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# Installing MindSpore in CPU by Source Code

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This document describes how to quickly install MindSpore by source code in a Linux system with a CPU environment.

System Environment Information Confirmation

  • Confirm that Ubuntu 18.04 is installed with 64-bit operating system.

  • Confirm that GCC 7.3.0 is installed.

  • Confirm that Python 3.7.5 is installed.

  • Confirm that OpenSSL 1.1.1 or later is installed.

    • Set system variable export OPENSSL_ROOT_DIR="OpenSSL installation directory" after installation.
  • Confirm that CMake 3.18.3 or later is installed.

    • Add the path where the executable file cmake stores to the environment variable PATH.
  • Confirm that wheel 0.32.0 or later is installed.

  • Confirm that patch 2.5 or later is installed.

    • Add the path where the executable file patch stores to the environment variable PATH.
  • Confirm that the git tool is installed.
    If not, use the following command to install it:

    apt-get install git
    

Downloading Source Code from Code Repository

git clone https://gitee.com/mindspore/mindspore.git -b r1.0

Compiling MindSpore

Run the following command in the root directory of the source code to compile MindSpore:

bash build.sh -e cpu -j4

Of which,

  • If the compiler performance is strong, you can add -j{Number of threads} in to script to increase the number of threads. For example, bash build.sh -e cpu -j12.

Installing MindSpore

chmod +x build/package/mindspore-{version}-cp37-cp37m-linux_{arch}.whl
pip install build/package/mindspore-{version}-cp37-cp37m-linux_{arch}.whl -i https://pypi.tuna.tsinghua.edu.cn/simple

Of which,

  • When the network is connected, dependency items are automatically downloaded during .whl package installation. (For details about other dependency items, see requirements.txt),In other cases, you need to manually install dependency items.
  • {version} denotes the version of MindSpore. For example, when you are downloading MindSpore 1.0.1, {version} should be 1.0.1.
  • {arch} denotes the system architecture. For example, the Linux system you are using is x86 architecture 64-bit, {arch} should be x86_64. If the system is ARM architecture 64-bit, then it should be aarch64.

Installation Verification

python -c 'import mindspore;print(mindspore.__version__)'

If the MindSpore version number is output, it means that MindSpore is installed successfully, and if the output is No module named'mindspore', it means that the installation was not successful.

Version Update

Using the following command if you need update MindSpore version:

  • Update online

    pip install --upgrade mindspore
    
  • Update after source code compilation

    After successfully executing the compile script build.sh in the root path of the source code, find the whl package in path build/package, use the following command to update your version.

    pip install --upgrade mindspore-{version}-cp37-cp37m-linux_{arch}.whl
    

Installing MindArmour

If you need to conduct AI model security research or enhance the security of the model in you applications, you can install MindArmour.

For more details, please refer to MindArmour.

Installing MindSpore Hub

If you need to access and experience MindSpore pre-trained models quickly, you can install MindSpore Hub.

For more details, please refer to MindSpore Hub.

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