forked from mindspore-Ecosystem/mindspore
update MindSpore version to 1.1.0
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11
README.md
11
README.md
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@ -72,7 +72,6 @@ MindSpore offers build options across multiple backends:
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| :---------------- | :--------------- | :----- |
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| Ascend910 | Ubuntu-x86 | ✔️ |
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| | Ubuntu-aarch64 | ✔️ |
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| | EulerOS-x86 | ✔️ |
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| | EulerOS-aarch64 | ✔️ |
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| | CentOS-x86 | ✔️ |
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| | CentOS-aarch64 | ✔️ |
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@ -86,7 +85,7 @@ For installation using `pip`, take `CPU` and `Ubuntu-x86` build version as an ex
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1. Download whl from [MindSpore download page](https://www.mindspore.cn/versions/en), and install the package.
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```bash
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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
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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
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```
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2. Run the following command to verify the install.
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@ -155,8 +154,8 @@ currently the containerized build options are supported as follows:
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For `CPU` backend, you can directly pull and run the latest stable image using the below command:
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```bash
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docker pull mindspore/mindspore-cpu:1.0.0
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docker run -it mindspore/mindspore-cpu:1.0.0 /bin/bash
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docker pull mindspore/mindspore-cpu:1.1.0
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docker run -it mindspore/mindspore-cpu:1.1.0 /bin/bash
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```
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- GPU
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@ -196,8 +195,8 @@ currently the containerized build options are supported as follows:
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Then you can pull and run the latest stable image using the below command:
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```bash
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docker pull mindspore/mindspore-gpu:1.0.0
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docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.0.0 /bin/bash
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docker pull mindspore/mindspore-gpu:1.1.0
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docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.1.0 /bin/bash
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```
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To test if the docker image works, please execute the python code below and check the output:
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11
README_CN.md
11
README_CN.md
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@ -69,7 +69,6 @@ MindSpore提供跨多个后端的构建选项:
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| :------------ | :-------------- | :--- |
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| Ascend 910 | Ubuntu-x86 | ✔️ |
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| | Ubuntu-aarch64 | ✔️ |
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| | EulerOS-x86 | ✔️ |
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| | EulerOS-aarch64 | ✔️ |
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| | CentOS-x86 | ✔️ |
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| | CentOS-aarch64 | ✔️ |
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@ -83,7 +82,7 @@ MindSpore提供跨多个后端的构建选项:
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1. 请从[MindSpore下载页面](https://www.mindspore.cn/versions)下载并安装whl包。
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```bash
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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
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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
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```
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2. 执行以下命令,验证安装结果。
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@ -152,8 +151,8 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
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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:
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```bash
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docker pull mindspore/mindspore-cpu:1.0.0
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docker run -it mindspore/mindspore-cpu:1.0.0 /bin/bash
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docker pull mindspore/mindspore-cpu:1.1.0
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docker run -it mindspore/mindspore-cpu:1.1.0 /bin/bash
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```
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- GPU
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@ -193,8 +192,8 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
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使用以下命令获取并运行最新的稳定镜像:
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```bash
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docker pull mindspore/mindspore-gpu:1.0.0
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docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.0.0 /bin/bash
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docker pull mindspore/mindspore-gpu:1.1.0
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docker run -it -v /dev/shm:/dev/shm --runtime=nvidia --privileged=true mindspore/mindspore-gpu:1.1.0 /bin/bash
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```
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要测试Docker是否正常工作,请运行下面的Python代码并检查输出:
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2
setup.py
2
setup.py
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@ -23,7 +23,7 @@ from setuptools import setup, find_packages
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from setuptools.command.egg_info import egg_info
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from setuptools.command.build_py import build_py
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version = '1.0.0'
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version = '1.1.0'
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backend_policy = os.getenv('BACKEND_POLICY')
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device_target = os.getenv('BACKEND_TARGET')
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