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.
1569 Commits
28 Branches
25 MB
4619 Download
 
 
 
 
 
 
Tree: 809d5056cd
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from '809d5056cd'
${ noResults }
MegEngine/imperative/python/megengine/tools
Megvii Engine Team d6079db1f6 feat(profiler): add memory flow format for profiler 4 years ago
..
README.md feat(mge/experimental): add visualization and net stats for python graph 4 years ago
__init__.py feat(mge/experimental): add visualization and net stats for python graph 4 years ago
accuracy_shake_var_tree.py feat(mge): add a tool which can analyze the file generated by compare_binary_iodump.py 4 years ago
compare_binary_iodump.py feat(mge/experimental): add visualization and net stats for python graph 4 years ago
draw_graph.py feat(mge): enable cg dump for debugging 4 years ago
load_network_and_run.py feat(src/serialization): add support of serializing metadata 3 years ago
mge feat(mge/tools): add bash_completion for user to hint script 4 years ago
network_visualize.py feat(mge/tools): optimize statistical tools 4 years ago
profile_analyze.py feat(mge/experimental): add visualization and net stats for python graph 4 years ago
profiler.py feat(profiler): add memory flow format for profiler 3 years ago
svg_viewer.html feat(profiler): add memory flow format for profiler 3 years ago
svg_viewer.py feat(profiler): add memory flow format for profiler 3 years ago

README.md

MegEngine Tools

This directory contains executable python files.
Use these files in the following way (replace xxx to specific file name, like network_visualize):

python -m megengine.tools.xxx
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