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Megvii Engine Team 01092feb9b feat(mgb): add PackAllReducePass 5 years ago
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bfloat16.cpp feat(mge): add bfloat16 support 5 years ago
craniotome.cpp MegEngine: Initial commit of MegEngine. 5 years ago
craniotome.h MegEngine: Initial commit of MegEngine. 5 years ago
function_replace.cpp ci(pytest): use common method install pip package 5 years ago
intbx.cpp MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_config.cpp feat(mgb): add PackAllReducePass 5 years ago
megbrain_config.h fix(mgb/build): fix multi-machine macro and add test_distributed 5 years ago
megbrain_pubapi.cpp MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_pubapi.h MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_pubapi_internal.h MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_serialize.cpp MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_serialize.h MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_serialize_TensorValueDumperContext.py MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_serialize_TensorValueLoaderContext.py MegEngine: Initial commit of MegEngine. 5 years ago
megbrain_wrap.cpp feat(mge): add bfloat16 support 5 years ago
megbrain_wrap.h feat(mgb/opr): add property params for python operator class 5 years ago
numpy_incl.h feat(mge): add bfloat16 support 5 years ago
opr_defs.cpp refactor(mge/distribute): use is_root (and rank) in stead of rank and root at collective comm 5 years ago
opr_defs.h refactor(mge/distribute): use is_root (and rank) in stead of rank and root at collective comm 5 years ago
opr_helper.cpp MegEngine: Initial commit of MegEngine. 5 years ago
opr_helper.h MegEngine: Initial commit of MegEngine. 5 years ago
plugin.cpp MegEngine: Initial commit of MegEngine. 5 years ago
plugin.h MegEngine: Initial commit of MegEngine. 5 years ago
python_helper.cpp feat(mge):add qint4/quint4 to python 5 years ago
python_helper.h MegEngine: Initial commit of MegEngine. 5 years ago

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