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					@ -72,7 +72,6 @@ MindSpore offers build options across multiple backends:
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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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