OpenI
/
MegEngine
Not watched
1
0
Fork 0
Code
Releases 31 Wiki Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
807 Commits
28 Branches
25 MB
3465 Download
 
 
 
 
 
 
Branch: release-1.0
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'release-1.0'
${ noResults }
MegEngine/imperative/python/src
Megvii Engine Team 2c9fa7f650 feat(mge/profiler): add compatible and graphviz mode 4 years ago
..
common.cpp feat(mge/device): __repr__ method will show physical device 4 years ago
common.h fix(imperative): fix hardcode of default device 4 years ago
dispatcher.cpp ci(image): update docker image install python package 4 years ago
dispatcher.h chore(mge): add multipledispatch license 4 years ago
graph_rt.cpp fix(imperative): set exception which worker thread throws for rendezvous 4 years ago
graph_rt.h fix(imperative): set exception which worker thread throws for rendezvous 4 years ago
helper.cpp refactor(mge/profiler): refactor profiler 4 years ago
helper.h fix(mge): fix refcnt in TensorShape caster 4 years ago
imperative_rt.cpp fix(imperative): fix hardcode of default device 4 years ago
imperative_rt.h refactor(mge): cpp license 4 years ago
module.cpp refactor(mge/imperative): fork multipledispatch 4 years ago
numpy_dtypes.h refactor(mge): cpp license 4 years ago
numpy_dtypes_bfloat16.cpp refactor(mge): cpp license 4 years ago
numpy_dtypes_intbx.cpp refactor(mge): cpp license 4 years ago
ops.cpp refactor(mge/imperative): add BackwardGraph.interpret 4 years ago
ops.h refactor(mge): cpp license 4 years ago
pyext17.h fix(imperative): fix compile error when vectorcall is enabled 4 years ago
utils.cpp feat(mge/profiler): add compatible and graphviz mode 4 years ago
utils.h refactor(mge): cpp license 4 years ago
Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

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