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.
1013 Commits
28 Branches
25 MB
4619 Download
 
 
 
 
 
 
Tree: b310f2615b
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'b310f2615b'
${ noResults }
MegEngine/imperative/python/megengine
Megvii Engine Team b310f2615b feat(mge/imperative): implement trace and dump under new core implementation 4 years ago
..
autodiff refactor(mge/imperative): implement new tensor system 4 years ago
core feat(mge/imperative): implement trace and dump under new core implementation 4 years ago
data refactor(mge/data): Refactor megeninge.data.dataset 4 years ago
distributed refactor(mge/tensor): remove old implementation 4 years ago
functional refactor(mge/tensor): remove old implementation 4 years ago
hub docs(mge): pytest for sphinx docstring 4 years ago
jit feat(mge/imperative): implement trace and dump under new core implementation 4 years ago
module fix(mge/quantization): fix `qat.conv_bn` parameter issue 4 years ago
optimizer refactor(mge/tensor): remove old implementation 4 years ago
quantization test(mge/quantization): qat module, quantized op and module 4 years ago
random refactor(mge/imperative): implement new tensor system 4 years ago
utils refactor(mge/tensor): remove old implementation 4 years ago
__init__.py refactor(mge/imperative): migrate to new core implementation 4 years ago
device.py feat(mge/device): add python binding for get_mem_status_bytes 4 years ago
logger.py docs(mge): pytest for sphinx docstring 4 years ago
serialization.py docs(mge): pytest for sphinx docstring 4 years ago
tensor.py feat(mge/imperative): implement trace and dump under new core implementation 4 years ago
version.py chore(version): fix dev version to a large number 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