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Megvii Engine Team 6c413ba943 refactor(mge): refactor physical tensor 3 years ago
.github feat(ci): update ci and readme 3 years ago
ci feat(ci): update ci and readme 3 years ago
cmake feat(lite): hidden lar gflags symbols for static link 3 years ago
dnn perf(imperative): specialize convolution implementation 3 years ago
imperative refactor(mge): refactor physical tensor 3 years ago
lite feat(opencl): add OpenCL cache compat level api 3 years ago
scripts fix(imperative): fix use collections error from python3.10 3 years ago
sdk fix(sdk/load_and_run): remove docs of dump_with_testcase_with_mge.py 3 years ago
src fix(megbrain): add rdnn to copybara 3 years ago
test feat(cmake): format all cmake file 3 years ago
third_party feat(mge/third_party): update cutlass version 3 years ago
toolchains feat(cmake): format all cmake file 3 years ago
tools feat(cmake): format all cmake file 3 years ago
.clang-format style(dnn): add bypass of clang-format for dnn foreach_opr macro 3 years ago
.gdbinit feat(dispatch): add gdb debug utils 3 years ago
.gitattributes feat(dnn): differentiate sass kernel with cuda version 3 years ago
.gitignore chroe(.gitignore): add more ignore rules for git 4 years ago
.gitmodules feat(mge): add cpp_redis and tacopie submodule 3 years ago
ACKNOWLEDGMENTS feat(lite): add header licence 3 years ago
CMakeLists.txt feat(dnn): differentiate sass kernel with cuda version 3 years ago
CODE_OF_CONDUCT.md fix typos 4 years ago
CONTRIBUTOR_LICENSE_AGREEMENT.md MegEngine: Initial commit of MegEngine. 5 years ago
LICENSE chore(mge): update copyright years 4 years ago
README.md feat(ci): update ci and readme 3 years ago
README_CN.md feat(ci): update ci and readme 3 years ago
commitlint.config.js ci(copybara): add config files and fix format script 3 years ago
logo.png MegEngine: Initial commit of MegEngine. 5 years ago

README.md

MegEngine

MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.

Installation

NOTE: MegEngine now supports Python installation on Linux-64bit/Windows-64bit/MacOS(CPU-Only)-10.14+/Android 7+(CPU-Only) platforms with Python from 3.5 to 3.8. On Windows 10 you can either install the Linux distribution through Windows Subsystem for Linux (WSL) or install the Windows distribution directly. Many other platforms are supported for inference.

Binaries

To install the pre-built binaries via pip wheels:

python3 -m pip install --upgrade pip
python3 -m pip install megengine -f https://megengine.org.cn/whl/mge.html

Building from Source

How to Contribute

We strive to build an open and friendly community. We aim to power humanity with AI.

How to Contact Us

Resources

License

MegEngine is licensed under the Apache License, Version 2.0

Citation

If you use MegEngine in your publication,please cite it by using the following BibTeX entry.

@Misc{MegEngine,
  institution = {megvii},
  title =  {MegEngine:A fast, scalable and easy-to-use deep learning framework},
  howpublished = {\url{https://github.com/MegEngine/MegEngine}},
  year = {2020}
}

Copyright (c) 2014-2021 Megvii Inc. All rights reserved.

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MegEngine 安装包中集成了使用 GPU 运行代码所需的 CUDA 环境，不用区分 CPU 和 GPU 版。 如果想要运行 GPU 程序，请确保机器本身配有 GPU 硬件设备并安装好驱动。 如果你想体验在云端 GPU 算力平台进行深度学习开发的感觉，欢迎访问 MegStudio 平台

C++ Cuda Python C SVG other