mindspore

(β˜… 4,698)

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Showing a partial file list β€” download the zip above to see everything.

  • .clang-format
  • .gitattributes
  • .gitignore
  • .gitmodules
  • akg
  • build.bat
  • build.sh
  • CMakeLists.txt
  • CONTRIBUTING.md
  • CONTRIBUTING_CN.md
  • graphengine
  • LICENSE
  • NOTICE
  • OWNERS
  • README.md
  • README_CN.md
  • RELEASE.md
  • RELEASE_CN.md
  • SECURITY.md
  • Third_Party_Open_Source_Software_Notice

# Installation Guide

1. Get the code
git clone https://github.com/mindspore-ai/mindspore

Downloads the entire project code from GitHub to your computer.

cd mindspore

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/1.2.0-rc1/MindSpore/cpu/ubuntu_x86/mindspore-1.2.0rc1-cp37-cp37m-linux_x86_64.whl

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. CMake

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • CMake The tool used to generate build configuration.
  • C/C++ 컴파일러 Windows needs Visual Studio (Community edition, free), macOS needs Xcode Command Line Tools, Linux needs the gcc/g++ package.
mkdir build && cd build

Creates a folder to hold the build output and moves into it.

cmake ..

Analyzes the source code and generates build configuration files (must be run inside the build folder).

make

Compiles the code based on the generated build configuration to produce an executable.

βœ… Check that an executable was created inside the build folder, then run it directly (e.g. ./build/app_name).
// repository documentation