了解更多详情，请查看我们的[总体架构](https://www.mindspore.cn/docs/zh-CN/master/architecture.html)。
@@ -70,6 +67,7 @@ MindSpore提供跨多个后端的构建选项：
 |               | EulerOS-aarch64 | ✔️   |
 | GPU CUDA 10.1 | Ubuntu-x86      | ✔️   |
 | CPU           | Ubuntu-x86      | ✔️   |
+|               | Ubuntu-aarch64  | ✔️   |
 |               | Windows-x86     | ✔️   |
 
 使用`pip`命令安装，以`CPU`和`Ubuntu-x86`build版本为例：
@@ -178,7 +176,7 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
     from mindspore import Tensor
     from mindspore.ops import functional as F
 
-    context.set_context(device_target="GPU")
+    context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
 
     x = Tensor(np.ones([1,3,3,4]).astype(np.float32))
     y = Tensor(np.ones([1,3,3,4]).astype(np.float32))
@@ -226,7 +224,6 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
 
 欢迎参与贡献。更多详情，请参阅我们的[贡献者Wiki](CONTRIBUTING.md)。
 
-
 ## 版本说明
 
 版本说明请参阅[RELEASE](RELEASE.md)。
diff --git a/RELEASE.md b/RELEASE.md
index 13118481559..c070e7e8889 100644
--- a/RELEASE.md
+++ b/RELEASE.md
@@ -28,7 +28,7 @@
       * change IndexedSlices to RowTensor([!4031](https://gitee.com/mindspore/mindspore/pulls/4031))
       * Must set or change parallel mode before any Initializer created([!4801](https://gitee.com/mindspore/mindspore/pulls/4801))
 * Executor and performance optimization
-    * Minspore graph compilation process performance improved by 20%.
+    * MindSpore graph compilation process performance improved by 20%.
     * Decoupling C++ and Python modules to achieve separate compilation of core modules.
 * Data processing, augmentation, and save format
     * Support automatic data augmentation
@@ -52,7 +52,7 @@
 
 ### MindSpore Lite
 * Converter
-    * Support third party model, including TFLite/Caffe/ONNX.
+    * Support third-party models, including TFLite/Caffe/ONNX.
     * Add 93 TFLite op.
     * Add 24 Caffe op.
     * Add 62 ONNX op.