From f21bd45159c8c255edeffe0e754b4182a65dd8e6 Mon Sep 17 00:00:00 2001 From: yanghaoran Date: Fri, 11 Dec 2020 16:28:16 +0800 Subject: [PATCH] update MindSpore version to 1.1.0 --- README.md | 11 +++++------ README_CN.md | 11 +++++------ setup.py | 2 +- 3 files changed, 11 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 4ccba34c970..0178908bbf1 100644 --- a/README.md +++ b/README.md @@ -72,7 +72,6 @@ MindSpore offers build options across multiple backends: | :---------------- | :--------------- | :----- | | Ascend910 | Ubuntu-x86 | ✔️ | | | Ubuntu-aarch64 | ✔️ | -| | EulerOS-x86 | ✔️ | | | EulerOS-aarch64 | ✔️ | | | CentOS-x86 | ✔️ | | | CentOS-aarch64 | ✔️ | @@ -86,7 +85,7 @@ For installation using `pip`, take `CPU` and `Ubuntu-x86` build version as an ex 1. Download whl from [MindSpore download page](https://www.mindspore.cn/versions/en), and install the package. ```bash - pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.0.0/MindSpore/cpu/ubuntu_x86/mindspore-1.0.0-cp37-cp37m-linux_x86_64.whl + pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.1.0/MindSpore/cpu/ubuntu_x86/mindspore-1.1.0-cp37-cp37m-linux_x86_64.whl ``` 2. Run the following command to verify the install. @@ -155,8 +154,8 @@ currently the containerized build options are supported as follows: For `CPU` backend, you can directly pull and run the latest stable image using the below command: ```bash - docker pull mindspore/mindspore-cpu:1.0.0 - docker run -it mindspore/mindspore-cpu:1.0.0 /bin/bash + docker pull mindspore/mindspore-cpu:1.1.0 + docker run -it mindspore/mindspore-cpu:1.1.0 /bin/bash ``` - GPU @@ -196,8 +195,8 @@ currently the containerized build options are supported as follows: Then you can pull and run the latest stable image using the below command: ```bash - docker pull mindspore/mindspore-gpu:1.0.0 - docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.0.0 /bin/bash + docker pull mindspore/mindspore-gpu:1.1.0 + docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.1.0 /bin/bash ``` To test if the docker image works, please execute the python code below and check the output: diff --git a/README_CN.md b/README_CN.md index fdb87a2aa7b..3e8c6817b62 100644 --- a/README_CN.md +++ b/README_CN.md @@ -69,7 +69,6 @@ MindSpore提供跨多个后端的构建选项： | :------------ | :-------------- | :--- | | Ascend 910 | Ubuntu-x86 | ✔️ | | | Ubuntu-aarch64 | ✔️ | -| | EulerOS-x86 | ✔️ | | | EulerOS-aarch64 | ✔️ | | | CentOS-x86 | ✔️ | | | CentOS-aarch64 | ✔️ | @@ -83,7 +82,7 @@ MindSpore提供跨多个后端的构建选项： 1. 请从[MindSpore下载页面](https://www.mindspore.cn/versions)下载并安装whl包。 ```bash - pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.0.0/MindSpore/cpu/ubuntu_x86/mindspore-1.0.0-cp37-cp37m-linux_x86_64.whl + pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.1.0/MindSpore/cpu/ubuntu_x86/mindspore-1.1.0-cp37-cp37m-linux_x86_64.whl ``` 2. 执行以下命令，验证安装结果。 @@ -152,8 +151,8 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore 对于`CPU`后端，可以直接使用以下命令获取并运行最新的稳定镜像： ```bash - docker pull mindspore/mindspore-cpu:1.0.0 - docker run -it mindspore/mindspore-cpu:1.0.0 /bin/bash + docker pull mindspore/mindspore-cpu:1.1.0 + docker run -it mindspore/mindspore-cpu:1.1.0 /bin/bash ``` - GPU @@ -193,8 +192,8 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore 使用以下命令获取并运行最新的稳定镜像： ```bash - docker pull mindspore/mindspore-gpu:1.0.0 - docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.0.0 /bin/bash + docker pull mindspore/mindspore-gpu:1.1.0 + docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.1.0 /bin/bash ``` 要测试Docker是否正常工作，请运行下面的Python代码并检查输出： diff --git a/setup.py b/setup.py index 78cdbe996a2..d598e61411d 100644 --- a/setup.py +++ b/setup.py @@ -23,7 +23,7 @@ from setuptools import setup, find_packages from setuptools.command.egg_info import egg_info from setuptools.command.build_py import build_py -version = '1.0.0' +version = '1.1.0' backend_policy = os.getenv('BACKEND_POLICY') device_target = os.getenv('BACKEND_TARGET')